3,337 Senior Analyst jobs in Malaysia
Business Data Analyst
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Imagine your career taking you to the depths of innovation and the heights of impact. Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond.
About Us:
SBM Offshore is the world’s deepwater ocean-infrastructure expert. Our work is already resulting in cleaner, more efficient energy production. True. Blue. Transition. is our promise to enable that into the future while at the same time using our expertise to support new and existing markets in the blue economy. It starts with Advancing our Core: continuing to advance the decarbonization of traditional energy production. While Pioneering More: helping to enable the energy transition and using our unique capabilities in ocean infrastructure to support more industries to grow sustainably. Sharing our experience for a better blue tomorrow.
- As a Business Data Analyst, you analyze and interpret complex data to provide actionable insights that support business decision-making and strategy development. Work closely with stakeholders to identify data needs, create reports, and develop data models that drive business performance and optimize operational efficiency. Ensure data accuracy and contribute to the continuous improvement of data processes and tools.
- Analyze and interpret complex data sets to provide actionable insights that support business decision-making and strategy development.
- Collaborate with cross-functional teams to identify business needs and data requirements, ensuring alignment with organizational goals and objectives.
- Develop and maintain data models, dashboards, and reports, providing clear and concise visualizations that communicate key findings to stakeholders.
- Ensure data accuracy and integrity by performing data validation, cleansing, and quality checks, maintaining high standards of data governance.
- Extract, transform, and load (ETL) data from various sources into analytical tools, ensuring data is prepared and structured for analysis.
- Identify trends, patterns, and anomalies within data sets, providing insights that drive business process improvements and operational efficiency.
- Support the development and implementation of data-driven strategies, working closely with business units to optimize performance and achieve key objectives.
- Present findings and recommendations to senior management and stakeholders, translating complex data insights into understandable and actionable business terms.
- Stay current with industry trends and emerging technologies in data analytics, integrating new tools and methodologies to enhance analytical capabilities.
- Provide training and support to team members and other departments on data analysis techniques and the use of analytical tools, fostering a data-driven culture within the organization.
- Bachelor's degree in data science, business analytics, computer science, statistics, or a related field is required. Certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are highly recommended. Proficiency in data analysis, statistical tools, and business intelligence (BI) platforms is essential. A master’s degree in a related field is preferred but not mandatory.
- Minimum of 5 years of experience in data analysis, business intelligence, or a related field, with demonstrated expertise in analyzing business data to support decision-making processes.
- Proven experience in collecting, cleaning, and analyzing large datasets to identify trends, patterns, and insights that drive business performance.
- Strong technical background with hands-on experience in using data analysis tools and languages such as SQL, Python, R, or Excel, and proficiency in business intelligence platforms like Power BI, Tableau, or Qlik.
- Demonstrated ability to develop and implement data models, reports, and dashboards that provide actionable insights to stakeholders across the organization.
- Experience in working closely with business units to understand their data needs, translating business requirements into data-driven solutions that support strategic goals.
- Proficiency in data visualization techniques, with the ability to present complex data in a clear and compelling manner to both technical and non-technical audiences.
- Knowledge of data governance, data quality management, and best practices for ensuring data integrity and accuracy across systems.
- Strong problem-solving and analytical skills, with the ability to identify data-related issues and recommend effective solutions to improve business processes.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including IT, finance, and operations, to support data-driven initiatives.
- Relevant certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are preferred.
Governance, Risk and Control
Analytics and reporting
IT Tools and application
Cost and budget control
Business Partnering
Digital savvy
Business Acumen
Contract Management
Management of change application
GENERAL INFORMATION
SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group (“the Company”). For further information, please visit our website at The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.
SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer.SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Business Data Analyst
Posted 5 days ago
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Job Description
CoinMarketCap Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Join or sign in to find your next jobJoin to apply for the Business Data Analyst role at CoinMarketCap
Job SummaryWe are seeking a highly analytical and business-minded Business Data Analyst with 2–3 years of experience, preferably with a background in market research and operational analysis. This role involves partnering with cross-functional teams to convert complex data into actionable insights that support decision-making, operational efficiency, and strategic growth.
