Advanced Specialist, Product Data Analyst
Pearson VUE
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Use data to provide valuable insights on how to increase product adoption, user retention, engagement, and monetization.
- Work along with Data Engineers to collect and interpret large data sets, identify trends and develop data visualizations.
- Answer requests from business stakeholders and explore opportunities to improve the user journey.
- Conduct trends and cohort analysis for user behavior, A/B testing, and other types of analysis and experiments.
- Provide valuable insights on how to increase product adoption rate, user retention, user engagement, and product monetization.
- Participate in product planning and strategy meetings, providing data-driven insights to guide decision making.
- Translate complex quantitative analysis and data into easily understandable results for all levels of the company.
- Ensure data quality by collaborating with data engineers and implementing data validation practices.
- Stay current on industry trends and latest analytics technologies to continue improving data quality and insights.
- Collaborate with product managers, engineers, and UX designers to influence product design and user experience based on insights.
- Champion a data-driven culture within the organization, advocating for the importance of data in decision-making processes.
Requirements
- Degree (or equivalent) in Informatics, Economics, Computer Science, or equivalent combination of education, training, and experience
- Minimum 5 years of experience with data analysis, working with BI tools
- Strong knowledge of SQL and good knowledge of other tools for data analysis, like Excel, Python, PowerBI, and similar
- Proficiency with analyzing feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user archetypes and their usage patterns.
- Excellent attention to details and analytical skills
- Previous success with uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations
- Excellent verbal and written communication skills in English, including the ability to communicate technical concepts to non-technical stakeholders;
- Ability to work in a fast-paced environment and handle multiple priorities;
- Ability to work in a team and communicate effectively with colleagues;
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisSQLA/B testingdata visualizationPythonPowerBIExceluser behavior analysisdata validationcohort analysis
Soft Skills
analytical skillsattention to detailverbal communicationwritten communicationteamworktime managementproblem-solvingstakeholder engagementadaptabilitydata-driven decision making