Data Analyst/ Data Science Manager

Pontoon; Leeds; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

A leading technology company is looking for a Data Science Manager / Data Analyst to transform data into actionable insights. This role involves working in a hybrid model from Leeds or Edinburgh, with responsibilities including data extraction, building reports, and presenting findings to various audiences. A successful candidate will be experienced in Power BI or Tableau and possess strong communication skills.

Qualifications

• Experience with Power BI or Tableau.
• SQL / Python is good to have.
• Great communication and data storytelling abilities.
• A curious mindset and passion for improving workplace experiences.

Responsibilities

• Extract and analyse data from multiple sources.
• Build reports and dashboards (Power BI / Tableau).
• Identify trends, risks, and opportunities through data.
• Present insights clearly to both technical and business audiences.

Skills

Communication

Data storytelling

Curiosity

Tools

Power BI

Tableau

SQL

Python

Job description

Overview

Job Title: Data Science Manager / Data Analyst

Location: Leeds / Edinburgh

Hybrid model: office twice a week

Length of Contract: 6 Months (potential to extension)

Salary: 70- 80k + 5% Bonus

Join a collaborative team shaping the future of the modern workplace.

As a Data Analyst, you'll transform data into insights that help improve how colleagues work, communicate, and collaborate. You'll partner across teams, explore new data sources, and build meaningful visualisations that drive smarter decisions.

Responsibilities

• Extract and analyse data from multiple sources
• Build reports and dashboards (Power BI / Tableau)
• Identify trends, risks, and opportunities through data
• Present insights clearly to both technical and business audiences

Qualifications

• Experience with Power BI or Tableau
• SQL / Python is good to have
• Great communication and data storytelling abilities
• A curious mindset and passion for improving workplace experiences

If you love turning data into action, we'd love to hear from you!