DrinkPrime is hiring for the role of Graduate Engineer Trainee – Data Analysis for the Bangalore location. Please read the entire information carefully and apply if you are eligible for the Graduate Engineer Trainee Job Opening at DrinkPrime.
Eligibility Criteria:
Education: Bachelor’s in Engineering, Data Science, Mathematics, or related technical fields.
Job Location: Bangalore
Experience: 0–3 years
Skills: R / Python
Salary: Up to ₹4 Lakhs to ₹8 Lakhs annually (As per Glassdoor).
Responsibilities for Graduate Engineer Trainee Job Opening at DrinkPrime:
- Gather and consolidate data from internal and external sources.
- Clean, validate, and organize raw datasets for analysis.
- Perform Exploratory Data Analysis (EDA) to detect trends and patterns.
- Apply statistical methods and data mining as needed.
- Create dashboards and insightful visualizations using Power BI, Tableau, or Excel.
- Present data-driven insights to stakeholders.
- Build basic data pipelines for routine analytics workflows.
- Collaborate with BI, engineering, and product teams to address data requirements.
- Document processes, methodologies, and maintain reproducibility of analytics work.
- Continuously learn new tools and stay updated with industry trends.
Required qualifications, capabilities, and skills:
- Bachelor’s in Engineering, Data Science, Mathematics, or related technical fields.
- Familiarity with EDA, data cleaning, statistical analysis, and visualization tools (Power BI, Tableau, Excel).
- Basic programming knowledge in Python or R is a plus.
- Strong analytical thinking and problem-solving skills.
- Able to communicate complex insights clearly to diverse teams.
- Self-motivated and detail-oriented with a passion for learning
⚠️ Important Note:
This is a direct hiring opportunity – No hidden fees or charges for applying!
About the Company
DrinkPrime is on a mission to make safe and affordable drinking water accessible to every Indian household. It started as a solution to unreliable water supply and has grown into a tech‑first, subscription‑based purifier model leveraging IoT and data insights to transform water consumption across the country.
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