Commercial Analytics Data Analyst — Drive Impact

Kindred (London) Limited; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

FDJ UNITED is seeking a commercially-minded Data Analyst to join the Commercial Analytics team. You will translate complex data into clear insights, supporting marketing and commercial functions to understand performance, diagnose trends and identify opportunities in a data-rich industry.

The role involves analysing data at scale, framing the right questions with stakeholders, and presenting findings to both technical and non-technical audiences, using SQL, Power BI, and AI productivity tools.

Qualifications

• Essential experience in a data analysis role in commercial environments with high data volumes.
• Analytical curiosity and ability to frame right questions.
• Ability to interpret data in a business context and explain findings.

Responsibilities

• Analyse commercial and marketing performance data to surface meaningful insight that supports better decisions
• Work closely with stakeholders to understand goals, frame questions and deliver actionable findings
• Dig into commercial trends to understand not just what is happening, but why, and what to do about it
• Present findings clearly to analytical and non-analytical audiences
• Use AI tools and modern analytics platforms to work efficiently and produce high quality output
• Bring energy and ideas to an experienced, engaged team

Skills

Analytical mindset

Strong communication

SQL

AI productivity tools

Education

Degree in a numerate or analytical subject

Tools

Power BI

Job description

FDJ UNITED is seeking a commercially-minded Data Analyst to join the Commercial Analytics team. You will translate complex data into clear insights, supporting marketing and commercial functions to understand performance, diagnose trends and identify opportunities in a data-rich industry.

The role involves analysing data at scale, framing the right questions with stakeholders, and presenting findings to both technical and non-technical audiences, using SQL, Power BI, and AI productivity tools.