15 Data Analytics jobs in Kuching

Overview Location: Remote

Employment Type: Full-Time

About Us: We are a fast-growing continuous education company with multiple brands in the e-learning and certification space. Our mission is to provide high-quality, accessible courses for professionals across industries. We’re looking for a

Data Analyst Lead

who can dig into our marketing and traffic data, uncover insights, and deliver clear, actionable reports to leadership.

What You’ll Do

Collect and consolidate marketing and traffic data across Google Ads, Microsoft Ads, SEO, social media, and web analytics platforms

Analyze campaign performance, ROI, conversion funnels, and channel effectiveness to identify growth opportunities

Build dashboards and reports (weekly, monthly, quarterly) that make complex data easy for leadership to understand

Translate data into clear recommendations that influence marketing spend, campaign strategy, and business decisions

Monitor KPIs such as CPC, CTR, ROAS, SEO rankings, conversion rates, and customer acquisition cost

Collaborate with the Marketing, Sales, and Finance teams to align insights with company goals

Proactively highlight risks, inefficiencies, and new opportunities for optimization

What We’re Looking For

5+ years of experience in marketing analytics, business intelligence, or related role

Strong knowledge of digital marketing metrics and performance measurement

Proficiency in analytics and visualization tools (Google Analytics / GA4, Looker Studio, Tableau, Power BI, Excel/Google Sheets, SQL)

Experience working with paid search, SEO, social, and affiliate marketing data

Excellent communication skills — ability to turn data into clear stories for executives

Detail-oriented with strong problem-solving skills

Nice to Have

Experience in the e-learning, SaaS, or B2C digital marketing space

Familiarity with marketing automation and CRM platforms (HubSpot, Salesforce, etc.)

Knowledge of statistical modeling or predictive analytics

Why Join Us?

Opportunity to influence marketing strategy and executive decision-making

Work with a leadership team that values data-driven insights

Competitive salary and performance-based bonuses

Flexible remote work environment

Growth opportunities in a company expanding through innovation and acquisitions

If you’re passionate about using data to drive smarter marketing decisions and want to make an impact in a growing education company, we’d love to hear from you!

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Europe, Product Manager, Data Analytics- Remote

Product Manager – Data Analytics

Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of their location or financial situation. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in Boca Raton, FL, our passionate changemaking team is looking for a Product Manager.

We are looking for a Product Manager to lead ongoing clinical data analytics products and the expansion of our product portfolio. In this position, you will take the lead within the organization for product planning, product management, and coordination of downstream product release deliverables.

As a key member of the Product Management Team, you will lead market research to identify novel products, determine product requirements, and work collaboratively with software engineering to determine production timelines and success criteria, prepare go-to-market plans and marketing briefs, and monitor the product projects from concept to launch. If you are a collaborative and motivated product leader looking to join a growing company with a focus on better clinical outcomes for cancer patients, then Massive Bio may be the perfect place for you.

Reporting to the CPO, the Product Manager for Data Analytics will:

• Apply data mining techniques to extract meaningful patterns and insights from clinical, genomic, and operational datasets to guide product development
• Oversee usability testing, gather user feedback, and drive continuous improvement across the product lifecycle
• Collect and secure structured and unstructured training datasets for AI model development
• Conduct market research to identify key customer segments,
• Gather user input from clinical case managers on existing solutions and future product roadmap.
• Identify and secure training data sets,
• Monitor competitors and market trends to inform product roadmaps,
• Conduct usability studies and gather user feedback,
• Triage and manage improvement requests from various sources,
• Prioritize development for optimum product-market fit,
• Develop product requirements and specifications,
• Communicate with cross-functional team members,
• Monitor operations to identify problems, look for solutions, and continuously improve the product lifecycle.
• Develop and implement process improvement and cost-reducing recommendations,
• Develop data-driven AI algorithms and engineer GPT prompts
• Establish differentiators and value propositions and develop competitive selling points for sales and business development.
• Develop product pricing strategies,
• Support launches as a resource providing clients with well-informed and helpful answers to their questions,
• Ensure that a complete commercial package is distributed with each release, including sales training as necessary.
• Evaluate new opportunities in (adjacent) market segments,
• Assist sales in key deals, especially where discussion of the roadmap or research is involved.
• Prepare briefs for Marketing and Communication.
  
