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Connect2Hackney

Data Analyst

London
Posted 1 day ago
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About the Role

Connect2Hackney, 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).

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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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, operationalise, 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.

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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.
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Skills

Data Visualisation
Data Science
Data Modelling
Business Intelligence
Information Assurance
Agile Methodology
Data Cleaning
Stakeholder Management
Line Management
Risk Management
Data Privacy
Technical Storytelling

Location

London, England, United Kingdom

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