469 Data Insights jobs in Malaysia

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Manager – Data Analytics & Insights

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Manager – Data Analytics & Insights

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WPP Media Get AI-powered advice on this job and more exclusive features. Manager – Choreograph APAC Analytics & Insights (Delivery)

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

Overview Of Job

Choreograph, a WPP company, is looking for a dynamic, results-oriented

Manager

having 3 to 6 years of relevant experience with strong expertise in

SQL, Visualization, Cloud , and

Python

to lead our Data Insights & Analytics team. This role will be key in driving data exploration, insights generation, and creating impactful reports for business decision-making. The ideal candidate will have proven experience in managing teams, excellent communication skills, and a deep understanding of the latest data technologies. Choreograph Analytics & Insights is a global team with centres of excellence in Western & Central Europe, North & South America, and Asia Pacific. The role would be based out of our Asia Pacific centre in Singapore and cover multiple markets across the region.

Reporting of the role

This role reports to the Associate Director / Director level within Choreograph APAC Analytics & Insights (Delivery) team

3 Best Things About The Job

Opportunity to work directly with the world’s biggest brands on high profile projects regionally and globally A fun, flexible work environment that combines the best of entrepreneurialism whilst at the same time being part of the largest marketing services group in the world Working within a proven, high performing team with an excellent network of support and development opportunities within Choreograph-GroupM and WPP

Measures of success –

In One Month, You Will

Have gained a deep understanding of the company's data infrastructure, tools, and processes. Established strong relationships with team members and key stakeholders. Become familiar with the current data initiatives and ongoing projects. Provided initial insights from existing data sources.

In Three Months, You Will

Begin managing day-to-day operations of the data team. Have delivered actionable reports and dashboards with insights that contribute to key business decisions. Ensured your team is aligned with the strategic goals of the department. Built processes for data exploration and insights generation that enhance business intelligence.

In Six Months, You Will

Lead the development and optimization of new data models, reports, and dashboards for strategic decision-making. Drive improvements in data practices and foster a culture of data-driven decision-making within the organization. Successfully mentored and developed team members, improving both their technical and communication skills. Have introduced new methodologies or tools (e.g., machine learning, advanced analytics) to improve data analysis and reporting.

Skills And Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Responsibilities

Lead and Manage Team:

Oversee a team of data analysts/engineers, ensuring timely delivery of actionable insights, reports, and visualizations.

Data Exploration and Insights Generation:

Drive the exploration of large datasets to identify trends, patterns, and actionable insights that support business strategies.

SQL & Database Management:

Develop and optimize complex SQL queries to extract, manipulate, and analyze data from various sources.

Data Visualization:

Design and develop visual reports and dashboards to provide clear insights and enable data-driven decisions. Expertise in tools like Power BI, Tableau, or other visualization platforms is required.

Cloud Technologies:

Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to store, process, and analyze data, ensuring scalability and cost efficiency.

Python Programming:

Apply Python for data wrangling, statistical analysis, and automation of data pipelines.

Communication & Reporting:

Present findings to stakeholders through clear, concise, and impactful presentations. Ensure complex insights are translated into business-relevant recommendations.

Process Improvement:

Continuously evaluate and improve processes, identifying opportunities to enhance the efficiency and impact of the data team.

Stakeholder Management:

Act as a bridge between technical and non-technical teams to ensure alignment on business objectives and data requirements.

Required Skills

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong expertise in SQL for data manipulation and querying. Hands-on experience with data visualization tools (e.g., Power BI, Tableau, etc.). Experience in cloud platforms (AWS, Azure, Google Cloud). Proficiency in Python and its application in data analysis and automation. Solid understanding of programming concepts and techniques. Ability to generate insights from large datasets, providing actionable business intelligence. Excellent communication skills with the ability to present technical findings to non-technical audiences. Demonstrated ability to manage a team effectively and drive results.

Good To Have

Experience with machine learning algorithms and techniques. Familiarity with big data technologies like Spark and Hadoop. Experience with data warehousing concepts. Knowledge of statistical modeling and hypothesis testing. Experience with version control systems (e.g., Git).

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please read our Privacy Notice ( for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

Choreograph

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

requisitionid:41257

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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Overview

VP, Data Analytics & Insights Specialist – Kuala Lumpur, Malaysia (UOB).

