Technical Data Analyst

Hampshire County Council
Winchester
2 months ago
Applications closed

Related Jobs

View all jobs

Technical Data Engineer / Analyst

Marketing Data Analyst

Data Analyst

Performance and Data Analyst (SEND)

Data Analyst

Data Analyst

Job Reference: HCC622862

Salary Range: £40,643 - £45,077 per annum

Work Location: Elizabeth II Court, Winchester (Hybrid Working)

Hours per week: 37

Contract Type: Temporary for 18 months

Closing Date: 4 January 2026

Interview Date: 13 & 14 January 2026


The Role:

Joining our Data and Systems Team within Children’s Services Shared Service as a skilled Technical Data Analyst, you’ll be passionate about transforming data into actionable insights. In this key role, you’ll design, develop, and maintain SQL-based reports and dashboards that drive data-informed decision-making across the organisation.


Reporting to the Data Architect, you’ll be a main point of contact for reporting development, supporting analytics, reporting, and learning across the team. You’ll work on a variety of projects, proactively identifying efficiencies, streamlining processes, and delivering technical solutions to multiple customers.


What you’ll do:

  • Develop and maintain SQL queries, stored procedures, and views to support reporting requirements.
  • Build and optimise reports and dashboards using SQL and reporting tools such as Power BI and SSRS.
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications.
  • Ensure data accuracy, consistency, and integrity across all reports.
  • Monitor and troubleshoot report performance and data issues.
  • Document report logic, data sources, and processes for transparency and future maintenance.
  • Support ad-hoc data requests and analysis, data quality initiatives, and contribute to the continuous improvement of reporting processes.


What we’re looking for:

  • Advanced technical certificate or diploma, or A levels, or equivalent.
  • Proficient in writing complex SQL queries and working with relational databases (e.g., SQL Server).
  • Experience with reporting tools such as SSRS and Power BI.
  • Strong analytical and problem-solving skills.
  • Ability to interpret business requirements and translate them into technical solutions.
  • Attention to detail and commitment to data accuracy.


Why join us:

  • Be part of a collaborative team driving innovation in Children’s Services.
  • Work on projects that make a real difference to service delivery.
  • Opportunities for professional development and to contribute to service improvement.
  • Access to Health Assured's comprehensive Employee Assistance Programme to support your physical and mental wellbeing, including 24/7 telephone support, a suite of online resources, and legal and financial advice.
  • A competitive benefits package that includes generous annual leave entitlement, occupational sick pay, and access to the Local Government Pension Scheme. Find more information here.


To learn more about this role, please review our Candidate Pack available on our website. Please click on the Apply button for details.


Applicants can expect to hear from us within two weeks of the advertised closing date.


Please note: We are unable to offer sponsorship for this role and therefore it is essential that you already have the right to work in the UK before applying.


Other roles you may have experience of may include: Data Reporting Specialist, Data Solutions Analyst, Data Insights Analyst, Data Reporting Developer, Information Systems Analyst, Data Analytics Specialist, Reporting and Insights Analyst, Analytics & Reporting Consultant

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.