Associate Data Analyst at Achieve together
Leatherhead, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

24 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Economics, R, Python, Sql, Tableau, Discourse, Excel, Statistics

Industry

Information Technology/IT

Description

Role type
Community Hub
Location
Leatherhead
Closing date
31/07/2025
Description
Location: Hybrid, Leatherhead
Contact: Full time

ABOUT US

Are you looking for a career that makes a real difference? A role with Achieve together might be the perfect opportunity for a long-lasting, rewarding career in the social care sector.
We are looking for team members who are passionate about supporting people, helping our Operations teams deliver excellent care and support, and celebrating achievements.

JOB DESCRIPTION

We are seeking a highly skilled and motivated Associate Data Analyst to join our community hub team. The successful candidate will play a crucial role in supporting the organisation’s core operations and ensuring the efficient and effective delivery of services.

REQUIREMENTS:

  • Experience in analytical work, working with primarily quantitative methods
  • Degree in statistics, mathematics, economics or equivalent field
  • Good skills in analytical tools, preferably PowerBI and Excel, SQL, Tableau, Python, R or equivalent
  • Some experience in qualitative approaches including content, thematic and discourse analysis, including development of qualitative coding frameworks
Responsibilities
  • Report to and support Senior Analyst
  • Conducts analytical work to a high standard
  • Assists in making data and insight a valuable asset to the organisation
  • Supports the wider team in their work with business teams to understand analytical needs
  • Support the organisation’s understanding of data, analysis and insight
  • Identifies and helps resolve data quality issues
  • Support the exploration of new tool and approaches
  • Share findings and insight effectively using structured narratives and visualisations
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