Key Responsibilities- Analyze internal and external data to identify trends, assess performance, and support business strategy;
- Conduct in-depth market research and competitive analysis to inform product and growth decisions;
- Translate data insights into clear, actionable recommendations for product, marketing, and operations teams;
- Build and maintain dashboards, reports, and performance metrics to monitor KPIs and initiatives;
- Collaborate with teams to define data requirements and support business planning;
- Participate in forecasting, scenario modeling, and business case development;
- Provide ad hoc data insights for strategic and operational projects;
- Bachelor’s degree in Business, Economics, Data Science, Statistics, or related field;
- 2–3 years of experience in data analytics or business analysis, with market research exposure;
- Proficiency in SQL and analytical tools (e.g., Python, R, Excel);
- Experience with BI platforms such as Tableau, Power BI, or Looker;
- Strong business acumen with the ability to connect data findings to decisions;
- Excellent communication skills to influence stakeholders;
- Experience in crypto exchange, fintech, or fast-growing tech companies;
- Knowledge of user behavior data, growth metrics, and financial KPIs;
- Familiarity with web or mobile analytics platforms like Google Analytics or Mixpanel;
- Seniority Level: Not Applicable
- Employment Type: Full-time
- Job Function: Information Technology
- Industry: Information Services
Referrals can double your chances of interview success at CoinMarketCap. Get notified about new Business Data Analyst opportunities in Kuala Lumpur, Malaysia.
#J-18808-LjbffrBusiness Data Analyst
Posted 5 days ago
Job Viewed
Job Description
Purpose
- As a Business Data Analyst, you analyze and interpret complex data to provide actionable insights that support business decision-making and strategy development. Work closely with stakeholders to identify data needs, create reports, and develop data models that drive business performance and optimize operational efficiency. Ensure data accuracy and contribute to the continuous improvement of data processes and tools.
Responsibilities
- Analyze and interpret complex data sets to provide actionable insights that support business decision-making and strategy development.
- Collaborate with cross-functional teams to identify business needs and data requirements, ensuring alignment with organizational goals and objectives.
- Develop and maintain data models, dashboards, and reports, providing clear and concise visualizations that communicate key findings to stakeholders.
- Ensure data accuracy and integrity by performing data validation, cleansing, and quality checks, maintaining high standards of data governance.
- Extract, transform, and load (ETL) data from various sources into analytical tools, ensuring data is prepared and structured for analysis.
- Identify trends, patterns, and anomalies within data sets, providing insights that drive business process improvements and operational efficiency.
- Support the development and implementation of data-driven strategies, working closely with business units to optimize performance and achieve key objectives.
- Present findings and recommendations to senior management and stakeholders, translating complex data insights into understandable and actionable business terms.
- Stay current with industry trends and emerging technologies in data analytics, integrating new tools and methodologies to enhance analytical capabilities.
- Provide training and support to team members and other departments on data analysis techniques and the use of analytical tools, fostering a data-driven culture within the organization.
Education
- Bachelor's degree in data science, business analytics, computer science, statistics, or a related field is required. Certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are highly recommended. Proficiency in data analysis, statistical tools, and business intelligence (BI) platforms is essential. A master’s degree in a related field is but not mandatory.
Experience
- Minimum of 5 years of experience in data analysis, business intelligence, or a related field, with demonstrated expertise in analyzing business data to support decision-making processes.
- Proven experience in collecting, cleaning, and analyzing large datasets to identify trends, patterns, and insights that drive business performance.
- Strong technical background with hands-on experience in using data analysis tools and such as SQL, Python, R, or Excel, and proficiency in business intelligence platforms like Power BI, Tableau, or Qlik.
- Demonstrated ability to develop and implement data models, reports, and dashboards that provide actionable insights to stakeholders across the organization.
- Experience in working closely with business units to understand their data needs, translating business requirements into data-driven solutions that support strategic goals.
- Proficiency in data visualization techniques, with the ability to present complex data in a clear and compelling manner to both technical and non-technical audiences.
- Knowledge of data governance, data quality management, and best practices for ensuring data integrity and accuracy across systems.
- Strong problem-solving and analytical skills, with the ability to identify data-related issues and recommend effective solutions to improve business processes.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including IT, finance, and operations, to support data-driven initiatives.
- Relevant certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are .
