We're DrinkPrime, a startup based in Bengaluru that's all about making clean, safe, and healthy drinking water accessible to everyone. We provide cutting-edge IoT-enabled customized water purifiers on a subscription basis, and we currently serve more than one lakh users across Bengaluru, Delhi NCR, and Hyderabad. We're not just another boring water purifier manufacturing company - we're a forward-thinking drinking water solution provider that speaks directly to our target audience, and this has earned us the support of some big VCs in the industry. We're looking for awesome tech professionals who want to join us in creating history and making a real difference. So why not come and be a part of our journey towards a better future?
Job Overview
The Senior Data Analyst will play a key role in collecting, analyzing, and interpreting complex data to inform business decisions. The ideal candidate will have extensive experience with data analytics, statistical analysis, and visualization tools. This position requires a deep understanding of business operations, excellent problem-solving skills, and the ability to communicate data-driven insights to stakeholders at all levels.
Key Responsibilities:
- Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
- Develop and maintain interactive dashboards and reports to monitor key business metrics.
- Collaborate with business units to understand data needs and translate them into actionable analyses.
- Design and implement data models for predictive and prescriptive analytics.
- Build and maintain forecasting models to support strategic planning.
- Develop and enhance reporting processes and metrics to ensure they align with business goals.
- Ensure data integrity and accuracy by performing data validation and cleaning tasks.
- Collaborate with data engineering teams to improve data pipelines and data governance practices.
- Lead ad-hoc data analysis projects, ensuring timely delivery and quality of insights.
Qualifications:
- Experience
- 5+ years of experience in data analysis, business intelligence, or a related field.
- Proven track record of working with large datasets and deriving actionable insights.
- Experience in data visualization, dashboard creation, and reporting (e.g., Tableau, Power BI, Looker, etc.).
- Technical Skills:
- Proficiency in SQL for data extraction and manipulation.
- Strong knowledge of statistical analysis and techniques.
- Expertise in Excel or other spreadsheet tools for complex data analysis.
- Familiarity with scripting languages such as Python, R, or similar.
- Experience with data warehousing, ETL processes, and big data tools is a plus.
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