Senior Data Analyst & ML

About this role

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 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 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 You Have: Technical Skills (Must have) 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 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 How you can Impress us: Cross functional background with experience in software development/data engineering role Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Exposure to AWS infra like lambda, step functions, Glue, EMR, exposure to Pyspark Experience working with large datasets Thorough understanding of machine learning concepts Requirements Benefits 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. 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