Data Analyst

CogniApt

India0–2 yrs4m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 2 years
Must know
Data analysisData visualizationOperationsSQLExcelStatistics
Nice to have
PythonPandas
Work
Remote
Pay
Not stated by the employer.
Skill demand
Data analysis87%Data visualization69%SQL66%Operations20%of 111 similar fresher jobs posted in India this week
Listed
2 Nov 2026 · still open

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About the Role

As the first Data Analyst at CogniApt, you will transform assessment data into actionable reports for principals, insights for question paper development, and metrics for growth guidance. This is a fully remote role, working directly with the founders and taking ownership of analytics from the outset.

Key Responsibilities

  • Analyse assessment results at the student, class, school, and district levels to produce school reports.
  • Conduct item analysis (difficulty, discrimination, distractor performance) and provide feedback to the paper-setting team.
  • Monitor the distribution of AI Composite Scores (ACS) and tiers, flagging anomalies.
  • Build and maintain dashboards for internal teams and partner schools.
  • Track business metrics, including school pipeline, participation, completion rates, and growth.
  • Clean and structure data from the platform, outreach, and operations.
  • Summarize analyses clearly and concisely for non-technical audiences.

Requirements & Tech Stack

  • Strong SQL and Excel/Google Sheets skills.
  • Python (pandas) is preferred.
  • Familiarity with basic statistics, including distributions, percentiles, and correlation.
  • Experience with a visualization tool such as Looker Studio, Power BI, Tableau, or Metabase.
  • Clear written communication skills for explaining data to non-technical stakeholders.
  • Self-driven and comfortable working remotely, with availability during IST working hours.
  • Interest in AI and education.

Qualifications

  • 0–2 years of experience in an analytics role.
  • Strong freshers are welcome.

Good to Have

  • Exposure to psychometrics, item response theory, or education data.
  • Experience in an early-stage startup.

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