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Key Responsibilities:
- Manage analytics project lifecycles from requirements gathering through delivery, ensuring timelines, deliverables, and stakeholder expectations are aligned and met.
- Coordinate cross-functional initiatives, balancing priorities across business, product, marketing, and data teams to deliver high-impact analytics projects.
- Develop, maintain, and enhance reporting and analytics frameworks to support business strategies and drive informed decision-making.
- Design, implement, and refine visually compelling reports and dashboards in tools like PowerBI, Tableau etc..
- Transform raw data into clear narratives and actionable recommendations through impactful storytelling, catering to both technical and non-technical audiences.
- Collaborate closely with Data Engineering and Data Ops teams to define data requirements, maintain data integrity, and optimize data pipelines.
- Lead QA and validation efforts for dashboards and reports to ensure data accuracy and analytical rigor before release to business stakeholders.
- Utilize Databricks and AWS platforms to manage, analyze, and scale data solutions effectively.
- Support A/B testing frameworks and causal inference analysis to evaluate marketing and product experiments and recommend optimizations.
- Translate stakeholder questions into structured analytical approaches, helping guide the scoping of metrics, KPIs, and success criteria.
- Work with product and engineering teams to define and operationalize key data definitions and event tracking standards.
- Serve as a strategic thought partner in periodic business reviews, providing insights into user behavior, content engagement, and operational efficiency.
- Champion data literacy initiatives by conducting training sessions, creating onboarding guides, and offering one-on-one coaching to business users.
- Proven experience in analytics, BI, or a related role, ideally in a publishing or subscription-based environment.
- Expert level proficiency with Tableau and open-source visualization tools (e.g., Plotly, D3.js), paired with strong design sensibilities.
- Solid SQL skills for data querying and transformation; familiarity with Python or R is highly advantageous.
- Experience with Databricks and AWS, including knowledge of data modeling, ETL pipelines, and data warehouse concepts.
- Strong foundation in statistical methods, regression analysis, machine learning, and hypothesis testing.
- Excellent communication skills and collaborative mindset for working with developers, engineers, and diverse stakeholders.
- Self-motivated, detail-oriented, and naturally curious, with a passion for discovering new insights and driving continuous improvement.
- Bachelor’s degree in Data Science, Analytics, Information Systems, or a related field (advanced degree is a plus).
Key Skills
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