Finance / Data Analyst

JobStart Scheme
Belfast
1 month ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst

Finance Data Analyst

Senior Data Engineer

2 x Data Analyst - Local Authority

THE EMPLOYER IS: PGR ADVISORYAs a Finance / Data Analyst you will support financial and data analysis projects by collecting, cleaning, and organizing information from multiple sources. Assist with budgeting, forecasting, and variance reporting.

Responsibilities

  • Build and update dashboards, spreadsheets, and visualizations to track key performance indicators.
  • Collaborate with colleagues to ensure data accuracy and improve reporting processes.
  • Help identify trends and insights that guide financial and business decisions.
  • Participate in special projects focused on process improvement or data automation.

Skills and Qualifications

  • Ability to analyse data sets for R&D reports.
  • Able to communicate via email/telephone clearly and professionally.
  • Ability to work independently on cost files/client data.

Further Information

The Employer is: PGR ADVISORYJobStart Opportunity - Working Hours Information- Standard Hours: up to 25 hours per week.- Flexible/Reduced Hours: May be available upon approval by a Work Coach.- Additional Hours: The employer may offer extra hours depending on availability. This should be discussed directly with the employer before starting employment.The job advert may end before the closing date if requested by the employer.

Application Information

JOBSTART IS OPEN TO WORKING AGE BENEFIT CLAIMANTS WHO ARE DEEMED ELIGIBLE BY A WORK COACH. If you are on Universal Credit, please contact your Work Coach via your Journal. If you are in receipt of any other working age benefit, please contact your local Jobs & Benefits Office on .

Vacancy ID 1747641 Job Sector Business, Policy and Projects Area Belfast Location Belfast Salary 16-17 £7.55, 18-20 £10.00, 21 plus £12.21 per hour. No. vacancies 1 Contract Type Temporary Weekly hours 25 Published date 26/11/2025 Closing date 06/01/2026 Worktime To be confirmed with employer.

Area: Derry or Londonderry
Closing date: 30 Nov 2025


#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.