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

The incumbent is responsible for building analytical capabilities in response to external and internal requests; adopting in-house AFC analytical models into countries context. These includes driving and providing guidance to country AFC analytics team when engaging with the business, Group Compliance/AFC, regulators etc. to understand the needs and requirements and subsequently reflect these requirements in the AFC analytics models together with Group Modelling team. This role also needs to ensure that the design and data architecture for the countries supported can support AFC analytics needs so that we can have a seamless deployment of AFC analytical models into production environment and compatibilities of country specific systems against the model to be deployed.

Responsibilities

• Support model maintenance


• Liaise with countries Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models' enhancement/ maintenance.


• Together with country data analytics team and centralized modelling team perform re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.


• New model development


• Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline.


• Develop model narratives (e.g. purpose, logic, parameters, data requirements, output surfacing/structuring) in collaboration with the business and other relevant stakeholders in respective countries.


• Work closely with Group modelling Data Scientist(s) and countries Business Analyst, and to support regional AFC model development for various range of models (rule-based, supervised/unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed.


• Special projects


• Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g. regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models.


• Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML.


• Communicate with countries Business Analyst to understand new regulatory requirements/policy updates relating to the areas/risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models.


• Model governance


• Support the Head of Analytics Assurance in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models.


• Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.

Qualifications

• 5 – 10 years of experience working in the technology space and preferably 2 – 4 years of data science/data analytics experience.


• 1 – 2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning).


• Prior experience working on large-scale analytics projects.


• Experience in or familiarity with analytics related to AML/AFC/compliance risks.


• Ability to clearly communicate technical results in an easy-to-understand manner and tailoring them to different audiences.


• Ability to handle multiple priorities and work under pressure.


• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or equivalent.


• R and Python for data science, with strong practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn).


• Comfortable working with structured and unstructured data and distributed databases.


• Familiar with natural language processing and network link analysis.


• Familiar with best practice development standards.

Additional Requirements

• Develop, Engage, Execute, Strategise


• Be a Part of the UOB Family


• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Job Details

• Seniority level: Executive


• Employment type: Full-time


• Job function: Business Development and Sales


• Industries: Banking

Apply now and make a Difference

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Overview

VP, Data Analytics & Insights Specialist – Kuala Lumpur, Malaysia (UOB). United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description

The incumbent is responsible for building analytical capabilities in response to external and internal requests; adopting in-house AFC analytical models into countries context. These includes driving and providing guidance to country AFC analytics team when engaging with the business, Group Compliance/AFC, regulators etc. to understand the needs and requirements and subsequently reflect these requirements in the AFC analytics models together with Group Modelling team. This role also needs to ensure that the design and data architecture for the countries supported can support AFC analytics needs so that we can have a seamless deployment of AFC analytical models into production environment and compatibilities of country specific systems against the model to be deployed. Responsibilities

Support model maintenance Liaise with countries Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models' enhancement/ maintenance. Together with country data analytics team and centralized modelling team perform re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed. New model development Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline. Develop model narratives (e.g. purpose, logic, parameters, data requirements, output surfacing/structuring) in collaboration with the business and other relevant stakeholders in respective countries. Work closely with Group modelling Data Scientist(s) and countries Business Analyst, and to support regional AFC model development for various range of models (rule-based, supervised/unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed. Special projects Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g. regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models. Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML. Communicate with countries Business Analyst to understand new regulatory requirements/policy updates relating to the areas/risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models. Model governance Support the Head of Analytics Assurance in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models. Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards. Qualifications

5 – 10 years of experience working in the technology space and preferably 2 – 4 years of data science/data analytics experience. 1 – 2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning). Prior experience working on large-scale analytics projects. Experience in or familiarity with analytics related to AML/AFC/compliance risks. Ability to clearly communicate technical results in an easy-to-understand manner and tailoring them to different audiences. Ability to handle multiple priorities and work under pressure. Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or equivalent. R and Python for data science, with strong practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn). Comfortable working with structured and unstructured data and distributed databases. Familiar with natural language processing and network link analysis. Familiar with best practice development standards. Additional Requirements

Develop, Engage, Execute, Strategise Be a Part of the UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Job Details

Seniority level: Executive Employment type: Full-time Job function: Business Development and Sales Industries: Banking Apply now and make a Difference

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VP, Data Analytics & Insights Specialist VP, Data Analytics & Insights Specialist

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

The incumbent is responsible for building analytical capabilities in response to external and internal requests; adopting in-house AFC analytical models into countries context. These includes driving and providing guidance to country AFC analytics team when engaging with the business, Group Compliance/AFC, regulators etc. to understand the needs and requirements and subsequently reflect these requirements in the AFC analytics models together with Group Modelling team. This role also needs to ensure that the design and data architecture for the countries supported can support AFC analytics needs so that we can have a seamless deployment of AFC analytical models into production environment and compatibilities of country specific systems against the model to be deployed.

