Data Analyst: Self-Service Analytics & Governance (Hybrid)

London & Partners Limited; London Borough of Southwark; On-site; GBP 50,000 - 53,000; Full time

Benefits offered by this job

30 Days Annual Leave

Competitive Salary

Learning & Development Opportunities

Culture of Belonging

Staff Networks

Pension Scheme

Networking Opportunities

Geopolitical Insights

Hybrid Working Arrangement

WorkFlex

Job summary

London & Partners in London is seeking a Data Analyst to drive operational elements of the Data Strategy, collaborating with the Business and Data Analytics Lead to transform data use, improve insights, and support decision-making across the organisation.

You will help establish data governance, quality, and processes, support a new Fabric-based data warehouse, define semantic models, build a data glossary, create Power BI reports, and advance the organisation’s data maturity journey.

Qualifications

• Significant proven experience in a data analyst or business intelligence role.
• Strong proficiency in SQL, Python, R, Power Query M, Java and DAX.
• Experience with Microsoft Fabric or equivalent data platform.
• Ability to independently lead and drive complex data projects with minimal supervision.
• Demonstrable experience in mentoring or guiding junior team members or business stakeholders on data best practice.
• Experience working with data validation, cleansing and reporting processes.
• Exceptional communication and presentation skills, with a proven ability to articulate complex findings to both technical and non‑technical audiences, influencing strategic decision‑making at all organisational levels.
• Experience with data warehousing or centralised reporting environment such as Fabric, or similar integrated data platform.
• Strong attention to detail and problem‑solving ability.

Responsibilities

• Identify, scope and implement data flows and semantic models to enhance the reporting architecture.
• Support the implementation of the data architecture necessary to support the Insights and Policy teams, enabling them to produce strategic insights and reports.
• Collaborate with colleagues who lead on reporting and insights to develop and promote a self‑service reporting approach across the organisation.
• Prepare for the development of advanced analytics, including predictive and prescriptive models.
• Own and drive the implementation of the data quality framework, including the design and maintenance of exception reports and priority status reporting.
• Take a lead role in the development of our Data Governance Forum, coordinating with Data Owners and Stewards to proactively identify, flag and resolve complex data quality issues.
• Define, refine and enforce a single source of truth for key datasets to ensure consistency and confidence in reporting.
• Work with IT and digital colleagues to validate data flows between systems, ensuring consistency and accuracy.
• Help review and map key systems, processes and APIs, to support the development of a central data warehouse.
• Prepare for the development of advanced analytics, including predictive and prescriptive models.
• Initiate and manage pilots of ethical AI and machine learning use cases within the data lake(s).
• Identify, scope and implement opportunities to expand the data warehouse reporting capability by building data pipelines and semantic models to enhance reporting efficiency.
• Design and deliver training programmes and support structures to teams on how to access and interpret reports and dashboards.
• Act as the organisational champion for self‑service analytics by enabling and governing access to trusted, well‑governed data.

Skills

SQL

Python

R

Power Query M

Java

DAX

Tools

Microsoft Fabric

Job description

London & Partners in London is seeking a Data Analyst to drive operational elements of the Data Strategy, collaborating with the Business and Data Analytics Lead to transform data use, improve insights, and support decision-making across the organisation.

You will help establish data governance, quality, and processes, support a new Fabric-based data warehouse, define semantic models, build a data glossary, create Power BI reports, and advance the organisation’s data maturity journey.