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Senior 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 :  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.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Analyst, GroundTruth Careers

Exciting opportunities await at GroundTruth as a Senior Data Analyst! If you have a passion for data and technology, our remote position in India might be just what you're looking for. At GroundTruth, we specialize in using real-world consumer behavior data to create impactful advertising campaigns that drive in-store visits and measurable business results. As part of our analytics team, you will work closely with stakeholders from various departments like Product, Engineering, and Ad Operations, developing scalable solutions and identifying key performance indicators to evaluate product success. In this fulfilling role, you will dive into large data sets and leverage cutting-edge AWS analytics infrastructure—including Redshift, S3, and Athena—while fostering your analytical skills. We’re seeking someone who not only possesses a strong technical background, including proficiency in SQL, R/Python scripting, and data visualization tools like Looker or Tableau, but who also has excellent communication skills with a knack for storytelling through data. Your insights will influence key business decisions, making your contribution vital to GroundTruth’s mission. Ready for a rewarding challenge that allows for professional growth? Join us and be part of a dynamic environment where innovative technology thrives, and your ideas can truly make an impact!

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at GroundTruth Careers
What are the responsibilities of a Senior Data Analyst at GroundTruth?

As a Senior Data Analyst at GroundTruth, you will be responsible for defining measurable metrics for analyzing business problems, providing actionable recommendations, and owning specific analytics work streams. You'll collaborate with Product, Engineering, and other stakeholders, conducting thorough data analysis to uncover insights and trends that drive strategic decisions.

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What qualifications are required to become a Senior Data Analyst at GroundTruth?

To qualify for the Senior Data Analyst role at GroundTruth, candidates should possess a B.Tech degree in Computer Science, Statistics, Mathematics, or a related field, along with 5+ years of relevant experience in data analysis. Proficiency in SQL, scripting languages such as R or Python, and familiarity with data visualization tools is essential. A strong grasp of statistical principles and root cause analysis is also critical.

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How does the analytics team at GroundTruth support other departments?

The analytics team at GroundTruth plays a crucial role in supporting various departments like Product and Ad Operations by developing scalable analytical solutions. By identifying key metrics, conducting comprehensive data analysis, and presenting findings, the team ensures that stakeholders have the insights needed to optimize campaigns and improve overall business strategies.

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What technical skills are essential for a Senior Data Analyst at GroundTruth?

Essential technical skills for a Senior Data Analyst at GroundTruth include expertise in SQL coding, scripting in R or Python, and hands-on experience with data visualization tools like Looker, Tableau, or Quicksight. Familiarity with AWS analytics infrastructure such as Redshift, S3, and Athena will also be highly beneficial in this role.

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What growth opportunities does GroundTruth offer for Senior Data Analysts?

GroundTruth provides significant growth opportunities for Senior Data Analysts by offering exposure to cutting-edge analytical techniques and a dynamic startup environment. You'll be able to enhance your skill set, collaborate with cross-functional teams, and take on increasing responsibilities, paving the way for your career advancement within the organization.

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Common Interview Questions for Senior Data Analyst
How do you determine relevant KPIs for a business problem?

Begin by thoroughly understanding the business context and objectives that stakeholder teams have defined. Discuss with them to understand what success looks like. Then, choose historical data to identify patterns that can be used to form KPIs, ensuring they are specific, measurable, achievable, relevant, and time-bound (SMART).

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Can you explain how you've used data visualization tools in your previous roles?

When asked about data visualization tools, discuss specific projects where you've used tools like Looker, Tableau, or Quicksight to create compelling visual reports. Explain how you translate complex datasets into easy-to-understand visuals that foster quick insights for stakeholders.

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Describe a challenging data analysis project you’ve worked on.

Select a project that involved tackling a complex problem. Detail the data sources you used, the analytical methods you applied, and how you arrived at your conclusions. Focus on obstacles you overcame and the impact your analysis had on the business results.

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How do you approach data quality issues?

To address data quality issues, start with identifying the root causes. Implement validation checks to monitor your data for accuracy and consistency. Once issues are identified, communicate them with relevant teams and suggest strategies for data cleansing or acquisition of higher quality data sources.

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What is your experience in using SQL for data manipulation?

Discuss your experience with writing SQL queries, manipulating data, and how you optimize queries for performance. Share examples of projects where you utilized SQL to derive insights or clean data and any challenges you faced when manipulating large datasets.

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How do you communicate your findings to non-technical stakeholders?

When communicating with non-technical stakeholders, focus on storytelling. Use analogies or simplified visuals to illustrate complex findings. Presenting your data insights in layman's terms, while still supporting them with data visualizations, will ensure effective communication.

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How have you contributed to team knowledge sharing?

Share your experiences of conducting training sessions, writing documentation, or mentoring team members about tools or analytical techniques you've mastered. Highlight your commitment to building a collaborative learning environment within the team for better collective performance.

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What methodologies do you apply for root cause analysis?

Explain the methodologies you prefer, such as the 5 Whys, Fishbone Diagram, or DMAIC (Define, Measure, Analyze, Improve, Control). Discuss a situation where you've successfully utilized these approaches to uncover underlying issues and offered actionable solutions.

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Can you describe your familiarity with AWS analytics tools?

Detail your experience with AWS tools like Redshift for data warehousing, S3 for storage, and Athena for querying data. Share real-life examples of projects where you effectively used these tools to solve problems or enhance data workflows.

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What measures do you take to ensure compliance with data privacy regulations?

Emphasize your understanding of data privacy regulations like GDPR or CCPA. Outline practices you implement to ensure data anonymization, access controls, and proper documentation of data sources, reassuring the interviewer of your commitment to data protection.

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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
January 3, 2025

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