Intern - Product Analytics

0 - 1 years

0 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Job Type

Internship

Job Description

Description:

project44 is looking for a passionate intern to join our Data Analytics team to help drive business outcomes through analytics. You will work on real product, operations, and supply chain datasets to answer critical business and operational questions and deliver useful insights to stakeholders. You ll get exposure to end-to-end analytics, data pipelines, and decision-making processes .

What we look for:
  • Support the creation and maintenance of dashboards, reports, and alerts to monitor product and operational metrics
  • Clean, profile, and preprocess raw data for downstream use
  • Collaborate with product, operations, and engineering teams to translate business questions into analytic solutions
  • Conduct exploratory data analysis (cohorts, funnels, segmentation) to discover patterns and opportunities
  • Assist in model analytics, feature evaluation, and results interpretation in partnership with the data science team
  • Help build and maintain normalized and denormalized datasets for analytics consumption
  • Present data-driven insights and recommendations to stakeholders (technical & non-technical)
  • Document data sources, assumptions, methodology, and workflows
Required Skills
  • Proficiency in Python (pandas, NumPy)
  • Solid command of SQL (joins, aggregations, window functions)
  • Experience with a data visualization / BI tool (Tableau, Looker, Power BI, etc.)
  • Strong quantitative reasoning, problem-solving mindset, and attention to detail
  • Ability to communicate insights clearly and work with cross-functional stakeholders
  • Curiosity, self-drive, and eagerness to learn
  • Basic knowledge of statistical / experimentation methods
  • Excellent analytical thinking and problem-solving skills.
  • An experimental mindset and willingness to adopt a fail-fast strategy
Preferred / Nice-to-Have
  • Previous project or internship working with real datasets
  • Exposure to ML / model evaluation / feature engineering
  • Familiarity with cloud data platforms or data stack tools (Snowflake, BigQuery, Redshift, dbt, Airflow)
Education
  • Pursuing or recently completed a Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
What You ll Gain
  • Hands-on experience working on live data analytics projects.
  • Mentorship from experienced data analysts and engineers.
  • Exposure to modern data tools and ability to horn quantitative skills .

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