Data Analyst

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GroundTruth

πŸ“Remote - India

Job highlights

Summary

Join GroundTruth's Analytics team as a Data Analyst and contribute to a dynamic startup environment. This remote role based in India involves developing scalable analytical solutions, identifying problems, defining KPIs, and monitoring the impact of product improvements. You will perform root cause analysis, derive insights, suggest process improvements, and create automated reports and dashboards using Python. The ideal candidate possesses strong analytical and communication skills and a passion for technology. GroundTruth offers a comprehensive benefits package including parental leave, flexible time off, health insurance, wellness programs, and various other perks.

Requirements

  • 4 year B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields
  • 2-4 years of experience in working with data and conducting statistical and/or numerical analysis
  • Ability to write SQL code
  • Scripting/automation using python
  • Hands on experience in data visualisation tool like Looker/Tableau/Quicksight
  • Basic to advance level understanding of statistics
  • Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
  • Strong oral and written communication
  • Understanding of patterns/trends and draw insights from those

Responsibilities

  • Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics
  • Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering
  • Derive insights and putting them together to build a story to solve a given problem
  • Suggest ways for process improvements in terms of script optimization, automating repetitive tasks
  • Create and automate reports and dashboards through Python to track certain metrics basis given requirements
  • Automate reports and dashboards through Python

Preferred Qualifications

  • Experience working with large datasets
  • Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)

Benefits

  • Parental leave- Maternity and Paternity
  • Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays)
  • In Office Daily Catered Lunch
  • Fully stocked snacks/beverages
  • Health cover for any hospitalization. Covers both nuclear family and parents
  • Tele-med for free doctor consultation, discounts on health checkups and medicines
  • Wellness/Gym Reimbursement
  • Pet Expense Reimbursement
  • Childcare Expenses and reimbursements
  • Employee assistance program
  • Employee referral program
  • Education reimbursement program
  • Skill development program
  • Cell phone reimbursement (Mobile Subsidy program)
  • Internet reimbursement
  • Birthday treat reimbursement
  • Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic
  • Creche reimbursement
  • Co-working space reimbursement
  • NPS employer match
  • Meal card for tax benefit
  • Special benefits on salary account

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