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Senior Data Analyst

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

4 year B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields, 5+ to 8 years experience in data analysis, Proficient in SQL and R/Python scripting, Strong understanding of statistics and data visualization tools.

Key responsabilities:

Define measurable metrics and provide recommendations
Own work streams and present findings from data

GroundTruth Marketing & Advertising SME https://www.GroundTruth.com/

201 - 500 Employees

See all jobs

Job description

A bit about us

GroundTruth is a media platform that drives in-store visits and other real business results. Using observed real-world consumer behavior, including location and purchase data, we create targeted advertising campaigns across all screens for advertisers. We then measure how consumers respond to the campaigns, including if they physically show up to a store location or website, to understand the real business results generated by a brand’s advertising.

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. Learn more about the perks of joining our team here.

Role : Senior Data Analyst

Location : Remote, India

Role Characteristics:

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

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

Technical Skills (Must have)

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

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
Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
Basic understanding of machine learning concepts
Experience in geo-spatial analysis with POSTGIS, QGIS

What we offer

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 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

We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To ensure your application is properly reviewed, we kindly ask that you submit your resume and optional cover letter through the designated application portal. Applications submitted via the "Contact Us" form on our website will not be considered.