Senior Data Analyst

GroundTruth

Job Overview

Location

Remote

Employment Type

Full-time

Work Arrangement

Remote

Sector

Data & Analytics

Experience Level

Senior (5-8 years)

Application Deadline

July 30, 2026

About the Company

GroundTruth is a leading advertising platform that transforms real-world consumer behavior into effective marketing strategies, driving tangible business results like in-store visits. By analyzing location and purchase data, GroundTruth crafts targeted advertising campaigns across various screens. They excel at measuring consumer responses and uncovering unique insights to optimize marketing efforts. The company is committed to fostering innovation through top talent and has been recognized as one of Ad Age’s Best Places to Work for multiple consecutive years. GroundTruth provides marketers with powerful tools to deliver campaigns that yield measurable impact, including increased sales and store traffic.

Job Description

GroundTruth is a leading advertising platform dedicated to transforming real-world consumer behavior into impactful marketing strategies that drive measurable business results, including increased in-store visits.

The company leverages observed consumer behavior, encompassing location and purchase data, to develop highly targeted advertising campaigns across all digital screens. GroundTruth excels in measuring consumer responses and uncovering unique insights to optimize current and future marketing initiatives.

With a strong focus on media, measurement, and insights, GroundTruth empowers marketers with tools designed to deliver campaigns that produce significant, measurable outcomes, such as enhanced sales and foot traffic.

GroundTruth believes that innovative technology is built on exceptional talent and has been consistently recognized as one of Ad Age’s Best Places to Work. The company offers a dynamic environment where employees can thrive and grow.

The Analytics team plays a crucial role in providing analytical support to various stakeholders, including Product, Engineering, Business Development, and Ad Operations. This involves developing scalable analytical solutions, identifying critical business problems, defining key performance indicators (KPIs), and monitoring them to assess the success of product improvements and streamline processes.

This role presents an exciting and challenging opportunity to work with extensive datasets, engage with cutting-edge analytical techniques, and utilize the latest AWS analytics infrastructure, including Redshift, S3, and Athena. You will gain valuable experience in applying location data to drive business growth within a dynamic startup environment, offering significant opportunities for career advancement.

Successful candidates will demonstrate a passion for technology and a deep curiosity about real-world human behavior. Excellent communication skills, the ability to synthesize and present complex information effectively, and a proactive learning attitude are essential.

Key Responsibilities:

Define and implement measurable metrics and variables for analyzing business problems, providing actionable recommendations.
Take full ownership of work streams, independently generating insightful findings from data.
Proactively identify issues within specific areas and develop effective solutions.
Formulate hypotheses to conduct thorough root cause analysis.
Synthesize tested hypotheses into compelling narratives and analyses for presentation to stakeholders.
Perform data preparation, including exploratory data analysis (EDA) and feature engineering.
Understand and apply supervised and unsupervised learning models.
Utilize evaluation metrics to assess model accuracy, precision, and recall.
Apply experience in root cause analysis, segmentation, clustering, linear regression, and forecasting.
Collaborate with data science and data engineering teams to adopt and implement best coding practices.
Engage with cross-functional teams to understand project objectives and business context.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

SQLPythonData VisualizationStatisticsRoot Cause AnalysisJupyter NotebooksLookerTableauQuicksight

Key Responsibilities

Define proper measurable metrics/variables for analyzing 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
Data Preparation: Exploratory Data Data Analysis (EDA) and feature engineering.
Supervised vs. Unsupervised Learning: Understanding models that learn from labeled data (e.g., classification, regression) vs. discovering patterns in unlabeled data (e.g., clustering).
Evaluation Metrics: Knowing how to test model accuracy, precision, and recall
Has done one/many of these in previous/existing role: Root cause analysis, segmentation, clustering, linear regression, forecasting etc.
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

Qualifications

B.Tech degree (4 year) in Computer Science, Statistics, Mathematics, Economics or related fields
6 to 8 years of experience in working with data and conducting statistical and/or numerical analysis
Ability to write SQL code (Advanced level)
Strong hands-on experience on Python
Using Jupyter Notebooks for EDA, root cause analysis
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
Cross functional background with experience in software development/data engineering role (Nice to have)
Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) (Nice to have)
Exposure to AWS infra like lambda, step functions, Glue, EMR, exposure to Pyspark (Nice to have)
Experience working with large datasets (Nice to have)
Thorough understanding of machine learning concepts (Nice to have)

Benefits & Perks

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.
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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The Indian analytics landscape is experiencing robust growth, driven by increasing data adoption across industries. This role is pivotal in leveraging advanced analytical techniques to extract actionable insights from complex datasets. You will focus on areas such as API integrations, data visualization, and statistical modeling to drive business outcomes. Your impact will be measured by your ability to influence strategic decisions, optimize marketing ROI, and contribute to the scalability of analytical solutions within a dynamic tech environment.