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Senior Data AnalystGroundTruth • New York, New York, United States
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Senior Data Analyst

GroundTruth
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

GroundTruth is an advertising platform that turns real-world behavior into marketing that drives in-store visits and other real business results. We use observed real-world consumer behavior, including location and purchase data, to create targeted advertising campaigns across all screens, measure how consumers respond, and uncover unique insights to help optimize ongoing and future marketing efforts.
With this focus on media, measurement, and insights, we provide marketers with tools to deliver media campaigns that drive measurable impact, such as in-store visits, sales, and more.
Learn more at groundtruth.com.
We believe that innovative technology starts with the best talent and have been ranked one of Ad Age’s Best Places to Work in 2021, 2022, 2023 & 2025! Learn more about the perks of joining our team here.
A bit about Analytics team Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes.
This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organisation.
A successful applicant will be passionate about technology and developing a deep understanding of human behaviour in the real world. They would also have excellent communication skills, be able to synthesise and present complex information and be a fast learner.
Location: Remote, India
You will:
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
Minimum Qualifications: Technical Skills (Must have)
B.Tech degree (4 year) in Computer Science, Statistics, Mathematics, Economics or related fields
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 visualisation tool like Looker/Tableau/Quicksight
Other Skills (Must have)
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 (Nice to have)
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
At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.
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
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  • New York, New York, United States

Compétences linguistiques

  • English
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