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