Data Analyst – Full‐Time (Engineering)
Location: Ahmedabad, Gujarat, India (Hybrid – 2 days in office)
Number of Openings: 5
We are looking to hire 5 Data Analysts to join our fast‐growing analytics team. You will transform raw data into actionable insights that drive strategic decisions, design and maintain dashboards, and partner with cross‐functional stakeholders to empower data‐driven growth.
Key Responsibilities
- Design, develop, and maintain interactive dashboards and reporting solutions using Tableau and Power BI.
- Write optimized SQL queries for data extraction, transformation, and loading (ETL) across multiple data sources.
- Build and maintain robust data models supporting analytical and operational needs.
- Perform statistical analysis and generate insights that influence product, marketing, and business strategy.
- Collaborate with engineering, product, and leadership teams to understand requirements and deliver timely analytics.
- Document data pipelines, reporting standards, and analytical methodologies.
- Monitor data quality, troubleshoot issues, and continuously improve data processes.
Required Experience & Skills
- 10+ years of professional experience in data analysis or related fields.
- Proficiency in SQL (complex queries, performance tuning).
- Strong programming skills in Python (pandas, NumPy, scipy).
- Expertise in Tableau for visualization and dashboard development.
- Solid understanding of Data Modeling concepts and implementation.
- Hands‐on experience with Statistical Analysis techniques and tools.
Education & Qualifications
- Not Applicable (no formal education requirement).
Good‐to‐Have Skills
- Experience with AWS services (Redshift, S3, Glue, etc.).
- Proficiency in Power BI for additional reporting capabilities.
- Knowledge of Machine Learning algorithms and model deployment.
- Excellent communication skills for presenting insights to non‐technical audiences.
Compensation & Benefits
- Compensation: ₹1L - ₹2L / hr
- Benefits: Health Insurance, Stock Options / Equity, Flexible Work Hours
What We Offer / Work Culture
- A collaborative, data‐first environment where ideas are encouraged and impact is visible.
- Hybrid work model offering flexibility while fostering in‐person teamwork.
- Continuous learning opportunities, including access to training, conferences, and internal knowledge‐sharing sessions.
- Transparent career progression paths and mentorship from senior leaders.
- A supportive culture that values work‐life balance, diversity, and innovation.
If you are passionate about turning data into strategic assets and thrive in a dynamic, hybrid setting, we invite you to apply and help shape the future of our company.
