[Hiring] Senior Data Analyst @GroundTruth

Role Description

This role involves providing analytical support to multiple stakeholders by developing scalable analytical solutions, identifying problems, and monitoring KPIs to measure the impact of product improvements.

• 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 problems
• Put tested hypotheses 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 the objective/business context of various projects

Qualifications

• B.Tech degree (4 year) in Computer Science, Statistics, Mathematics, Economics or related fields
• 4+ to 6 years of experience in working with data and conducting statistical and/or numerical analysis
• Ability to write SQL code, Strong understanding of statistics
• Scripting/automation using R/Python
• Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
• Hands-on experience in data visualization tools like Looker/Tableau/Quicksight

Requirements

• 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

Preferred Qualifications

• Cross-functional background with experience in software development/data engineering role
• Experience working with large datasets
• 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 Breakfast, Lunch, Snacks and 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 referral program
• Education reimbursement program
• Skill development program
• Cell phone reimbursement (Mobile Subsidy program)
• Internet reimbursement/Postpaid cell phone bill/or both
• Birthday treat reimbursement
• Employee Provident Fund Scheme offering different tax saving options such as Voluntary Provident Fund and employee and employer contribution up to 12% Basic
• Creche reimbursement
• Co-working space reimbursement
• National Pension System employer match
• Meal card for tax benefit
• Special benefits on salary account