Position Summary
Title: Senior Data Analyst
Summary:
- The Senior Data Analyst works with Content Enablement business & IT stakeholders and play a critical role in driving data-driven decision-making and improving the overall product performance.
- The primary responsibility will be to identify and analyze large datasets, extract valuable insights, and provide actionable recommendations to optimize the product's features, functionalities, and user experience.
Major Activities:
- Collaborate with cross-functional teams, including product owners, IT, and Product success, to identify key metrics and define data requirements for product development and enhancement.
- Analyze complex datasets to identify trends, patterns, and correlations that provide valuable insights into user behavior, product usage and adoption, and overall product performance.
- Develop and maintain key performance indicators (KPIs), dashboards, and reports to track the product's performance and identify areas for improvement.
- Support experiments to measure the impact of product changes and guide decision-making.
- Utilize statistical techniques and predictive modeling to forecast user behavior and make data-driven recommendations for product improvements.
- Present findings and recommendations to stakeholders in a clear and concise manner, enabling them to make informed decisions about product strategy.
- Stay up-to-date with industry trends and best practices in data analysis, product analytics, and data visualization, and apply them to enhance the product team's capabilities.
Languages:
- English: Excellent fluency in oral and written.
- Second language is a plus.
Qualifications:
Education (Min): Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline preferred.
Experience/Skills (Req):
- 10+ year of proven experience as a Data Analyst or similar role, preferably in a product-focused environment.
- Strong analytical skills, with the ability to analyze complex datasets using statistical techniques and data visualization tools.
- Experience with Power BI and Qlik sense (additional similar tools are a plus) to create interactive dashboards and reports.
- Familiarity with prototyping and experimentation frameworks.
- Excellent communication and presentation skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to think critically to identify actionable insights from data.
- Attention to detail and the ability to work independently, manage multiple priorities, and meet deadlines.
- Have a discovery and growth mindset.
- Commitment to lead on the Client’s defined values & behaviors.