Senior Data Analyst

Summary

Join GroundTruth, a media platform driving in-store visits and real business results, as a Senior Data Analyst working remotely from India. You will leverage large datasets and cutting-edge analytical techniques within our AWS analytics infrastructure. This challenging role involves defining metrics, identifying problems, framing hypotheses, and presenting analyses to stakeholders. You will collaborate with data science and engineering teams, contributing to product improvements and process streamlining. GroundTruth offers a dynamic startup environment with significant growth opportunities and a comprehensive benefits package.

Requirements

• 4 year B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields
• 5+ to 8 years of experience in working with data and conducting statistical and/or numerical analysis
• Ability to write SQL code
• Scripting/automation using R/ python
• Strong understanding of statistics
• Hands on experience in data visualisation tool like Looker/Tableau/Quicksight
• Strong understanding of patterns/trends and draw insights from those
• Ability to tell a good story and support it with numbers and visuals
• Strong hold of handling instances that require root cause analysis/investigatory analysis
• Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
• Go out of your way to help team members enhance technical skills
• Strong oral and written communication

Responsibilities

• Define proper measurable metrics/variables for analyzing a business problem and provide actionable recommendations
• Own a work stream completely, come up with interesting findings from data on your own
• Identify problems within an area and find solutions to it
• Frame out various hypotheses to solve root cause analysis problem
• Put tested hypothesis together to present a story/analysis to larger group/stakeholders
• Actively work/coordinate with data science/ data engineering to understand best practices used for coding/scripting and implement them within the team
• Actively discuss with different teams (Product, data science) to understand objective/business context of various projects

Preferred Qualifications

• Cross functional background with experience in software development/data engineering role
• Experience working with large datasets
• Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
• Basic understanding of machine learning concepts
• Experience in geo-spatial analysis with POSTGIS, QGIS

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