  

Candidate Profile:

• University graduate from an industrial or other engineering discipline, computer science, or related fields.
• Master of Business Administration degree is a plus,
• 5+ years post-graduate, hands-on experience in software development and/or product management and a deep understanding of databases, analytic software, and information technology.
• Experience with analytic software product development tools and Agile Scrum methods,
• Product management experience with data analytics products using AI algorithms,
• Experience with data analytics applications and working with large data sets,
• Experience leading clinical data-driven products for healthcare data would be a big advantage.
• Demonstrated ability to work collaboratively on cross-functional teams in a fast-moving environment,
• Working knowledge of data science tools such as Python, SQL, Power BI, etc.
• Strong interpersonal skills with the ability to work both independently and as part of a team,
• Excellent English written and verbal communication skills
• Candidates must reside in the Schengen area or the UK and hold a valid work permit
  
  

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Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Product Management and Marketing
• Industries Internet Publishing

Referrals increase your chances of interviewing at Massive Bio by 2x

Get notified about new Product Manager jobs in Bandar Banang Jaya, Johore, Malaysia .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Overview

Product Manager – Data Analytics

Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of location or financial situation. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in Boca Raton, FL, our passionate changemaking team is looking for a Product Manager. We are looking for a Product Manager to lead ongoing clinical data analytics products and the expansion of our product portfolio. In this position, you will take the lead within the organization for product planning, product management, and coordination of downstream product release deliverables. As a key member of the Product Management Team, you will lead market research to identify novel products, determine product requirements, and work collaboratively with software engineering to determine production timelines and success criteria, prepare go-to-market plans and marketing briefs, and monitor the product projects from concept to launch. If you are a collaborative and motivated product leader looking to join a growing company with a focus on better clinical outcomes for cancer patients, then Massive Bio may be the perfect place for you.

Responsibilities

• Report to the CPO as the Product Manager for Data Analytics.
• Apply data mining techniques to extract meaningful patterns and insights from clinical, genomic, and operational datasets to guide product development.
• Oversee usability testing, gather user feedback, and drive continuous improvement across the product lifecycle.
• Collect and secure structured and unstructured training datasets for AI model development.
• Conduct market research to identify key customer segments and monitor competitors and market trends to inform product roadmaps.
• Gather user input from clinical case managers on existing solutions and future product roadmap.
• Identify and secure training data sets for AI and data analytics initiatives.
• Triage and manage improvement requests from various sources; prioritize development for optimum product-market fit.
• Develop product requirements and specifications; communicate with cross-functional team members.
• Monitor operations to identify problems, look for solutions, and continuously improve the product lifecycle.
• Develop and implement process improvement and cost-reducing recommendations.
• Develop data-driven AI algorithms and engineer GPT prompts as appropriate to product needs.
• Establish differentiators and value propositions and develop competitive selling points for sales and business development.
• Develop product pricing strategies and support launches with well-informed client-facing assistance.
• Ensure that a complete commercial package is distributed with each release, including sales training as necessary.
• Evaluate new opportunities in adjacent market segments and assist sales in key deals, especially where discussion of the roadmap or research is involved.
• Prepare briefs for Marketing and Communications.

Qualifications

• University graduate from an industrial or other engineering discipline, computer science, or related fields.
• Master of Business Administration degree is a plus.
• 5+ years post-graduate, hands-on experience in software development and/or product management with a deep understanding of databases, analytic software, and information technology.
• Experience with analytic software product development tools and Agile Scrum methods.
• Product management experience with data analytics products using AI algorithms.
• Experience with data analytics applications and working with large data sets.
• Experience leading clinical data-driven products for healthcare data would be a big advantage.
• Demonstrated ability to work collaboratively on cross-functional teams in a fast-moving environment.
• Working knowledge of data science tools such as Python, SQL, Power BI, etc.
• Strong interpersonal skills with the ability to work both independently and as part of a team.
• Excellent English written and verbal communication skills.
• Candidates must reside in the Schengen area or the UK and hold a valid work permit.