1) Support model maintenance

• Liaise with countries Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models' enhancement/ maintenance.
• Together with country data analytics team and centralized modelling team perform re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.

2) New model development

• Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline.
• Develop model narratives (e.g. purpose, logic, parameters, data requirements, output surfacing/structuring) in collaboration with the business and other relevant stakeholders in respective countries.
• Work closely with Group modelling Data Scientist(s) and countries Business Analyst, and to support regional AFC model development for various range of models (rule-based, supervised/unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed.

3) Special projects

• Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g. regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models.
• Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML.
• Communicate with countries Business Analyst to understand new regulatory requirements/policy updates relating to the areas/risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models.

4) Model governance

• Support the Head of Analytics Assurance in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models.
• Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.

Job Requirements

• 5 - 10 years of experience working in the technology space and preferably 2 - 4 years of data science/data analytics experience.
• 1 - 2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning).
• Prior experience working on large-scale analytics projects.
• Experience in or familiarity with analytics related to AML/AFC/compliance risks.
• Ability to clearly communicate technical results in an easy-to-understand manner and tailoring them to different audiences.
• Ability to handle multiple priorities and work under pressure.
• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or equivalent .
• R and Python for data science, with strong practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn).
• Comfortable working with structured and unstructured data and distributed databases.
• Familiar with natural language processing and network link analysis.
• Familiar with best practice development standards.

Additional Requirements

Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territori.

Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today.

#J-18808-Ljbffr

VP, Data Analytics & Insights Specialist

VP, Data Analytics & Insights Specialist

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

The incumbent is responsible for building analytical capabilities in response to external and internal requests; adopting in-house AFC analytical models into countries context. These includes driving and providing guidance to country AFC analytics team when engaging with the business, Group Compliance/AFC, regulators etc. to understand the needs and requirements and subsequently reflect these requirements in the AFC analytics models together with Group Modelling team. This role also needs to ensure that the design and data architecture for the countries supported can support AFC analytics needs so that we can have a seamless deployment of AFC analytical models into production environment and compatibilities of country specific systems against the model to be deployed.

1) Support model maintenance

Liaise with countries Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models' enhancement/ maintenance. Together with country data analytics team and centralized modelling team perform re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed. 2) New model development

Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline. Develop model narratives (e.g. purpose, logic, parameters, data requirements, output surfacing/structuring) in collaboration with the business and other relevant stakeholders in respective countries. Work closely with Group modelling Data Scientist(s) and countries Business Analyst, and to support regional AFC model development for various range of models (rule-based, supervised/unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed. 3) Special projects

Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g. regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models. Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML. Communicate with countries Business Analyst to understand new regulatory requirements/policy updates relating to the areas/risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models. 4) Model governance

Support the Head of Analytics Assurance in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models. Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards. Job Requirements

5 - 10 years of experience working in the technology space and preferably 2 - 4 years of data science/data analytics experience. 1 - 2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning). Prior experience working on large-scale analytics projects. Experience in or familiarity with analytics related to AML/AFC/compliance risks. Ability to clearly communicate technical results in an easy-to-understand manner and tailoring them to different audiences. Ability to handle multiple priorities and work under pressure. Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics or equivalent . R and Python for data science, with strong practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn). Comfortable working with structured and unstructured data and distributed databases. Familiar with natural language processing and network link analysis. Familiar with best practice development standards. Additional Requirements

Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territori. Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today.

#J-18808-Ljbffr

Brand Advisor (Data Analytics & Consumer Insights)

At Petron, we are not just in the business of oil, we are also in the business of fueling lives.

