PowerBI Data Analyst

Steer Automotive Group
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Graduate Data Analyst

Graduate Data Analyst

Commercial Data Analyst

HR Data Analyst (SuccessFactors Reporting)

Financial Data Analyst

PowerBI Data Analyst

Remote - with adhoc travel to sites across the UK as required

Ref: VA2318

#OFE

Benefits

Competitive salary plus performance related bonus 29 days holiday including public holidays plus additional days with service ​Pension contributions ​Referral bonus scheme ​Enhanced parental leave ​Enhanced sick pay ​Talk to us about flexible working ​VIP Awards – colleague recognition scheme Cycle to work scheme​ Benefits App – virtual GP appointments, employee assistance programme (EAP), cycle to work, high street discounts, discounted vehicle maintenance & repairs and so much more!
​Steer Academy provides accredited ongoing training – paid for by the business ​Opportunities for career progression

​

Steer Automotive Group, the UK’s leading Accident Repair group, is looking for an experienced and business minded Data Analyst with experience working with PowerBI, to drive the further development and innovation of it’s existing PowerBI reporting suite.

​
Reporting to the group’s Director of Strategy, the successful candidate will have experience in PowerBI reporting and PowerBI app development and be able to take the group’s current reporting platforms and further enhance and develop them, working in conjunction with leaders throughout the business to enable data to drive their decision making by exception.

​
The successful candidate will be proficient in using PowerBI and DAX to build dynamic and user friendly reports within PowerBI, with experience working with PowerBI Apps, PowerAutomate and Microsoft Fabric also advantageous. They will be able to demonstrate an ability to not only analyse large semantic models, but also interpret and present them in a meaningful, engaging and intuitive way, driving user engagement.

​

Key objectives of the role

​Further develop Steer’s established PowerBI reporting suite for business wide use ​Innovate and produce new PowerBI reports, working with key partners to establish new data feeds and identifying further business opportunities through the analysis of data and engagement with senior leadership in all areas of the business (including leadership within Operations, People, Brand, IT, Finance, Commercial, ESG and M&A teams) ​Maintain and administrate PowerBI reports, working in conjunction with Steer’s IT team ​Drive user engagement strategies to increase use and knowledge of Steer’s unique reporting capability throughout the group ​Produce well presented reports in PowerPoint that will be used at board level within the group

​

Key skills required

​Proficient in the use of Excel and PowerBI with an array or related semantic models, including use PowerQuery and other associated tools ​Experience in using DAX and advanced Excel formulas, with experience in M, R, SQL or VBA useful but not essential ​Ability to create reports that present data to users in a professional, intuitive and engaging manner ​Proficient use of the wider Microsoft Office suite including the production of PowerPoint presentations

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.