#J-18808-Ljbffr

Europe, Product Manager, Data Analytics- Remote

Product Manager – Data Analytics

Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of their location or financial situation. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in Boca Raton, FL, our passionate changemaking team is looking for a Product Manager.

We are looking for a Product Manager to lead ongoing clinical data analytics products and the expansion of our product portfolio. In this position, you will take the lead within the organization for product planning, product management, and coordination of downstream product release deliverables.

As a key member of the Product Management Team, you will lead market research to identify novel products, determine product requirements, and work collaboratively with software engineering to determine production timelines and success criteria, prepare go-to-market plans and marketing briefs, and monitor the product projects from concept to launch. If you are a collaborative and motivated product leader looking to join a growing company with a focus on better clinical outcomes for cancer patients, then Massive Bio may be the perfect place for you.

Reporting to the CPO, the Product Manager for Data Analytics will:

Apply data mining techniques to extract meaningful patterns and insights from clinical, genomic, and operational datasets to guide product development Oversee usability testing, gather user feedback, and drive continuous improvement across the product lifecycle Collect and secure structured and unstructured training datasets for AI model development Conduct market research to identify key customer segments, Gather user input from clinical case managers on existing solutions and future product roadmap. Identify and secure training data sets, Monitor competitors and market trends to inform product roadmaps, Conduct usability studies and gather user feedback, Triage and manage improvement requests from various sources, Prioritize development for optimum product-market fit, Develop product requirements and specifications, Communicate with cross-functional team members, Monitor operations to identify problems, look for solutions, and continuously improve the product lifecycle. Develop and implement process improvement and cost-reducing recommendations, Develop data-driven AI algorithms and engineer GPT prompts Establish differentiators and value propositions and develop competitive selling points for sales and business development. Develop product pricing strategies, Support launches as a resource providing clients with well-informed and helpful answers to their questions, Ensure that a complete commercial package is distributed with each release, including sales training as necessary. Evaluate new opportunities in (adjacent) market segments, Assist sales in key deals, especially where discussion of the roadmap or research is involved. Prepare briefs for Marketing and Communication.

Candidate Profile:

University graduate from an industrial or other engineering discipline, computer science, or related fields. Master of Business Administration degree is a plus, 5+ years post-graduate, hands-on experience in software development and/or product management and a deep understanding of databases, analytic software, and information technology. Experience with analytic software product development tools and Agile Scrum methods, Product management experience with data analytics products using AI algorithms, Experience with data analytics applications and working with large data sets, Experience leading clinical data-driven products for healthcare data would be a big advantage. Demonstrated ability to work collaboratively on cross-functional teams in a fast-moving environment, Working knowledge of data science tools such as Python, SQL, Power BI, etc. Strong interpersonal skills with the ability to work both independently and as part of a team, Excellent English written and verbal communication skills Candidates must reside in the Schengen area or the UK and hold a valid work permit

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TokbyOeKOr Seniority level

Seniority level Director Employment type

Employment type Full-time Job function

Job function Product Management and Marketing Industries Internet Publishing Referrals increase your chances of interviewing at Massive Bio by 2x Get notified about new Product Manager jobs in

Bandar Banang Jaya, Johore, Malaysia . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Overview

Product Manager – Data Analytics Massive Bio is a rapidly growing health-tech startup founded in 2015 to provide every cancer patient with access to clinical trials regardless of location or financial situation. Our proprietary patient recruitment and enrollment enablement solution for oncology clinical trials solves every point of friction in traditional clinical trial enrollment. Privately held and headquartered in Boca Raton, FL, our passionate changemaking team is looking for a Product Manager. We are looking for a Product Manager to lead ongoing clinical data analytics products and the expansion of our product portfolio. In this position, you will take the lead within the organization for product planning, product management, and coordination of downstream product release deliverables. As a key member of the Product Management Team, you will lead market research to identify novel products, determine product requirements, and work collaboratively with software engineering to determine production timelines and success criteria, prepare go-to-market plans and marketing briefs, and monitor the product projects from concept to launch. If you are a collaborative and motivated product leader looking to join a growing company with a focus on better clinical outcomes for cancer patients, then Massive Bio may be the perfect place for you. Responsibilities

