Data Platform & Analytics Lead (Hybrid)

JMG Group

Guiseley

Hybrid

GBP 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Hybrid working options
Free parking
Company Pension scheme
Generous holiday entitlement &Birthday

Job summary

JMG Group is seeking a Data Manager to own the group’s data platform, governance and analytics enablement, ensuring reliable MI and unlocking value with SQL, Power BI, and applied AI. The role blends hands-on technical leadership with stakeholder engagement across the Group.

You’ll work with colleagues across IT and wider Group functions; the role is hands-on and outcomes-focused, supporting leadership with consistent, actionable insights as we scale.

Qualifications

  • Degree in a quantitative field or equivalent experience.
  • Experience leading BI/analytics teams and delivering management information.
  • Proven ability to translate requirements into robust data solutions.

Responsibilities

  • Own the data platform, governance and analytics enablement for the group.
  • Define and manage ETL/ELT pipelines and data integration post-acquisition.
  • Deliver Power BI dashboards, semantic models and secure data access.
  • Introduce responsible AI use to enrich insights and automate MI.
  • Mentor a small team of BI Developers/Analysts and drive the roadmap.

Skills

Advanced SQL
Power BI
ETL/ELT tooling
Dimensional modelling
AI/ML exposure
Data governance
Stakeholder engagement
Team leadership

Education

Degree in a quantitative field

Tools

SSIS
Power Query
Acturis data extraction
Python notebooks

Job description

JMG Group is seeking a Data Manager to own the group’s data platform, governance and analytics enablement, ensuring reliable MI and unlocking value with SQL, Power BI, and applied AI. The role blends hands-on technical leadership with stakeholder engagement across the Group.

You’ll work with colleagues across IT and wider Group functions; the role is hands-on and outcomes-focused, supporting leadership with consistent, actionable insights as we scale.

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