Senior Data Analyst role focused on transforming complex datasets into strategic insights for business decision-making. Key responsibilities include translating business questions into analytical frameworks, building dashboards, developing KPIs, and conducting predictive modeling. Requires 5+ years of data analytics experience, advanced SQL, BI tools proficiency, and strong communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data only creates value when it drives decisions.
This Senior Data Analyst role is built for a sharp, business-minded professional who can transform complex datasets into strategic insights. The position sits at the core of decision-making—partnering with leadership, product, and operations to uncover patterns, identify opportunities, and deliver measurable impact.
This is not a reporting role.
This is an insight-driving role.
Key Responsibilities
- Translate business questions into structured analytical frameworks
- Analyze large datasets to uncover trends, risks, and growth opportunities
- Build dashboards and performance reports for leadership visibility
- Develop KPIs and tracking systems aligned to business objectives
- Partner with cross-functional teams to influence strategic decisions
- Conduct cohort analysis, forecasting, and predictive modeling
- Ensure data accuracy, integrity, and governance standards
- Present findings in a clear, actionable format to stakeholders
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What Success Looks Like
- Clear, data-backed recommendations influencing business outcomes
- Improved operational efficiency through analytical insights
- Accurate forecasting and performance tracking
- Increased visibility across key metrics and growth drivers
- Faster, smarter decision-making across teams
Required Skills & Experience
- 5+ years of experience in data analytics or business intelligence
- Advanced SQL proficiency and strong data manipulation skills
- Experience with BI tools (Power BI, Tableau, Looker, etc.)
- Strong understanding of statistics and data modeling concepts
- Experience with Python or R for analysis (preferred)
- Ability to work with large datasets and structured/unstructured data
- Strong communication skills to translate data into business language
- Self-driven and comfortable in a remote work environment
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Preferred Qualifications
- Experience in SaaS, fintech, e-commerce, or high-growth environments
- Exposure to A/B testing and experimentation frameworks
- Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift)
- Experience collaborating with data engineering teams
Why This Role Stands Out
- Fully remote across India
- Direct exposure to strategic decision-making
- High ownership and visibility across teams
- Opportunity to influence growth and performance metrics
- Competitive compensation with long-term growth potential
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