Data Analyst Jobs in India – Fresher Friendly – Hybrid Model

Filled
February 9, 2026
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Job Description

Job Summary

Progressive Technology is hiring entry-level Data Analysts who are excited about transforming raw data into meaningful business insights. This fresher-friendly, hybrid role comes with structured onboarding, mentorship, and hands-on exposure to real-world analytics projects.

If you enjoy working with numbers, spotting patterns, and telling stories through data—and you’re eager to build a long-term career in analytics—this opportunity is for you.

Key Responsibilities

  • Ingest, clean, and prepare datasets from multiple sources (CSV files, databases, APIs).
  • Build dashboards and automated reports using Power BI, Tableau, or Google Data Studio.
  • Write basic to intermediate SQL queries to extract and analyze data.
  • Perform exploratory data analysis (EDA) using Excel and Python/R to identify trends and insights.
  • Create clear visualizations and executive-ready presentations.
  • Collaborate with Product, Marketing, Operations, and Finance teams to solve business problems.
  • Document data definitions, logic, and methodologies for accuracy and reproducibility.
  • Support A/B testing, cohort analysis, and funnel analysis under senior analyst guidance.
  • Follow data governance, privacy, and security best practices.
  • Continuously upskill through internal training and self-learning initiatives.

Required Skills & Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Commerce, or related fields.
  • Strong foundation in Excel / Google Sheets (pivots, lookups, formulas, charts).
  • Working knowledge of SQL (SELECT, JOINs, GROUP BY; window functions are a plus).
  • Familiarity with Python (pandas, NumPy) or R for data analysis.
  • Understanding of basic statistical concepts (mean, median, correlation, hypothesis testing).
  • Exposure to data visualization tools (Power BI, Tableau, or equivalent).
  • Ability to communicate insights clearly to non-technical stakeholders.
  • High attention to detail and data accuracy.

Experience

  • 0–2 years of experience (internships, academic projects, or certifications accepted).
  • Final-year students and recent graduates are encouraged to apply.
  • GitHub, Kaggle projects, hackathons, or analytics certifications are a plus.

Working Hours & Model

  • 9:30 AM – 6:30 PM IST, Monday to Friday
  • Hybrid work model: 2–3 days in-office per week (team/city dependent)

Knowledge, Skills & Abilities (KSAs)

Knowledge

  • Basics of relational databases and ETL/ELT concepts
  • Introductory regression or clustering (nice to have)
  • Awareness of business metrics like CAC, LTV, churn, conversion rates

Skills

  • Data wrangling, visualization, and storytelling
  • Translating business questions into analytical solutions
  • Version control (Git) familiarity is an advantage

Abilities

  • Fast learner with a strong growth mindset
  • Ability to manage multiple tasks while maintaining quality
  • Comfortable working in a hybrid, collaborative environment

Benefits

  • Fresher-focused onboarding with a 6–8 week structured learning path
  • Dedicated mentor and analytics team support
  • Paid certifications and continuous learning programs
  • Competitive salary with performance-based growth
  • Health insurance and wellness benefits
  • Clear career progression to Senior Data Analyst, BI Developer, Product Analyst, or Data Scientist

Why Join Progressive Technology

Modern tech stack and data-driven decision-making

Work on real business problems from Day 1

Strong learning culture with hands-on ownership

Early exposure to dashboards, metrics, and analytics projects

Supportive leadership with transparent feedback