Commercial Insights Manager - Data Analyst

Dentro Talent
Lichfield
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS

Data Governance & Enablement Manager

Data Analyst ( hybrid) 3 days in office

Senior Data Scientist

Business / Data Analyst

Performance Data Analyst

Insights Manager - Data Lead - Business Analytics - SQL - Power BI - Requirements Gathering - Commercial Value - Hybrid Working (3 days onsite) - Lichfield - Permanent circa £55-60k


Are you someone who knows there way around the data landscape from a technical perspective but can use that data to drive commercial value and lead Data driving decision making? Are you hands on with SQL, Power BI, maybe Databricks but with an ability to gather requirements from different business units around their Data?


We're looking for an individual with a commercial mindset that knows data to join a business that are driving improvements in the way they collate, analyse and report on data. The business have a relatively complex dataset and have typically been good at reporting in certain areas but have not used the data available to lead their decision making and this role will help drive this forwards.


You will need to work closely with different business units including Finance, Marketing, HR and Sales, so it's important you have an ability to talk to stakeholders across a business. You will be responsible for collating and reporting on ROI and you will need to have great presentation skills.


The technical element is SQL, Power BI for visualisation and the business are about to invest in Databricks so if you understand this, then great, but the strong SQL and Power BI are a must, as well as good old excel too.


The business look after people, have a good benefits package and are part of a much larger group, so you get the small company, make a difference feel with the muscle of a multi-national behind you.


Please only apply if you are within commuting distance to the West Midlands, as there is no relocation compensation available and we need people to be ready to start following any notice periods.

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.