Senior Data Analyst

Location: Bengaluru

As a Senior Data Analyst, you will be the bridge between raw data and strategic execution. We are looking for a technical powerhouse who lives and breathes  SQL . You won't just be running queries; you will be designing complex data models, optimizing performance for massive datasets, and mentoring junior analysts. Your insights will directly influence our product roadmap and business strategy.

Key Responsibilities
Advanced SQL Development:  Write, troubleshoot, and optimize complex SQL queries involving multi-table joins, subqueries, and window functions to extract insights from relational databases.
Data Modeling & Architecture:  Design and maintain robust data models and schemas that ensure data integrity and high performance for BI tools.
Stakeholder Partnership:  Act as a strategic partner to Product, Marketing, and Finance teams, translating ambiguous business questions into structured analytical projects.
Dashboarding & Visualization:  Build and automate high-impact dashboards (Tableau, Power BI, or Looker) that track KPIs and provide real-time visibility into business health.
Performance Tuning:  Monitor and optimize query performance, identifying bottlenecks and implementing indexing or partitioning strategies to handle scale.
Mentorship:  Lead code reviews for SQL and data logic, providing guidance to junior analysts to ensure high standards of data accuracy and efficiency.
ETL

Collaboration:

Partner with Data Engineers to streamline data pipelines and ensure the "source of truth" is reliable and well-documented.

Required Qualifications

Experience:

5+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
SQL Mastery:  Expert-level SQL skills are mandatory (Postgre

SQL, Snowflake, Big Query, or SQL Server). You should be comfortable with CTEs, window functions, and complex query optimization.
BI Tools:  Extensive experience building scalable reporting solutions in tools like  Tableau, Power BI, Looker, or Sigma .
Statistical Foundation:  Strong understanding of statistical concepts (A/B testing, regression, correlation vs. causation).
Analytical Rigor:  Ability to clean and validate "messy" data, ensuring that insights are based on high-quality, verified sources.
Communication:  Proven ability to present complex technical findings to non-technical executives in a clear, actionable story.

Preferred Skills (The "Plus" List)

Experience with  Python or R  for advanced statistical modeling or automation.
Familiarity with modern data stack tools like  dbt (data build tool) .
Knowledge of cloud data warehouses (e.g., Snowflake, AWS Redshift, Google Big Query).
Background in a specific industry (e.g., SaaS, Fin Tech, or E-commerce).