Lead Data Analyst - BI and Semantic Modelling in Huntly

Lead Data Analyst - BI and Semantic Modelling in Huntly

Huntly Full-Time 71869 - 85880 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop reusable analytical datasets and Power BI models for impactful analytics.
  • Company: Join SSE, a leader in energy transition and innovative technology.
  • Benefits: Enjoy flexible working, competitive salary, and wellness perks like free online GP access.
  • Other info: Inclusive workplace with excellent career growth opportunities.
  • Why this job: Make a real difference in the energy sector while advancing your data skills.
  • Qualifications: Extensive Power BI experience and strong SQL skills required.

The predicted salary is between 71869 - 85880 £ per year.

Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Glasgow, Perth, Inverness or Aberdeen.

Salary: 71,869 - 85,880 and a range of benefits to support your finances, wellbeing and family.

Working Pattern: Permanent | Full Time | Flexible First options available.

The role:

Join the Data and Analytics team in Transmission Digital in a hands-on technical role focused on designing, developing and optimising reusable analytical datasets and Power BI semantic models. Working across our data platform and Power BI, you will consolidate standalone datasets and models into scalable, high-performing analytical products that support multiple reports, self-service analytics and emerging Copilot-enabled experiences.

You will:

  • Lead the hands-on design and development of reusable analytical datasets and Power BI semantic models for BI and analytics use cases.
  • Assess and consolidate standalone semantic models, bringing common data, measures and business logic into shared analytical products that support multiple reports and BI use cases.
  • Translate complex business questions into clear data requirements, definitions, measures and practical Power BI solutions.
  • Diagnose and resolve Power BI performance issues through effective semantic-model design, DAX optimisation and appropriate storage choices.
  • Work with Power BI developers, data engineers, architects and business stakeholders to align solutions with agreed standards and take them through testing, documentation, deployment and ongoing improvement.

You have:

  • Extensive hands-on experience developing and optimising complex Power BI solutions, including reusable semantic models rather than only individual reports or dashboards.
  • Proven experience consolidating multiple standalone datasets or semantic models into shared analytical products supporting several reports, teams or business use cases.
  • Strong Power BI expertise, including DAX, relationships, storage modes, security and performance optimisation.
  • Advanced SQL skills and practical experience using a modern data platform for data preparation, transformation and analytical modelling, ideally including Microsoft Fabric.
  • Strong analytical and stakeholder skills, with the ability to turn ambiguous requirements and fragmented data into scalable, maintainable solutions; experience preparing models for Copilot or natural-language querying would be advantageous.

About SSE:

SSE's purpose is to provide energy needed today while building a better world of energy for tomorrow. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. Our Transforming for Growth investment plan sees us investing 33bn in critical electricity infrastructure across the five years to 2030.

Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more.

Flexible benefits to fit your life:

Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave.

Work with an equal opportunity employer:

SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. Please contact David.Brickell@sse.com / 01738 275 846 to discuss how we can support you.

We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.

Ready to apply?

Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work.

Lead Data Analyst - BI and Semantic Modelling in Huntly employer: Scottish and Southern Energy

SSE Renewables is an exceptional employer, offering a dynamic work environment where innovation meets sustainability. With a strong commitment to employee wellbeing, flexible working options, and a focus on professional development, you'll have the opportunity to lead multidisciplinary teams in delivering impactful offshore wind projects. Join us in shaping a cleaner energy future while enjoying comprehensive benefits and a culture that values diversity and inclusion.

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Contact Details:

Scottish and Southern Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Analyst - BI and Semantic Modelling in Huntly

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We think you need these skills to ace Lead Data Analyst - BI and Semantic Modelling in Huntly

Power BI
DAX
SQL
Data Preparation
Data Transformation
Analytical Modelling
Semantic Modelling

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