Petron Malaysia is an emerging and rapidly evolving Asian oil company. It is part of Petron Corporation, which is the leading oil company in the Philippines. Our integrated refining, distribution, and retailing of world-class petroleum products help meet the country’s growing energy needs and contribute to a more progressive nation. We are dedicated and passionate about our vision - to be the leading provider of total customer solutions in the oil sector and its allied businesses.

We are seeking dynamic & innovative individuals who have the drive to make a difference & are fueled to succeed!

Job Purpose

The Brand Advisor - Data Analytics & Consumer Insights position oversees the brand intelligence function powered by data. This involves creating the analytics roadmap, coordinating integrated insights across various channels, and offering actionable recommendations to enhance marketing strategy, customer experience, and campaign optimization. The role acts as a strategic engine for the Marketing and CX teams, converting intricate data into valuable, future-focused decisions.

Key Responsibilities

• Guide and advance the organization-wide data analytics roadmap, pinpointing system and process improvements to enhance insight delivery and operational efficiency.
• Conduct funnel conversion and behavioral analysis to identify friction points and potential enhancements across digital and offline touchpoints.
• Combine internal and external data sources to derive insights about the brand, market, and consumers, including brand health assessments, customer segmentation, and performance evaluations.
• Create and manage dashboards and reporting tools that illustrate key findings and trends for senior management and cross-functional stakeholders.
• Evaluate campaign performance alongside media outcomes and customer behavior to gauge ROI and guide future initiatives.
• Perform in-depth ad-hoc analyses to address strategic business inquiries and provide quick insights as required.
• Oversee the annual market research plan, ensuring efficient budget use to promote brand growth and enhance customer understanding.
• Facilitate insight-driven discussions with both internal stakeholders and external partners to support customer experience initiatives and brand innovation.
• Stay current with new tools and best practices in analytics, media, digital behavior, and consumer research to maintain the team's competitive edge.
• Work closely with the Marketing Data Analyst and Loyalty team to ensure alignment in insights, data strategies, and automation prospects.

Required Competencies & Skills

• Solid knowledge of statistical analysis, customer segmentation, and experimental design.
• Proficiency in data visualization and business intelligence tools (e.g., Power BI, Tableau, Looker).
• Strong capability in marketing research, agency and budget management, and performance evaluation.
• Proven experience in consumer insight generation across qualitative and quantitative methods.
• Deep understanding of media measurement, campaign KPIs, and multichannel attribution.
• Excellent stakeholder management and communication skills with the ability to translate data into clear business narratives.
• Highly analytical, strategic thinker, and passionate about consumer behavior and market trends.

Education & Experience

• Bachelor's or Master's degree in Marketing, Statistics, Data Science, Economics, or a related field.
• 3-5 years of experience in data analytics, brand insights, and consumer research, preferably in marketing or retail.
• Prior experience managing complex market research projects and utilizing integrated data platforms.

Thank you for your application! We’re thrilled that you’d like to join Petron, and we appreciate your interest in the position.

Please note that due to the volume of applications, only shortlisted candidates will be contacted.

Seniority level

Executive

Employment type

Full-time

Job function

Marketing and Sales

Industries

Internet Publishing

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Brand Advisor (Data Analytics & Consumer Insights)

At Petron, we are not just in the business of oil, we are also in the business of fueling lives.

Petron Malaysia is an emerging and rapidly evolving Asian oil company. It is part of Petron Corporation, which is the leading oil company in the Philippines. Our integrated refining, distribution, and retailing of world-class petroleum products help meet the country’s growing energy needs and contribute to a more progressive nation. We are dedicated and passionate about our vision - to be the leading provider of total customer solutions in the oil sector and its allied businesses.

We are seeking dynamic & innovative individuals who have the drive to make a difference & are fueled to succeed!

Job Purpose

The Brand Advisor - Data Analytics & Consumer Insights position oversees the brand intelligence function powered by data. This involves creating the analytics roadmap, coordinating integrated insights across various channels, and offering actionable recommendations to enhance marketing strategy, customer experience, and campaign optimization. The role acts as a strategic engine for the Marketing and CX teams, converting intricate data into valuable, future-focused decisions.

