Data Science Analyst

Further•Cleveland, OH

15h

About The Position

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. 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.

Requirements

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, regression analysis, and experimental design.
Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.

Nice To Haves

Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
Adobe Analytics
Familiarity with causal inference methods is a significant plus.

Responsibilities

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.
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.