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#J-18808-LjbffrData Analyst
Posted today
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Job Description
Company Description About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Job Description
Get to Know the Team
The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!
Get to Know the Role
Reporting to the Senior Analytics Manager in the Integrity team (Trust, Identity & Safety), you will take part in identifying, assessing, and mitigating risks through advanced data analysis techniques. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.
This role is based onsite in our Petaling Jaya office.
The Critical Tasks You Will Perform
- You will analyze massive passenger, driver, and merchant data to develop insights on user behaviors or risks
- You will maintain and monitor key product and business metrics. Create/enhance dashboards to provide a granular, comprehensive view of these metrics and monitor trends
- You will develop and communicate insights and recommended actions to stakeholders to reduce risk by contributing towards rules, machine learning models, and other detection systems
- You will collaborate with cross-functional teams to implement risk management strategies.
- You will leverage the latest Gen AI technologies to aid automation and self serve of metric reporting and RCA
- You will run A/B experiments to support the launch of product features, risk rules or models.
- You will conduct product deep dives to provide insights on funnels, conversion rate and other metrics we are trying to influence
- You will beta test risk platform tools created for scalability and collaborate with data science and engineering teams to improve the usability and adoption amongst analysts
Qualifications
What Essential Skills You Will Need
- A degree in Analytics, Statistics, Economics, Engineering, Information Technology, Data Sciences, Math or related fields.
- At least 2 years in data/product analytics roles ; experience working with large datasets and complex data structures and experimentation
- Proficient in data analysis tools such as SQL, Python, and R
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Experience with Gen AI technologies for solving business problems and enabling more analytics automation/self serve
- Passionate about solving problems – has a need for investigation and data exploration
- Good to have : Knowledge in statistical modeling and machine learning techniques
- Good to have : Understanding of the risk domain and lands
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Data Analyst
Posted today
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**Only open for local Malaysian
Responsibilities
- To perform BOM screening for NPI and existing products.
- To perform materials compliance data collection & validation.
- To develop web or applications, as well as to support the upgrade or maintenance.
- To support the SharePoint page maintenance related task.
- To create Dashboard and support for the upgrade or maintenance - Familiar with Power BI, Spotfire, Microsoft Power Apps or etc.
Qualifications and Requirements:
- Bachelor’s Degree in Materials Engineering, Supplier Engineering, or any equivalent qualification in Data analysis
- Preferably candidate with at least 1-2 years experience
- Fresh graduates can be consider as well if fulfilling the below 'bold text' requirements
- The ability to read and understand Bills of Materials (BoMs)
- Proficiency in Excel (e.g using formulas, manipulating multiple worksheets, formatting data, creating graphs, etc.)
- Experience with Microsoft Power Apps , Power Automate or SharePoint page creation and maintenance
- Skills in Power BI or similar tools for dashboard creation and ability to support and maintain dashboards for compliance tracking
- The ability to meet schedules and deadlines
- A strong focus on ensuring data quality
Data Analyst
Posted 1 day ago
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Job Description
The Data Investigations Analyst role specializes in investigation and resolution of data quality exceptions. In this role, the analyst is responsible for analysing discrepancies, identifying root causes of data issues, and working cross-functionally to ensure the integrity and accuracy of critical data elements. This role plays a key part in maintaining high data quality standards by monitoring exception reports, performing in-depth data investigations, and bringing corrective and preventive actions to closure. This position is ideal for someone who thrives on problem-solving, working with complex data sets, and is passionate about improving data reliability across the bank’s systems.
Key Responsibilities
Business *
- Scoping of data quality issues identified through various channels including automated periodic profiling reports, self-identified issues and thematic issues highlighted by stakeholders.
- Maintain Investigation backlog, plan and prioritise for action based on established prioritisation framework.
- Undertake investigation for prioritised issues allocated to team.
- Provide periodic updates on investigation backlog and generate data quality metrics.
- Proactive identification of data quality issues arising across client data domains, and risks emanating from them.
- Ensure alignment of assigned work items and activities to the strategic and tactical direction of the Data team.
- Identify opportunities for streamlining investigation activities as well as other components of the exception management process with the objective to improve coverage, efficiency, and accuracy.
- Identify external investigation blockers and propose effective solutions.
- Proactive identification of risks and concerns, including escalation to all relevant stakeholders.
