Data Analyst

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑40 minutes, followed by a technical interview focusing on SQL queries, data manipulation in Python, and visualization concepts. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate; thorough preparation on data fundamentals and clear articulation of past projects greatly improve chances.

Data Eminence promotes a results‑oriented yet flexible work culture where employees are encouraged to experiment and share ideas. The remote‑first setup ensures work‑life balance, while regular virtual sync‑ups and knowledge‑sharing sessions foster a sense of community and continuous growth.

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics or related field; minimum 60% aggregate; graduating batch 2023‑2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL, Python, Data Visualization) → Round 3: HR Interview

Data Eminence is a fast‑growing 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 cutting‑edge AI tools to deliver actionable insights across sectors such as finance, e‑commerce, and healthcare. With a culture that encourages continuous learning, Data Eminence invests heavily in up‑skilling its talent through certifications, internal hackathons, and mentorship programs. The firm’s remote‑first policy allows employees to work from anywhere in India while staying connected through collaborative platforms and regular virtual meet‑ups. As a Data Analyst (Contract) at Data Eminence, you will be at the heart of the data‑to‑decision 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 hands‑on exposure to the full analytics stack – from Excel‑based 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 AI‑powered 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 high‑quality 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 ad‑hoc analytical reports to support strategic decision‑making. 6. Collaborate with cross‑functional teams to translate business questions into analytical solutions. 7. Document data pipelines, methodologies, and findings for reproducibility. 8. Explore and prototype AI‑driven 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 AI‑analytics platforms. Growth Path: Starting as a contract analyst, high performers can transition to full‑time roles, progress to Senior Analyst, then to Analytics Lead or Product Analytics Manager, with opportunities to specialize in data engineering or AI‑driven analytics. Why Join Data Eminence? You will work on real‑world projects that impact business outcomes, gain mentorship from industry veterans, and enjoy the flexibility of remote work while being part of a collaborative, innovation‑driven community. The company’s commitment to professional development ensures you stay ahead of the rapidly evolving data landscape.