Data Analytics Engineer

Candidates report a three‑stage process: an initial timed aptitude test focusing on SQL and Python, followed by a technical interview that includes case‑study discussions and dashboard design, and finally an HR round assessing cultural fit. The difficulty is moderate; thorough preparation on data cleaning and visualization helps.

ISA fosters a collaborative culture where learning is encouraged through regular tech talks and mentorship programs. Employees enjoy a balanced work‑life schedule with flexible remote‑working options and clear growth pathways.

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline. Minimum 60% aggregate (or CGPA 6.5/10). Final year students of 2025/2026 batches are eligible. Maximum one active backlog allowed. Strong foundation in SQL, Python/R, and data visualization is mandatory.

Round 1: Online aptitude & technical test (SQL & Python) → Round 2: Technical interview (case studies, data modeling, visualization) → Round 3: HR interview (cultural fit, motivations)

Information Systems Associates Private Limited (ISA) is a fast‑growing technology services firm headquartered in Pune. With a strong focus on digital transformation, ISA partners with enterprises across banking, insurance, and retail to deliver end‑to‑end data solutions. The company prides itself on a culture of continuous learning, encouraging employees to experiment with emerging AI and analytics tools while delivering measurable business value. Over the past few years, ISA has expanded its footprint to multiple Indian metros and has been recognized for its collaborative work environment and employee‑first policies. As a Data Analytics Engineer at ISA, you will be at the heart of the organization’s data ecosystem. Reporting to the Data, Innovation & AI department, you will collaborate closely with data engineers, scientists, and business analysts to build robust pipelines, create insightful visualisations, and turn raw data into strategic assets. The role offers a blend of hands‑on technical work and stakeholder interaction, making it ideal for fresh graduates who are eager to apply classroom knowledge to real‑world problems. **Key Responsibilities** 1. Conduct exploratory data analysis on large, heterogeneous datasets to uncover trends and patterns. 2. Develop and deploy statistical models and machine‑learning algorithms for predictive insights. 3. Design interactive dashboards and reports using Tableau, Power BI, or similar tools. 4. Work with data engineering teams to integrate, transform, and cleanse data from multiple sources. 5. Perform data profiling, validation, and quality checks to ensure reliability. 6. Gather requirements from business stakeholders and translate them into analytical deliverables. 7. Automate routine reporting workflows, including scheduling and alert mechanisms. 8. Communicate findings and actionable recommendations to both technical and non‑technical audiences. 9. Stay updated on industry best practices, new analytics frameworks, and emerging technologies. 10. Contribute to continuous improvement of the analytics process and documentation. **Tech Stack**: SQL, Python (pandas, NumPy, scikit‑learn), R, Tableau/Power BI, Git, Linux, basic cloud services (AWS/GCP), Docker (optional). **Growth Path**: Starting as a Data Analytics Engineer, high performers can progress to Senior Analyst, Lead Data Analyst, and eventually to Data Product Manager or Analytics Architect roles within 3‑5 years, depending on skill acquisition and project impact. **Why Join ISA?** ISA offers a vibrant learning environment, mentorship from seasoned data professionals, and exposure to cross‑industry projects. The company’s emphasis on work‑life balance, flexible WFH policies, and regular up‑skilling workshops make it an attractive launchpad for fresh talent aiming to build a long‑term career in data analytics.