- Conduct root cause analysis of exceptions based on understanding of Group policy requirements, process, procedures, and current system functionality.
- Identify high-level corrective options across processes and systems that will resolve/ prevent occurrence of the data quality issues.
- Identify cases requiring data remediation or data enhancement and handover to subsequent teams for further action.
- Track issues for progress and ensure that stakeholders are made aware of current data quality exceptions and their impact.
- Communicate with relevant stakeholders to obtain consumer’s impact and translate root cause analysis findings to ensure shared understanding and accountability.
- Record each investigation’s timeline, findings, and resolutions in a central repository to accelerate future triage
- Handle ad-hoc or bespoke data quality investigations or reports as requested by business units, ensuring timely and accurate resolution.
- Prepare periodic metrics and status reports by compiling data quality KPIs, exception trends, and resolution status to stakeholders on a weekly basis, highlighting key risks and progress.
- Gather and define requirements from business analysis by translating insights from investigations into clear business and technical requirements to support targeted data quality solutions and process improvements.
- Support testing and validation for any reporting/system changes by participating in user acceptance testing (UAT)
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together We
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Data Analyst
Posted 1 day ago
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Job Description
The Data Analyst for Services Operations plays a crucial role in evaluating service performance by analysing operational data. You will collaborate with cross-functional teams to develop data-driven strategies and reports that support informed decision-making and process optimization. Additionally, you will be responsible for identifying risk areas and recommending preventive measures to ensure seamless service operations.
Key Responsibilities :
- Collect and organize operational data to assess service performance.
- Analyse data to identify trends, patterns, and improvement opportunities within service operations.
- Develop reports and dashboards to present data analysis findings clearly and concisely.
- Collaborate with operations and customer service teams to devise data-driven strategies for enhancing service efficiency and quality.
- Identify potential risk areas and propose preventive measures to ensure service operations continuity.
- Participate in continuous improvement initiatives and process optimization based on data analysis insights.
Requirements :
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 1-2 years of experience in a data analysis role or a related field, preferably with Services Operation experience.
- Proficiency in data analysis tools like Excel, SQL, Tableau, Power BI, etc.
- Strong analytical skills to translate complex data into actionable insights.
- Excellent communication skills and the ability to work effectively within a team.
- Proficiency in programming languages: Knowledge of SQL, Python, R, or other relevant languages for data analysis.
- Ability to work independently and proactively in a fast-paced, customer focused environment.
- Strong problem-solving mindset, attention to detail and a passion for customer success.
- Comfortable working across time zones and in a multicultural environment.
- Fluent in English (additional languages are a plus).
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Data Analyst
Posted 1 day ago
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We at Pine Labs are looking for those who share our core belief - “Every Day is Game day”. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.
Fave by Pine Labs is a leading fintech platform that empowers merchants and consumers through innovative payment solutions. We are committed to driving digital transformation in the F&B and retail sectors by providing seamless payment experiences through FavePay QR and Pine Labs POS terminals.
Role Summary:
We are seeking a detail-oriented and analytical Data Analyst to join our team - open to both full-time professionals and interns who are passionate about data. This role will be instrumental in unlocking insights from the rich data ecosystems of Fave and Pine Labs, stitching together data across platforms such as Databricks, Google Analytics, Google Ads, Meta, Appsflyer, and Clevertap. The ideal candidate will be passionate about data, skilled in visualization, and comfortable working with cross-functional stakeholders.
Responsibilities we entrust you with:
- Data Integration & Analysis: Extract, clean, and analyze data from various sources including Databricks, Google Analytics, Google Ads, Meta, Appsflyer, and Clevertap.
- Reporting & Visualization: Build and maintain dashboards and reports to communicate insights clearly and effectively.
- Cross-functional Collaboration: Work closely with teams across Sales, Marketing, Operations, and Finance to understand business needs and deliver data-driven solutions.
- Performance Monitoring: Track key business and product metrics, identify trends, and flag anomalies to support strategic initiatives.
- Campaign & Funnel Analysis: Support marketing and sales teams with campaign performance analysis and customer journey tracking.
- Data Storytelling: Translate complex data into compelling narratives and visualizations for both technical and non-technical audiences.
