Are you a strategic thinker who excels at transforming complex datasets into high-impact business strategies? We are looking for an experienced and forward-thinking Senior Data Analyst to join our team. In this senior role, you will not only deep-dive into advanced analytics but also serve as a strategic partner to leadership, driving the data architecture, predictive modeling, and analytics roadmap that fuels our organization's growth.
If you are a master of data engineering pipelines, possess advanced visualization skills, and thrive on leading cross-functional initiatives, we want you to shape the future of our data culture.
Key Responsibilities
- Strategic Insights & Modeling: Lead advanced exploratory data analysis, predictive modeling, and statistical analysis to uncover deep business insights and forecasting trends.
- Data Architecture & ETL: Design, optimize, and maintain scalable ETL/ELT pipelines and data structures, ensuring data flows seamlessly from production systems to analytics warehouses.
- Executive Dashboards: Spearhead the development of enterprise-level automated dashboards and reporting frameworks, delivering real-time visibility into company-wide KPIs.
- Cross-Department Coordination: Partner closely with leadership and diverse business units to define metrics, align analytical strategies with daily operations, and support data-driven decision-making.
- Data Governance & Quality: Establish and enforce rigorous data governance standards, documentation, and validation protocols to maintain absolute data integrity and security.
- Mentorship & Leadership: Serve as a technical subject matter expert, mentoring junior analysts and promoting a data-literate culture across the organization.
Required Skills and Qualifications
- Advanced Database Management: Mastery of SQL (complex queries, window functions, query optimization) across major platforms like Snowflake, BigQuery, PostgreSQL, or Redshift.
- Programming for Analytics: Strong proficiency in Python or R for advanced data manipulation, automation, and statistical modeling (using libraries such as Pandas, NumPy, Scikit-Learn).
- Business Intelligence Expertise: Extensive experience designing high-performance enterprise dashboards using tools like Power BI, Tableau, or Looker.
- Data Engineering Fundamentals: Solid experience working with modern data stack tools, orchestration pipelines, and data transformations (e.g., dbt, Airflow).
- Strategic Communication: Exceptional ability to synthesize highly technical findings into clear, compelling narratives for executive stakeholders and non-technical audiences.
- Problem-Solving & Autonomy: Proven track record of managing end-to-end data projects independently, from initial requirements gathering to final deployment.
Preferred Qualifications
- Experience implementing machine learning models or statistical forecasting in a production environment.
- Background in agile project management frameworks and version control best practices (Git).
- Strong understanding of product analytics or marketing attribution models.
How to Apply
If you are ready to take ownership of our data strategy and drive measurable business impact, click Apply Now to submit your resume, along with a link to your portfolio or an overview of a major data infrastructure project you have led.
Pay: ₹60,000.00 - ₹67,000.00 per month
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
