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 query writing, data manipulation, and statistical concepts. The final HR round assesses cultural fit, communication skills, and career aspirations. Overall difficulty is moderate, and thorough preparation on SQL and case‑based analytics questions helps candidates succeed.

ShrinQ Consulting Group promotes a learning‑first culture where analysts are encouraged to experiment and share knowledge. The firm offers clear growth pathways, regular upskilling workshops, and a balanced work schedule that respects personal time. Employees often cite supportive managers and a collaborative team spirit as key strengths.

Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, Economics or a related quantitative field. Minimum 60% aggregate (or CGPA 6.0/10) in the qualifying degree. No active backlogs at the time of joining. Fresh graduates as well as candidates with 1‑2 years of relevant data analysis experience are eligible. Preference given to candidates from the 2023‑2025 batch.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Data Analytics, Statistics) → Round 3: HR Interview

ShrinQ Consulting Group is a fast‑growing analytics‑focused consulting firm that helps enterprises across manufacturing, retail, and financial services turn raw data into actionable business strategies. Founded a few years ago, the company has built a reputation for delivering high‑impact insights through a blend of statistical rigor and modern visualization techniques. With offices in major Indian metros and a client base that spans startups to Fortune 500 companies, ShrinQ prides itself on a collaborative environment where curiosity is rewarded and continuous learning is part of the daily routine. The firm’s culture revolves around data‑driven decision making, encouraging every employee to ask the right questions and challenge assumptions. Employees enjoy a flat hierarchy, regular knowledge‑sharing sessions, and mentorship programs that accelerate professional growth. Work‑life balance is respected, with flexible timings and occasional remote days, allowing analysts to maintain productivity without compromising personal commitments. **Role Summary** As a Data Analyst at ShrinQ, you will be the analytical backbone for multiple business units. Your primary mission is to translate complex data sets into clear, concise visual stories that empower stakeholders to make informed decisions. You will work closely with product managers, operations heads, and senior leadership to identify pain points, design analytical frameworks, and deliver insights that drive revenue, efficiency, and customer satisfaction. **Key Responsibilities** 1. Understand day‑to‑day business challenges and translate them into analytical problems. 2. Gather, clean, and integrate data from heterogeneous sources such as relational databases, CSV files, and APIs. 3. Perform exploratory data analysis to uncover trends, outliers, and hidden patterns. 4. Develop and maintain SQL queries and stored procedures for recurring reporting needs. 5. Build interactive dashboards and visualizations using tools like Tableau or Power BI to present findings in an intuitive manner. 6. Conduct ad‑hoc deep‑dive analyses to answer specific business questions and support strategic initiatives. 7. Document analytical methodology, assumptions, and results to ensure reproducibility and knowledge transfer. 8. Collaborate with cross‑functional teams to implement data‑driven recommendations and monitor their impact. 9. Stay updated with emerging analytics techniques, statistical methods, and visualization best practices. 10. Participate in regular review meetings, presenting insights and actionable recommendations to senior leadership. **Tech Stack**: SQL, Python (pandas, numpy), Excel, Tableau/Power BI, basic statistical packages (R or Python’s statsmodels). **Growth Path**: Junior Analyst → Analyst → Senior Analyst → Lead Analyst → Analytics Manager → Director of Analytics. The firm encourages certifications (e.g., Tableau Desktop Specialist, Google Data Analytics) and offers internal training to fast‑track career progression. **Why Join ShrinQ**: You will work on real‑world problems for high‑profile clients, gain exposure to end‑to‑end analytics workflows, and be mentored by industry veterans. The supportive culture, clear promotion ladder, and emphasis on work‑life harmony make ShrinQ an ideal launchpad for ambitious data professionals.