Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Tarka Talent
Birmingham
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

50-60k

Hybrid Work


We are partnered with a high-growth SaaS organisation in the Energy sector who are growing their in-house data analyst team.


They are seeking a business-orientedData Analystto join theTransformation Management Office.This role is focused on using data to drive informed business decisions and support key transformation initiatives, including a major integration programme.


This is a great opportunity for someone who enjoys using data to solve real business problems and wants to play a meaningful role in organisational change.


Key Responsibilities:

  • Analyse and interpret data to support strategic decision-making and process improvement
  • Deliver insights related to a large-scale business integration project
  • Work closely with stakeholders across various business units
  • Develop and present clear, actionable reports using Power BI or Python
  • Contribute to the success of the Shared Services transformation workstream


Requirements:

  • Proficiency inPythonorPower BI
  • Strong analytical and problem-solving skills
  • Ability to communicate complex information in a business-friendly way
  • Experience working in transformation or change programmes is an advantage





Regretfully, due to a high volume of applicants, we are only able to reply to those who are successful.


Equal Opportunities:


We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality Act 2010, we strive to create and maintain a working environment in which everyone is able to make the best use of their skills, free from discrimination or harassment, and in which all decisions are based on merit. No person is subjected to any less favourable treatment on any discriminatory grounds on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy and maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.