We are seeking a highly experienced and strategic Senior Data Analyst to join our team. The ideal candidate will bring deep analytical expertise, a strong business acumen, and the ability to translate data into actionable insights that drive business decisions. You will be expected to lead complex projects, mentor junior analysts, and partner with cross-functional teams to influence strategy and growth.
Key Responsibilities
- Lead end-to-end analytics projects — from problem definition, data extraction, data wrangling, to insight generation and presentation.
- Partner with business, product, operations, and engineering teams to identify and solve key business challenges using data.
- Build and maintain robust dashboards, KPIs, and reporting tools that drive performance tracking and decision-making.
- Design and implement A / B tests and statistical models to support experimentation and hypothesis testing.
- Interpret data trends, identify business opportunities, and provide strategic recommendations to leadership.
- Optimize data quality and ensure governance and best practices in data management.
- Mentor and guide junior analysts in tools, methodologies, and business understanding.
- Proactively identify inefficiencies and automate repetitive data processes.
Requirements
Bachelor’s / Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or related.8+ years of experience in data analytics, preferably in a high-growth or large-scale organization.Advanced proficiency in SQL, Excel, and data visualization tools such as Tableau, Power BI, or Looker.Strong working knowledge of statistical methods, data modeling, and experimentation techniques.Hands-on experience with programming languages such as Python or R.Demonstrated ability to derive meaningful insights and communicate them effectively to stakeholders at all levels.Excellent problem-solving, business acumen, and project management skills.Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment.Preferred Qualifications
Experience in domains such as e-commerce, agri-tech, fintech, or supply chain analytics.Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).Exposure to machine learning frameworks and data science workflows.