Key Responsibilities

• Guide and advance the organization-wide data analytics roadmap, pinpointing system and process improvements to enhance insight delivery and operational efficiency.
• Conduct funnel conversion and behavioral analysis to identify friction points and potential enhancements across digital and offline touchpoints.
• Combine internal and external data sources to derive insights about the brand, market, and consumers, including brand health assessments, customer segmentation, and performance evaluations.
• Create and manage dashboards and reporting tools that illustrate key findings and trends for senior management and cross-functional stakeholders.
• Evaluate campaign performance alongside media outcomes and customer behavior to gauge ROI and guide future initiatives.
• Perform in-depth ad-hoc analyses to address strategic business inquiries and provide quick insights as required.
• Oversee the annual market research plan, ensuring efficient budget use to promote brand growth and enhance customer understanding.
• Facilitate insight-driven discussions with both internal stakeholders and external partners to support customer experience initiatives and brand innovation.
• Stay current with new tools and best practices in analytics, media, digital behavior, and consumer research to maintain the team's competitive edge.
• Work closely with the Marketing Data Analyst and Loyalty team to ensure alignment in insights, data strategies, and automation prospects.

Required Competencies & Skills

• Solid knowledge of statistical analysis, customer segmentation, and experimental design.
• Proficiency in data visualization and business intelligence tools (e.g., Power BI, Tableau, Looker).
• Strong capability in marketing research, agency and budget management, and performance evaluation.
• Proven experience in consumer insight generation across qualitative and quantitative methods.
• Deep understanding of media measurement, campaign KPIs, and multichannel attribution.
• Excellent stakeholder management and communication skills with the ability to translate data into clear business narratives.
• Highly analytical, strategic thinker, and passionate about consumer behavior and market trends.

Education & Experience

• Bachelor's or Master's degree in Marketing, Statistics, Data Science, Economics, or a related field.
• 3-5 years of experience in data analytics, brand insights, and consumer research, preferably in marketing or retail.
• Prior experience managing complex market research projects and utilizing integrated data platforms.

Thank you for your application! We’re thrilled that you’d like to join Petron, and we appreciate your interest in the position.

Please note that due to the volume of applications, only shortlisted candidates will be contacted.

Seniority level

Executive

Employment type

Full-time

Job function

Marketing and Sales

Industries

Internet Publishing

#J-18808-Ljbffr

Brand Advisor (Data Analytics & Consumer Insights)

At Petron, we are not just in the business of oil, we are also in the business of fueling lives. Petron Malaysia is an emerging and rapidly evolving Asian oil company. It is part of Petron Corporation, which is the leading oil company in the Philippines. Our integrated refining, distribution, and retailing of world-class petroleum products help meet the country’s growing energy needs and contribute to a more progressive nation. We are dedicated and passionate about our vision - to be the leading provider of total customer solutions in the oil sector and its allied businesses. We are seeking dynamic & innovative individuals who have the drive to make a difference & are fueled to succeed! Job Purpose

The Brand Advisor - Data Analytics & Consumer Insights position oversees the brand intelligence function powered by data. This involves creating the analytics roadmap, coordinating integrated insights across various channels, and offering actionable recommendations to enhance marketing strategy, customer experience, and campaign optimization. The role acts as a strategic engine for the Marketing and CX teams, converting intricate data into valuable, future-focused decisions. Key Responsibilities

Guide and advance the organization-wide data analytics roadmap, pinpointing system and process improvements to enhance insight delivery and operational efficiency. Conduct funnel conversion and behavioral analysis to identify friction points and potential enhancements across digital and offline touchpoints. Combine internal and external data sources to derive insights about the brand, market, and consumers, including brand health assessments, customer segmentation, and performance evaluations. Create and manage dashboards and reporting tools that illustrate key findings and trends for senior management and cross-functional stakeholders. Evaluate campaign performance alongside media outcomes and customer behavior to gauge ROI and guide future initiatives. Perform in-depth ad-hoc analyses to address strategic business inquiries and provide quick insights as required. Oversee the annual market research plan, ensuring efficient budget use to promote brand growth and enhance customer understanding. Facilitate insight-driven discussions with both internal stakeholders and external partners to support customer experience initiatives and brand innovation. Stay current with new tools and best practices in analytics, media, digital behavior, and consumer research to maintain the team's competitive edge. Work closely with the Marketing Data Analyst and Loyalty team to ensure alignment in insights, data strategies, and automation prospects. Required Competencies & Skills

