We are seeking a detail\-oriented, analytical, and highly motivated **Data Analyst** to join our growing team. In this role, you will turn data into actionable insights, helping to drive strategic business decisions. The ideal candidate has a passion for discovering trends, building robust data models, and translating complex data sets into clear, executive\-level stories.
If you are a problem\-solver who thrives on optimizing data workflows and delivering business intelligence, we want to hear from you.
- **Data Extraction \& Manipulation:** Write complex **SQL** queries to extract, clean, and transform raw data from multiple relational databases.
- **Business Intelligence \& Reporting:** Design, develop, and maintain interactive dashboards and reports using **data visualization tools** (such as Tableau, Power BI, or Looker).
- **Data Modeling \& Analysis:** Perform exploratory data analysis to identify trends, patterns, anomalies, and opportunities for operational improvement.
- **Cross\-Functional Collaboration:** Partner with product, marketing, and operations teams to understand their data needs and deliver tailored analytical solutions.
- **Data Integrity:** Monitor and audit data quality to ensure accuracy, consistency, and reliability across all reporting systems.
- *Required Skills and Qualifications**
- **Experience:** Proven experience working as a **Data Analyst**, Business Analyst, or in a similar quantitative role.
- **Technical Skills:** Strong proficiency in **SQL** is required. Experience with programming languages like **Python** or **R** for data analysis is highly preferred.
- **Data Visualization:** Hands\-on experience building user\-friendly dashboards in **Power BI**, **Tableau**, or similar software.
- **Analytical Mindset:** Strong mathematical, statistical, and problem\-solving skills with the ability to collect, organize, and analyze significant amounts of information.
- **Communication:** Excellent verbal and written communication skills, with a proven ability to explain technical data concepts to non\-technical stakeholders.
- **Education:** Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Mathematics, or a related quantitative field (or equivalent practical experience).
- *Preferred Qualifications**
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Familiarity with predictive modeling, statistical analysis, or A/B testing methodologies.
- Knowledge of data pipeline tools or basic ETL (Extract, Transform, Load) processes.
Please submit your resume along with a brief cover letter outlining your experience with SQL and your favorite data visualization tool.
Pay: ₹43,000\.00 \- ₹47,000\.00 per month
Benefits
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person