Data Analyst

About the Company

Patil Group is one of India's leading infrastructure, engineering, and technology-driven manufacturing groups with a strong legacy of delivering high-quality solutions for the nation's railways, transportation, and industrial sectors. With decades of industry expertise, the Group has established itself as a trusted partner to Indian Railways, Metro Rail, and major public and private sector organizations. Patil Group is known for its commitment to innovation, precision engineering, and large-scale manufacturing excellence across railway track systems, sleepers, signaling components, and advanced engineering products.

Driven by a culture of integrity, continuous improvement, and customer focus, Patil Group empowers its employees with opportunities to build impactful solutions that contribute to India's growth. The organization encourages learning, collaboration, and the adoption of modern technologies, making it an ideal workplace for professionals who aspire to grow with a dynamic and future-ready industry leader.

About the Role

The Data Analyst will support data-driven decision-making through advanced data analysis, machine learningbased insights, and high-quality visualization & reporting. The role involves working closely with the Director/ApnaTech to generate actionable insights, evaluate AI/ML outputs, validate analytical models, and deliver dashboards and reports essential for product, operational, engineering, and strategic initiatives.

Responsibilities

• AI/ML-Based and Statistical Data Analysis
• Perform exploratory data analysis (EDA) to identify patterns, anomalies, and performance trends.
• Conduct feature engineering and data preprocessing for analytical and ML workflows.
• Evaluate AI/ML model outputs, metrics, and performance.
• Prepare structured analysis reports for model behaviour, accuracy, and improvement opportunities.
• Support experiments involving ML algorithms to extract insights relevant for product and engineering teams.
• Data Visualization & Reporting
• Develop and maintain dashboards and visual reports using tools like Power BI / Tableau.
• Automate recurring reports and ensure accuracy, consistency, and reliability of analytical outputs.
• Present clear insights, trends, and recommendations to senior leadership using data-driven storytelling.
• Prepare documentation, executive summaries, and visual narratives for product, R&D, and strategy teams.
• Ensure timely delivery of reports and analytics aligned with internal SLAs.

Qualifications

Bachelor's Degree (B.E / B.Tech) in Engineering with proven academic data science credentials.

Required Skills

• Strong programming knowledge in Python (Pandas, NumPy, Scikit-learn).
• Proficiency in SQL and handling structured/unstructured datasets.
• Ability to build dashboards using Power BI / Tableau.
• Solid grounding in statistics and analytical modelling.
• Competence in evaluating AI/ML models and interpreting outputs.
• High analytical thinking and mathematical acumen.
• Attention to detail with strong documentation and communication skills.

Preferred Skills

Experience Required: 4-6 years in the core sector.