Report to the CPO as the Product Manager for Data Analytics. Apply data mining techniques to extract meaningful patterns and insights from clinical, genomic, and operational datasets to guide product development. Oversee usability testing, gather user feedback, and drive continuous improvement across the product lifecycle. Collect and secure structured and unstructured training datasets for AI model development. Conduct market research to identify key customer segments and monitor competitors and market trends to inform product roadmaps. Gather user input from clinical case managers on existing solutions and future product roadmap. Identify and secure training data sets for AI and data analytics initiatives. Triage and manage improvement requests from various sources; prioritize development for optimum product-market fit. Develop product requirements and specifications; communicate with cross-functional team members. Monitor operations to identify problems, look for solutions, and continuously improve the product lifecycle. Develop and implement process improvement and cost-reducing recommendations. Develop data-driven AI algorithms and engineer GPT prompts as appropriate to product needs. Establish differentiators and value propositions and develop competitive selling points for sales and business development. Develop product pricing strategies and support launches with well-informed client-facing assistance. Ensure that a complete commercial package is distributed with each release, including sales training as necessary. Evaluate new opportunities in adjacent market segments and assist sales in key deals, especially where discussion of the roadmap or research is involved. Prepare briefs for Marketing and Communications. Qualifications

University graduate from an industrial or other engineering discipline, computer science, or related fields. Master of Business Administration degree is a plus. 5+ years post-graduate, hands-on experience in software development and/or product management with a deep understanding of databases, analytic software, and information technology. Experience with analytic software product development tools and Agile Scrum methods. Product management experience with data analytics products using AI algorithms. Experience with data analytics applications and working with large data sets. Experience leading clinical data-driven products for healthcare data would be a big advantage. Demonstrated ability to work collaboratively on cross-functional teams in a fast-moving environment. Working knowledge of data science tools such as Python, SQL, Power BI, etc. Strong interpersonal skills with the ability to work both independently and as part of a team. Excellent English written and verbal communication skills. Candidates must reside in the Schengen area or the UK and hold a valid work permit.

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Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

Location is distributed across teams in multiple time zones. We believe in distributed collaboration but aim for colleagues to have company during work hours. Successful candidates will join a team where most members and their manager are broadly in the same time zone to enable constant collaboration and discussion.

Responsibilities

• Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, and tracing
• Work with Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact publicly with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits reflecting our values and ensuring fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, we are shaping the world of software for AI, IoT and the cloud. We recruit on a global basis and set a high standard for people joining the company. Most colleagues have worked from home since 2004. Working here challenges you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. Location is distributed across teams in multiple time zones. We believe in distributed collaboration but aim for colleagues to have company during work hours. Successful candidates will join a team where most members and their manager are broadly in the same time zone to enable constant collaboration and discussion. Responsibilities

Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, and tracing Work with Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact publicly with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you

Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits reflecting our values and ensuring fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long haul company events About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, we are shaping the world of software for AI, IoT and the cloud. We recruit on a global basis and set a high standard for people joining the company. Most colleagues have worked from home since 2004. Working here challenges you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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About The Job

The Lifetime Value Co. is looking for an Analyst to join our growing team to influence strategy and improve decision making throughout the company.

We are looking for self-starters who attack business problems with curiosity and effectively navigate gray space to deliver results. In this remote-friendly role, you will be expected to challenge the status quo and use data to formulate recommendations that improve the business. You must be able to effectively communicate those insights and drive results across the organization, at all levels. The ideal candidate is comfortable working with complex datasets using SQL and BI tools and is thoughtful and creative when solving data problems and designing data visualizations. Our team is driven, passionate, creative, energetic, and fun. We love to challenge each other by asking difficult questions and collaborating to solve problems together.

