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Data Analyst

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 : 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:

  • Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics
  • Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering
  • Derive insights and putting them together to build a story to solve a given problem 
  • Suggest ways for process improvements in terms of script optimization, automating repetitive tasks 
  • Create and automate reports and dashboards through Python to track certain metrics basis given requirements 
  • Automate reports and dashboards through Python

Technical Skills (Must have)

  • 4 year B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields
  •  2-4 years of experience in working with data and conducting statistical and/or numerical analysis
  •  Ability to write SQL code
  •  Scripting/automation using python
  •  Hands on experience in data visualisation tool like Looker/Tableau/Quicksight
  • Basic to advance level understanding of statistics

Other Skills (Must have)

  • Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
  • Strong oral and written communication 
  • Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) 
  • Experience working with large datasets
  • Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) 

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.

Average salary estimate

$65000 / YEARLY (est.)
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$50000K
$80000K

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What You Should Know About Data Analyst, GroundTruth Careers

Are you ready to join a dynamic team as a Data Analyst at GroundTruth? We're a media platform that's transforming how advertisers measure real business outcomes through innovative technology. As a Data Analyst, you’ll be instrumental in providing analytical support to various stakeholders, including Product, Engineering, Business Development, and Ad Operations. Your role will involve digging deep into large datasets, performing root cause analysis, and identifying trends to help drive product improvements. We use cutting-edge AWS analytics infrastructure like Redshift and S3, so you won’t just be crunching numbers; you’ll be harnessing location data to tell powerful stories that resonate with consumers. This fantastic opportunity allows you to automate reporting through Python, optimize processes, and collaborate with talented colleagues to guide impactful decisions. If you’re passionate about understanding human behavior, have a knack for communication, and are eager to grow in a fast-paced startup, GroundTruth could be the perfect fit for you. With perks like flexible time off and comprehensive health coverage, we take care of our team to ensure you can focus on what you do best. Explore more about the perks of joining GroundTruth and become part of our mission to drive in-store visits and meaningful business results today!

Frequently Asked Questions (FAQs) for Data Analyst Role at GroundTruth Careers
What responsibilities does a Data Analyst have at GroundTruth?

The Data Analyst at GroundTruth is responsible for performing root cause analysis, understanding business contexts, deriving insights from data, suggesting process improvements, and automating reports and dashboards using Python. This role requires collaboration with various stakeholders to drive impactful decisions and measure success through KPIs.

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What qualifications are needed for a Data Analyst at GroundTruth?

Candidates for the Data Analyst position at GroundTruth should have a B.Tech degree in Computer Science, Statistics, Mathematics, or related fields, along with 2-4 years of experience working with data. Proficiency in SQL, Python scripting, and using data visualization tools like Tableau or Looker is essential.

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What technical skills should a Data Analyst possess to succeed at GroundTruth?

To succeed as a Data Analyst at GroundTruth, you'll need to be skilled in SQL, Python for automation and reporting, and familiar with AWS analytics services such as Redshift and S3. A clear understanding of statistical analysis and data visualization tools is also crucial to effectively interpret and communicate data insights.

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What is the work environment like for a Data Analyst at GroundTruth?

The work environment for a Data Analyst at GroundTruth is flexible and remote, fostering a culture that values collaboration and innovation. Working in a startup atmosphere, you'll have significant opportunities for growth and be surrounded by talented individuals who are passionate about leveraging data to effect real business change.

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What growth opportunities are available for Data Analysts at GroundTruth?

GroundTruth provides numerous opportunities for growth for Data Analysts. As you work with large datasets and advanced analytical techniques, you'll enhance your skills and gain valuable experience. The dynamic nature of the startup environment encourages professional development and hands-on learning across multiple business functions.

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Common Interview Questions for Data Analyst
Can you describe a complex data analysis project you handled as a Data Analyst?

When answering this question, focus on a specific project, detailing the objective, the tools and methods you used, and the final outcomes. Highlight your thought process in tackling the project and how it benefited the organization.

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How do you approach root cause analysis for unexpected data anomalies?

In your response, explain your systematic approach to root cause analysis. Discuss the steps you take to investigate anomalies, including data validation, stakeholder consultations, and methodological checks to ensure accurate diagnosis and resolution.

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What statistical methods do you commonly use in your data analysis, and why?

Provide specific examples of statistical methods you’ve used, such as regression analysis or hypothesis testing. Explain how these methods help draw insights from data and your principle reasoning behind choosing one method over another in different scenarios.

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Explain how you would automate reporting tasks using Python.

Detail the steps to automate reporting, including data extraction, transformation, and loading (ETL) processes, along with using libraries like Pandas or Matplotlib for visualization. Emphasize efficiency and accuracy in your automation plans.

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How do you ensure data accuracy and integrity in your analysis?

Discuss techniques to ensure data accuracy, such as cross-verification, data cleansing processes, and using validation rules. Mention the importance of documenting your methodology for reproducibility.

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Can you give an example of how your analysis influenced a business decision?

Share a specific instance where your analysis was pivotal in guiding a decision. Outline the data-driven insights you provided and how they impacted the project's direction or outcomes.

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How do you communicate complex data findings to non-technical stakeholders?

Describe your strategy for simplifying complex data findings into an easily digestible format. Highlight the importance of visualization tools and storytelling techniques to make data relatable to a broader audience.

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What experience do you have with data visualization tools?

Detail your proficiency with data visualization tools like Tableau or Looker. Mention specific projects where you utilized these tools to convey insights and the decisions they helped inform.

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What challenges have you faced while working with large datasets?

Reflect on challenges like data quality issues, processing speed, and the complexity of analysis. Highlight the solutions you implemented to overcome these challenges, such as optimizing queries or leveraging cloud services.

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Why do you want to work as a Data Analyst for GroundTruth?

Express your enthusiasm for GroundTruth's mission and the opportunity to leverage data to improve advertising effectiveness. Relate your skills and experiences to the role, indicating is a good match for your career aspirations.

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Founded in 2009, Ground Truth is a company that provides location-based marketing and advertising platform for publishers and developers. Ground Truth is located in California.

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Full-time, remote
DATE POSTED
December 13, 2024

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