Senior Business Intelligence Officer | Full time | Intelligence Group | Preston, Lancashire

Lancashire County Council
Preston
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Data Analyst Senior Consultant, Assistant Manager, Manager - Belfast

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer (AWS, Airflow, Python)

Marketing Data Analyst

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Overview

Description Salary £36,363 - £40,777 per annum | 37 hours per week | Permanent, Full time | Intelligence Group | Preston, Lancashire


Lancashire is the fourth largest local authority in England and is a delightful mix of bustling towns and cities with a rich history of industry and creativity, sitting alongside peaceful, picturesque countryside and magnificent coastlines.


Lancashire's Business Intelligence team plays a central role in supporting all our services; providing analyses to develop our understanding of the people who live in Lancashire and insight into Lancashire's economic and cultural landscape. We develop business critical reports, performance analyses and support statutory and regulatory requirements.


The following role presents an exciting opportunity to join a dynamic team at the heart of the council.


Senior Business Intelligence Officer


This role is key to linking and improving the information provided by Business Intelligence with that used and needed by operational teams and senior managers in the Education and Children's Services Directorate covering Education, Children's Social Care, Inclusion services and SEND.


Key Responsibilities

  • Facilitate the maintenance and development of the team's products, to disseminate the data and intelligence collected, including via system reports, dashboards, analysis documents and other methods.
  • Process and upload information for the Education and Children's Services - providing analysis and summary oversight.
  • Analysis of Education and Children Services, and other, datasets. The production of reports and the development of statistical tools within the analysis.
  • Development of new data requirements and reporting arrangements to facilitate improved performance monitoring, management and evaluation (including the use of data dashboards and scorecards).
  • Querying of data and implementing data quality assurances and procedures.
  • Support colleagues internally and externally to develop intelligence from the analyses produced, and provide ad-hoc analysis and reports in response to data requests.
  • Produce communications to a variety of audiences on the outputs of the team and other services. Assist with the preparation and development of inspection materials.
  • Develop additional datasets with a range of LCC services, as required.

Key Requirements

  • Skilled in the development of Power BI dataset and dashboards with expert knowledge and experience in the development and delivery of Power BI dashboards.
  • Highly competent who can understand, interpret and present information quickly and accurately.
  • Highly numerate, with strong analytical skills and problem-solving capability.
  • Knowledge of performance management and evaluations tools, techniques and methodologies.
  • Experience in analysing, interpreting and presenting complex datasets in both prescribed and bespoke formats (including dashboards and scorecards).
  • Ability to establish and understand the links between different sources of data intelligence and how this impacts performance.
  • Production of regular analysis and performance reports against performance frameworks and their KPIs to facilitate strategic and operational decision making.
  • Collaborating with technical and operational teams to incorporate information into several datasets, and develop reports to monitor performance.
  • Well-developed interpersonal skills and the ability of working with/within multi-discipline organisations.

The usual office base for this role is County Hall, Preston, although it is currently a hybrid role which includes an amount of homeworking.


For an informal discussion about these posts please contact Michael Walder, Senior Business Intelligence Manager, on , or Umer Khonat, Business Intelligence Analyst, on ,


#J-18808-Ljbffr

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.