Data Analyst

Location: Hackney

Connect2

Hackney, as the internal talent team for the London Borough of Hackney, are excited to offer an opportunity for an experienced Data Analyst to join our forward-thinking Customer Services, Digital & Data team.

In this key role, you will be working at SFIA Level 4 ('Enable') to bridge the gap between raw data and impactful organisational decision-making. You will collaborate with stakeholders across the Council to translate complex business challenges into actionable insights, build user-friendly dashboards, and champion data-driven service improvements that directly benefit Hackney's residents and local businesses.

Key Responsibilities

Identify, clean, aggregate, and analyse internal and external datasets. Design and automate high-impact visualisations and dashboards that empower leaders to make faster, better-informed decisions.
Partner across directorates and matrixed teams (e.g., Insight Service, Customer Experience, Digital Products) to understand business processes, key KPIs, and analytics requirements.
Collaborate with Data Engineers and data owners to build trusted, reusable datasets using open-source languages and the Council's analytical data platform.
Work within an Agile framework to iteratively deliver insights. Promote data sharing, best practices, and innovative analytical tools across the organisation.
Implement robust data management, privacy, security, and risk controls to maintain the integrity, confidentiality, and accessibility of information assets.
Provide direct line management for an Associate Analyst, contribute to multidisciplinary teams, and join an out-of-hours user support rota (with additional payment provided).

What We Are Looking For

We are seeking an analytical professional operating at SFIA Level 4 who demonstrates autonomy, influence, and strong technical problem-solving capabilities:

Core Competencies & Technical Skills

Data Visualisation:
Proven experience using leading data analytics and visualisation tools to design, ope rationalise, and automate clear reports and visual formats.
Data Science:
Ability to investigate complex problem sets, apply data science techniques/programming languages, evaluate models, and integrate data sources.
Data Modelling & Design:
Skill in investigating ambiguous enterprise data requirements, planning data structures, and offering architectural guidance.
Business Intelligence:
Strong background in querying and optimising non-standard BI tools to streamline operational data and drive governance/management decisions.
Information Assurance:
Understanding of risk management, information security, data protection/privacy, and accreditation frameworks.

About You

Comfortable working under general direction, taking accountability, and planning tasks to hit quality targets.
Fluent in translating complex technical data into plain, structured narrative stories for both non-technical and technical audiences.
Adaptable, fast-paced mindset comfortable with iterative design and continuous learning.

Qualifications

Ideally educated to a Bachelor's degree level and/or holds a relevant professional qualification.
Equivalent practical experience working at a similar technical level will be fully considered in lieu of formal qualifications.

Why Join Hackney Council?

Community Impact:
Work directly on corporate objectives and Mayor's priorities that create positive social outcomes for Hackney's diverse community.
Professional Growth:
Active investment in your professional development, training opportunities, and peer networks.
Inclusive Environment: A culture committed to equal opportunities, accessibility, sustainability, and hybrid flexible working

Commercial Services Trading Ltd is acting as an Employment Business in relation to this vacancy