What You Will Get to Do

• Influence business and product strategy through data-driven insights
• Work with the customer service team to analyze and implement business practices to maximize efficiency and quality of customer care.
• Perform deep-dive analyses on customer service data, specifically telephony and IVR, and translate results into actionable business insights
• Develop metrics relevant to the customer service areas and help teams to measure results
• Create compelling visualizations and presentations to help tell the story of the customer experience
• Present findings and make recommendations to management and stakeholders
• Design dashboards and reports for partner teams in Looker
• Create and maintain analytical presentation layers in our SQL database
• Assist in building and refining models used to drive important business decisions

What You Bring to the Table

• Bachelor’s degree in STEM, Finance, Economics, behavioral sciences, or similar quantitative field
• 2+ years of relevant work experience, ideally as an analyst in customer care sector
• Ability to tell a story using data, make actionable recommendations, and drive changes that improve the business
• Strong knowledge of SQL and the desire to work with large, complex datasets
• Strong business judgment and entrepreneurial drive
• High attention to detail and ability to balance multiple priorities
• Prior experience using Looker, Excel, Tableau, or other BI tools is preferred
• Prior experience with subscription-business models, marketing-driven businesses, web analytics, and e-commerce payments are all nice-to-have as well

Why LTV Co?

If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products, and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development.

We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win, and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this!

About Us

LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time, their mission was to provide easy and affordable access to public records. Something that in 2007 was only really accessible to corporations. Since then, their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 10 consumer brands, including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, MoneyBot5000, and Wingmate.

Our mission is to develop a diverse portfolio of technologies, products, and services that give all people equal access to unbiased data and information. We believe that through this access, people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency.

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About the Job

The Lifetime Value Co. is looking for an Analyst to join our growing team to influence strategy and improve decision making throughout the company. We are looking for self-starters who attack business problems with curiosity and effectively navigate gray space to deliver results. In this remote-friendly role, you will be expected to challenge the status quo and use data to formulate recommendations that improve the business. You must be able to effectively communicate those insights and drive results across the organization, at all levels. The ideal candidate is comfortable working with complex datasets using SQL and BI tools and is thoughtful and creative when solving data problems and designing data visualizations. Our team is driven, passionate, creative, energetic, and fun. We love to challenge each other by asking difficult questions and collaborating to solve problems together.

What You Will Get to Do

• Influence business and product strategy through data-driven insights
• Work with the customer service team to analyze and implement business practices to maximize efficiency and quality of customer care
• Perform deep-dive analyses on customer service data, specifically telephony and IVR, and translate results into actionable business insights
• Develop metrics relevant to the customer service areas and help teams to measure results
• Create compelling visualizations and presentations to help tell the story of the customer experience
• Present findings and make recommendations to management and stakeholders
• Design dashboards and reports for partner teams in Looker
• Create and maintain analytical presentation layers in our SQL database
• Assist in building and refining models used to drive important business decisions

What You Bring to the Table

• Bachelor’s degree in STEM, Finance, Economics, behavioral sciences, or similar quantitative field
• 2+ years of relevant work experience, ideally as an analyst in customer care sector
• Ability to tell a story using data, make actionable recommendations, and drive changes that improve the business
• Strong knowledge of SQL and the desire to work with large, complex datasets
• Strong business judgment and entrepreneurial drive
• High attention to detail and ability to balance multiple priorities
• Prior experience using Looker, Excel, Tableau, or other BI tools is preferred
• Prior experience with subscription-business models, marketing-driven businesses, web analytics, and e-commerce payments are all nice-to-have as well

Why LTV Co?

If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products, and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development.

We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win, and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this!

About Us

LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time, their mission was to provide easy and affordable access to public records. Something that in 2007 was only really accessible to corporations. Since then, their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 10 consumer brands, including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, MoneyBot5000, and Wingmate.

Our mission is to develop a diverse portfolio of technologies, products, and services that give all people equal access to unbiased data and information. We believe that through this access, people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency.

#J-18808-Ljbffr