Data Science Analyst

Further; Cleveland (OH); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Net-zero medical option

HSA contributions

Fertility support

Parental leave

Lifestyle stipend

Job summary

Further is a data, cloud, and AI company focused on turning raw data into decisive actions. We welcome candidates who combine marketing domain expertise with rigorous data science to uncover insights and deliver impact for clients.

In this role, you’ll work with engineers to ensure data quality, design experiments, and present findings in business terms. A strong analytics mindset and communication skills are essential for success here.

Qualifications

• 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. 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

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.

Skills

R

Python

Statistics

Experiment design

Causal inference

Data storytelling

Tools

SQL

BigQuery

Snowflake

Adobe Analytics

Job description

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!

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.