What matters in the role:
- 2+ years of experience in a data analyst or similar role
- Strong skills in Excel and Google Sheets for data manipulation and reporting.
- Proficiency in SQL and experience with Databricks or similar platforms.
- Familiarity with Google Analytics, Google Ads, Meta Ads Manager, Appsflyer, and Clevertap.
- Strong communication and interpersonal skills, with the ability to present insights clearly.
What we Value in Our people
- You are the CEO of what you do: You show ownership and make things happen
- You sign your work like an artist: You seek to learn and take pride in the work you do
Data Analyst
Posted 1 day ago
Job Viewed
Job Description
The Data Analyst for Services Operations plays a crucial role in evaluating service performance by analysing operational data. You will collaborate with cross-functional teams to develop data-driven strategies and reports that support informed decision-making and process optimization. Additionally, you will be responsible for identifying risk areas and recommending preventive measures to ensure seamless service operations.
Key Responsibilities
- Collect and organize operational data to assess service performance.
- Analyse data to identify trends, patterns, and improvement opportunities within service operations.
- Develop reports and dashboards to present data analysis findings clearly and concisely.
- Collaborate with operations and customer service teams to devise data-driven strategies for enhancing service efficiency and quality.
- Identify potential risk areas and propose preventive measures to ensure service operations continuity.
- Participate in continuous improvement initiatives and process optimization based on data analysis insights.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 1-2 years of experience in a data analysis role or a related field, preferably with Services Operation experience.
- Proficiency in data analysis tools like Excel, SQL, Tableau, Power BI, etc.
- Strong analytical skills to translate complex data into actionable insights.
- Excellent communication skills and the ability to work effectively within a team.
- Proficiency in programming languages: Knowledge of SQL, Python, R, or other relevant languages for data analysis.
- Ability to work independently and proactively in a fast-paced, customer focused environment.
- Strong problem-solving mindset, attention to detail and a passion for customer success.
- Comfortable working across time zones and in a multicultural environment.
- Fluent in English (additional languages are a plus).
Data Analyst
Posted 1 day ago
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Job Description
MRANTI Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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MRANTI Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Join to apply for the Data Analyst role at MRANTI
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Job Purpose
To drive data-driven decision-making across the organization by transforming raw data from various sources into actionable business insights. This role serves as a critical link between the technical data infrastructure and key business stakeholders, including Mranti Divisions and Program Owners.
Job Purpose
To drive data-driven decision-making across the organization by transforming raw data from various sources into actionable business insights. This role serves as a critical link between the technical data infrastructure and key business stakeholders, including Mranti Divisions and Program Owners.
The position is responsible for the end-to-end process of data analysis, including data collection, quality assurance, modelling, and the development and management of the reporting environment. Ultimately, the role will empower the organisation to monitor performance, identify opportunities for optimisation, and make informed strategic decisions by providing clear, accurate, and insightful reports and analyses.
Key Responsibilities
- Data collection and analysis: Collect, process, and analyse data from various sources to identify trends, insights, and opportunities for improvement. - Communicate with a Data Engineer to get the data source.
- Data quality assurance: Ensure data accuracy, completeness, and consistency by identifying and resolving data quality issues.
- Business analysis: Work with stakeholders ( Mranti Divisions/Program owner) to understand their business needs and requirements, and use data to provide insights and recommendations for business decisions.
- Data modelling: Develop and maintain data models that support business needs and ensure data is structured in a way that is easy to analyse.
- Performance monitoring and optimisation: Monitor key performance metrics and identify opportunities to optimise business processes and improve performance- Monitoring and optimisation based on Data Visualisation feedback.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Bachelor’s degree from an accredited university or college in computer science or any related field.
- 1- 2 years of working experience as a data analyst or in a related fi eld.
- Data Analysis and Interpretation- Analysing data to identify trends, patterns, and insights that can inform business decisions.
- Proficiency in SQL, Google sheet, Python, and potentially other tools like Google Collab or cloud platforms (e.g., AWS, Azure, Google Cloud).
- Possesses the ability to work with various stakeholders to assess potential data reporting and risks.
- Ability to analyse existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into non-technical, lay terms.
- Acquires high-level experience in methodologies and processes for managing large-scale databases.
- Expertise in data wrangling tools (Python/Pandas, SQL)
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries Research Services
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