Data Science Analyst

Reposted 15 Days Ago
3 Locations
In-Office
Mid level
Consulting
The Role
The Data Science Analyst will interpret data for client decision-making, support hypothesis development, perform analyses for actionable insights, and present findings to stakeholders.
Summary Generated by Built In

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. 

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

What you bring:

  • 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
  • Strong command of R and/or Python for data manipulation and statistical analysis.
  • Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
  • Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. 
  • Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
  • Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
  • Bonus Points: Adobe Analytics 

What you’ll be doing:

  • Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
  • Assist in designing and executing reporting, analytics, and optimization briefs.
  • Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
  • Perform analysis to uncover actionable insights and develop data-driven recommendations
  • Present findings to internal and client stakeholders in a clear, business-focused way.

What you’ll need to accomplish in your first year:

  • Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
  • Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

Skills Required

  • 2-5 years of professional experience in data science or advanced marketing analytics
  • Strong command of R and/or Python for data manipulation and statistical analysis
  • Deep understanding of statistical theory, including hypothesis testing and regression analysis
  • Ability to manage client expectations and present to non-technical audiences
  • Proficiency in SQL for querying data across various cloud warehouses
  • Exceptional 'data-to-story' skills
  • Familiarity with causal inference methods
  • Adobe Analytics proficiency
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The Company
HQ: Atlanta, GA
195 Employees
Year Founded: 2004

What We Do

Search Discovery is a data transformation company. We believe great things happen when companies use their data with purpose to drive measurable business impact. Our services and solutions help Fortune 5000 companies activate their data through clear, executable strategies that achieve desired business outcomes. We assist clients at every stage of data transformation, including strategy, implementation, optimization, and organizational change management. We drive efficient operations, deeper insights, and improved decision making across marketing, sales, finance, operations, and human resources.

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