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

Apply Now

Power BI Consultant

Conspicuous
South Yorkshire
9 months ago
Applications closed

Related Jobs

View all jobs

Head of BI & Data Analytics

Senior Data Analytics Consultant (London)

Data Engineering Consultant - Home-based - £40-55k

Data Engineering Consultant in Sheffield, South Yorkshire

Data Engineering Consultant in Northampton, Northamptonshire

Data Engineering Consultant in Birmingham, West Midlands

Power BI Consultant (Junior to Mid-Level) -

Hybrid: South Yorkshire

Salary: Up to £40,000 per annum + bonus

Are you passionate about business intelligence and data visualisation? As our client celebrates their three-year milestone in delivering cutting-edge BI solutions using Power BI, Pyramid Analytics, and the Power Platform, they are seeking a Junior to Mid-Level BI Consultant to join their growing team.

About the Role:

As a Power BI Consultant, you will play a pivotal role in transforming raw data into meaningful insights that drive business decisions. You will collaborate with stakeholders to develop impactful reports and dashboards while leveraging a variety of BI tools to automate processes and enhance data-driven strategies.

Key Responsibilities:

  • Develop and optimise data visualisations, reports, and dashboards using Power BI and Pyramid Analytics, ensuring consistency and effectiveness.
  • Collaborate with clients to understand their business needs and translate them into actionable BI solutions.
  • Automate manual processes and identify opportunities for improved efficiency.
  • Maintain high standards of report design, ensuring a professional and cohesive look across all deliverables.
  • Present findings and iterate based on feedback to ensure continuous improvement.
  • Engage in occasional travel.

What We're Looking For:

  • Experience in BI reporting tools such as Power BI, SQL, Tableau, Qlik, or Cognos.
  • Strong analytical and problem-solving abilities, with a keen eye for data visualisation best practices.
  • Excellent communication and presentation skills to engage with stakeholders effectively.
  • A self-starter with a proactive attitude and a passion for learning and innovation.
  • Ability to work independently while also being a collaborative team player.

What's On Offer:

  • 30 days of holiday, plus pension contributions and a performance-based bonus.
  • Ongoing training and accreditation support to help you advance your career.
  • A collaborative and supportive environment with exciting opportunities to solve complex business challenges.
  • Hybrid working model with at least two days per week in the South Yorkshire office.

If you are enthusiastic about BI and eager to make an impact, we'd love to hear from you.

Apply now and take the next step in your BI career. For more information, contact-lucy.elliottconspicuous

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.