
Eligibility Criteria
Bachelorโs degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics or related field; minimum 60% aggregate; graduating batch 2023โ2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Job Description & Key Responsibilities
Data Eminence is a fastโgrowing analytics consultancy that helps enterprises turn raw data into strategic advantage. Founded by a team of seasoned data scientists, the company blends traditional statistical methods with cuttingโedge AI tools to deliver actionable insights across sectors such as finance, eโcommerce, and healthcare. With a culture that encourages continuous learning, Data Eminence invests heavily in upโskilling its talent through certifications, internal hackathons, and mentorship programs. The firmโs remoteโfirst policy allows employees to work from anywhere in India while staying connected through collaborative platforms and regular virtual meetโups.
As a Data Analyst (Contract) at Data Eminence, you will be at the heart of the dataโtoโdecision pipeline. You will ingest raw datasets, cleanse and transform them, and build visual narratives that guide product, marketing, finance, and technology teams. The role offers handsโon exposure to the full analytics stack โ from Excelโbased explorations to SQL queries, Python scripting, and modern BI tools such as Power BI and Tableau. You will also get a chance to experiment with AIโpowered analytics platforms, automating routine tasks and uncovering hidden patterns.
Key Responsibilities:
1. Collect, aggregate, and validate data from multiple internal and external sources.
2. Perform data cleaning, normalization, and enrichment to ensure highโquality inputs.
3. Conduct exploratory analysis to identify trends, outliers, and business opportunities.
4. Design and develop interactive dashboards and visual reports using Power BI or Tableau.
5. Generate adโhoc analytical reports to support strategic decisionโmaking.
6. Collaborate with crossโfunctional teams to translate business questions into analytical solutions.
7. Document data pipelines, methodologies, and findings for reproducibility.
8. Explore and prototype AIโdriven analytics and automation tools to improve efficiency.
9. Communicate insights clearly through presentations and written summaries.
10. Maintain data accuracy and adhere to governance standards.
Tech Stack: Microsoft Excel, SQL, Python (Pandas, NumPy), Power BI, Tableau, basic statistical methods, relational databases, and exposure to AIโanalytics platforms.
Growth Path: Starting as a contract analyst, high performers can transition to fullโtime roles, progress to Senior Analyst, then to Analytics Lead or Product Analytics Manager, with opportunities to specialize in data engineering or AIโdriven analytics.
Why Join Data Eminence? You will work on realโworld projects that impact business outcomes, gain mentorship from industry veterans, and enjoy the flexibility of remote work while being part of a collaborative, innovationโdriven community. The companyโs commitment to professional development ensures you stay ahead of the rapidly evolving data landscape.