Solid knowledge of statistical analysis, customer segmentation, and experimental design. Proficiency in data visualization and business intelligence tools (e.g., Power BI, Tableau, Looker). Strong capability in marketing research, agency and budget management, and performance evaluation. Proven experience in consumer insight generation across qualitative and quantitative methods. Deep understanding of media measurement, campaign KPIs, and multichannel attribution. Excellent stakeholder management and communication skills with the ability to translate data into clear business narratives. Highly analytical, strategic thinker, and passionate about consumer behavior and market trends. Education & Experience

Bachelor's or Master's degree in Marketing, Statistics, Data Science, Economics, or a related field. 3-5 years of experience in data analytics, brand insights, and consumer research, preferably in marketing or retail. Prior experience managing complex market research projects and utilizing integrated data platforms. Thank you for your application! We’re thrilled that you’d like to join Petron, and we appreciate your interest in the position. Please note that due to the volume of applications, only shortlisted candidates will be contacted. Seniority level

Executive Employment type

Full-time Job function

Marketing and Sales Industries

Internet Publishing

#J-18808-Ljbffr

Brand Advisor (Data Analytics & Consumer Insights)

At Petron, we are not just in the business of oil, we are also in the business of fueling lives. Petron Malaysia is an emerging and rapidly evolving Asian oil company. It is part of Petron Corporation, which is the leading oil company in the Philippines. Our integrated refining, distribution, and retailing of world-class petroleum products help meet the country’s growing energy needs and contribute to a more progressive nation. We are dedicated and passionate about our vision - to be the leading provider of total customer solutions in the oil sector and its allied businesses. We are seeking dynamic & innovative individuals who have the drive to make a difference & are fueled to succeed! Job Purpose

The Brand Advisor - Data Analytics & Consumer Insights position oversees the brand intelligence function powered by data. This involves creating the analytics roadmap, coordinating integrated insights across various channels, and offering actionable recommendations to enhance marketing strategy, customer experience, and campaign optimization. The role acts as a strategic engine for the Marketing and CX teams, converting intricate data into valuable, future-focused decisions. Key Responsibilities

Guide and advance the organization-wide data analytics roadmap, pinpointing system and process improvements to enhance insight delivery and operational efficiency. Conduct funnel conversion and behavioral analysis to identify friction points and potential enhancements across digital and offline touchpoints. Combine internal and external data sources to derive insights about the brand, market, and consumers, including brand health assessments, customer segmentation, and performance evaluations. Create and manage dashboards and reporting tools that illustrate key findings and trends for senior management and cross-functional stakeholders. Evaluate campaign performance alongside media outcomes and customer behavior to gauge ROI and guide future initiatives. Perform in-depth ad-hoc analyses to address strategic business inquiries and provide quick insights as required. Oversee the annual market research plan, ensuring efficient budget use to promote brand growth and enhance customer understanding. Facilitate insight-driven discussions with both internal stakeholders and external partners to support customer experience initiatives and brand innovation. Stay current with new tools and best practices in analytics, media, digital behavior, and consumer research to maintain the team's competitive edge. Work closely with the Marketing Data Analyst and Loyalty team to ensure alignment in insights, data strategies, and automation prospects. Required Competencies & Skills

Solid knowledge of statistical analysis, customer segmentation, and experimental design. Proficiency in data visualization and business intelligence tools (e.g., Power BI, Tableau, Looker). Strong capability in marketing research, agency and budget management, and performance evaluation. Proven experience in consumer insight generation across qualitative and quantitative methods. Deep understanding of media measurement, campaign KPIs, and multichannel attribution. Excellent stakeholder management and communication skills with the ability to translate data into clear business narratives. Highly analytical, strategic thinker, and passionate about consumer behavior and market trends. Education & Experience

Bachelor's or Master's degree in Marketing, Statistics, Data Science, Economics, or a related field. 3-5 years of experience in data analytics, brand insights, and consumer research, preferably in marketing or retail. Prior experience managing complex market research projects and utilizing integrated data platforms. Thank you for your application! We’re thrilled that you’d like to join Petron, and we appreciate your interest in the position. Please note that due to the volume of applications, only shortlisted candidates will be contacted. Seniority level

Executive Employment type

Full-time Job function

Marketing and Sales Industries

Internet Publishing

#J-18808-Ljbffr