Live opening · Posted 15 hours ago

Junior Analytics Engineer

DataVinci & Growth · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 15 hours ago
CompanyDataVinci & Growth
LocationIndia (Remote)
Work modeYes
SkillsPython, AWS, Azure, GCP, Power BI, Tableau
SourceLinkedin
Listed15 hours ago

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About the role

Description supplied by the original job listing.

Location: Remote
Compensation: 25k/month - For Probation Period (i.e. 3 months)
If the probation is cleared, then 6 L.P.A
Employment Type: Full-Time
Flexible working hours
Working Days - 5 Days/Week (Weekends Off)
Bond - 1 Year
Please NOTE: Apply for this job only if you have hands-on experience with Cloud Concepts, GCP, AWS, or Azure, etc.
Key Responsibilities:
1. Work closely with the data lead to prepare, clean, and transform backend data for reporting and automation use cases.
2. Assist in building visually clean, client-facing dashboards (Looker Studio, Power BI, etc.)
3. Write and optimize SQL queries for performance and clarity across projects
4. Understand API structures and assist in fetching, interpreting, and preparing API data for pipelines.
5. Help document logic, metric definitions, and stakeholder-friendly explanations
6. Support audits, testing, and validation across data pipelines and visualization layers.
7. Stay curious and learn quickly; this role will grow with you.
Other requirements:
1. Bachelor's degree in computer science, data analytics, information systems, or a related field, or equivalent practical experience.
2. Strong proficiency in SQL, including joins, filters, aggregations, and window functions.
3. Familiarity with APIs, JSON, and basic GET/POST requests.
4. Strong analytical skills and the ability to work with raw data.
5. Good written communication and documentation skills.
6. Knowledge of Looker Studio, Power BI, or Tableau.
7. Proficiency in Google Sheets or Microsoft Excel.
8. Understanding of cloud platforms, databases, and data engineering concepts.
9. Basic knowledge of Google Cloud Platform (GCP) and BigQuery is preferred.
10. Familiarity with Python for data formatting, API integration, or automation is an advantage.
Please Note: This role may occasionally require working night shifts based on client or project requirements. Candidates who are comfortable working flexible shifts, when needed, are encouraged to apply.
Please note that candidates are strictly advised not to directly contact or spam any DataVinci employee, HR team member, or senior management via email, phone, WhatsApp, LinkedIn, or any other channel regarding their application.
Any misuse of employees' personal/professional contact details or repeated unsolicited communication may result in immediate rejection and permanent disqualification from future DataVinci hiring processes. Where applicable, such misuse may also be reported to Internshala for appropriate action under its policies.
Due to the high volume of applications, our hiring process may take time. If you do not receive an update within 15-20 days of applying, please consider your application unsuccessful for the current role.
Please do not spam the HR team or other employees for application updates. Shortlisted candidates will be contacted through the appropriate recruitment channel.

Work arrangement
Yes

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