Data Analytics Associate – Fresher

Candidates typically face a three‑stage process: an online aptitude test focusing on quantitative, logical and verbal ability; a technical interview that probes Python, SQL, and data‑visualization concepts through problem‑solving and case studies; followed by an HR round that assesses cultural fit and communication skills. The difficulty is moderate, and thorough preparation of core analytics tools and mock interviews greatly improves success chances.

Shine.com is known for a dynamic work culture that balances performance expectations with employee well‑being. The platform encourages continuous learning, offers regular up‑skilling webinars, and promotes a collaborative environment where fresh talent can interact with experienced professionals. Employees often cite good work‑life balance and clear growth pathways as key strengths.

Graduates (B.Tech/B.E., B.Sc., B.Com, or equivalent) from any discipline with a minimum of 60% aggregate. Final year students of the 2025‑2026 batch are eligible. No active backlogs at the time of joining. Strong analytical mindset and basic knowledge of Python/SQL is preferred.

Round 1: Aptitude Test → Round 2: Technical Interview (Python, SQL & case study) → Round 3: HR Interview

Apex I Soft Technologies is an emerging IT services and solutions provider headquartered in Pune, India. The company specializes in delivering end‑to‑end data‑driven products for clients across banking, retail, healthcare and manufacturing sectors. With a focus on leveraging modern analytics platforms, Apex I Soft has built a reputation for turning raw data into actionable business insights, helping organizations improve decision‑making and operational efficiency. The firm’s culture encourages continuous learning, collaborative problem‑solving, and a strong emphasis on innovation, making it an attractive destination for fresh talent looking to start a career in data analytics. The role of Data Analytics Associate is designed for recent graduates who are eager to apply their academic knowledge in a real‑world environment. As a fresher, you will be mentored by senior analysts and will get hands‑on exposure to the complete analytics lifecycle – from data extraction and cleaning to visualization and storytelling. This position offers a solid foundation in both technical and business aspects of analytics, preparing you for future growth into senior analyst, data scientist or analytics manager roles. **Key Responsibilities** 1. Utilize Python and SQL to extract, clean, and transform large datasets for business analysis. 2. Perform in‑depth data analysis and create visualizations using Power BI and Tableau. 3. Collaborate with cross‑functional teams to identify key performance indicators and develop data‑driven strategies. 4. Design, develop, and maintain interactive dashboards and periodic reports for senior leadership. 5. Conduct ad‑hoc analysis to support decision‑making and problem‑solving initiatives. 6. Document data pipelines, analytical methodologies, and findings for knowledge sharing. 7. Stay updated with industry trends, emerging tools, and best practices in data analytics and data science. 8. Communicate insights and recommendations clearly to both technical and non‑technical stakeholders. 9. Participate in data‑quality audits and suggest improvements to data governance processes. 10. Assist in building predictive models and basic statistical analyses as required. **Tech Stack**: Python (pandas, numpy), SQL (MySQL/PostgreSQL), Power BI, Tableau, Excel, Git, basic statistics. **Growth Path**: Starting as an Associate, high performers can progress to Senior Analyst, then to Analytics Lead, and eventually to roles such as Data Scientist or Analytics Manager. The company also supports certifications (e.g., Microsoft Power BI, Tableau Desktop) and internal training programs. **Why Join Apex I Soft Technologies?** The organization offers a vibrant learning environment, exposure to diverse industry domains, and a clear career roadmap. Freshers receive mentorship, regular up‑skilling sessions, and the chance to work on live projects that have a tangible impact on client businesses. Competitive salary, performance‑linked incentives, and a collaborative culture make it an ideal launchpad for a data‑analytics career.