Power BI Self Service Lead

Power BI Self Service Lead

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of innovative data solutions and enhance self-service capabilities.
  • Company: Join a renowned organisation focused on ethical values and cutting-edge data technology.
  • Benefits: Enjoy perks like colleague discounts, bonus schemes, training, and wellbeing support.
  • Why this job: Be part of a digital-first transformation and make a real impact with data.
  • Qualifications: 5+ years in data management, expertise in Power BI, and strong problem-solving skills required.
  • Other info: This role offers hybrid working in London and opportunities for professional growth.

The predicted salary is between 43200 - 72000 £ per year.

We are currently looking for a Power BI Self-Service Lead to join the innovative and dynamic Data Tech team. You’ll be part of a renowned organisation, working on solutions that serve a wide audience of loyal customers and colleagues. With strong ethical values and technology leaders who truly understand data platforms and management, this is an exciting time to join as we evolve into a digital-first, data-led organisation. As Power BI Self-Service Lead, you’ll play a key role in this transformation, reporting directly to our Data Platform Manager.

The Opportunity

In this role, you’ll drive responsible usage of our newly built data platform, ensuring it evolves with cutting-edge technologies and meets the needs of practitioners and business partners. By owning and enhancing our Lab proposition, you’ll foster a culture of innovation, develop governance frameworks, and implement tools that provide consistent, supportable solutions for activities such as self-service data ingestion and transitioning processes from Lab to Factory.

Key responsibilities include:

  • Drive Innovation: Lead the development and delivery of our Lab proposition to elevate practitioner self-service and foster innovation.
  • Collaborate and Create: Partner with cross-functional teams to address challenges and shape the Lab offering using industry-standard methodologies.
  • Engage and Inspire: Host regular sessions to share best practices, gather user feedback, and improve platform usability.
  • Automate and Optimise: Develop tools and frameworks for seamless automation of Lab resources, driving cost efficiency and operational excellence.
  • Transform and Automate: Implement a Lab-to-Factory transition model to eliminate bottlenecks and enhance process efficiency.
  • Ensure Accuracy: Maintain and manage datasets to ensure accuracy, reliability, and accessibility.
  • Generate Insights: Utilise audit datasets for actionable insights and governance activities.

What’s in it for you?

You’ll enjoy a wide range of benefits, making your role rewarding and enriching. Here’s what you can expect:

  • Colleague Discount
  • Holiday Entitlement
  • Bonus Schemes
  • Pension Scheme
  • Training and Development
  • Wellbeing Support
  • Parental Support
  • Volunteering

Skills and Experience

  • 5+ years of experience in data management, governance, and analytics.
  • Extensive expertise in Power BI, including developing complex dashboards and reports.
  • Strong understanding of Power BI governance practices.
  • Proficiency with data platforms such as Synapse and Databricks (Desirable).
  • Excellent problem-solving skills and strategic thinking.

If you’re passionate about creating best-in-class data platforms and transforming how organisations leverage data, we’d love to hear from you. To apply, please submit your CV by clicking the apply button below. We look forward to connecting with you!

Power BI Self Service Lead employer: Data Science Festival

Join a forward-thinking organisation in London as a Power BI Self-Service Lead, where you'll be part of a vibrant Data Tech team dedicated to innovation and ethical values. Enjoy a hybrid work environment that promotes collaboration and creativity, alongside a comprehensive benefits package including training and development opportunities, wellbeing support, and a culture that encourages personal and professional growth. This is your chance to make a meaningful impact in a digital-first, data-led transformation while working with cutting-edge technologies.
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Contact Detail:

Data Science Festival Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Power BI Self Service Lead

✨Tip Number 1

Familiarise yourself with the latest trends and updates in Power BI. Attend webinars or workshops to enhance your knowledge and demonstrate your commitment to staying current in the field.

✨Tip Number 2

Network with professionals in the data management and analytics community. Join relevant LinkedIn groups or forums where you can share insights and learn from others, which could lead to valuable connections.

✨Tip Number 3

Prepare to discuss specific examples of how you've driven innovation in previous roles. Think about projects where you implemented self-service solutions or improved data governance practices.

✨Tip Number 4

Showcase your problem-solving skills by preparing for scenario-based questions. Be ready to explain how you would approach challenges related to data accuracy and operational efficiency in a Lab-to-Factory transition.

We think you need these skills to ace Power BI Self Service Lead

Power BI Expertise
Data Management
Data Governance
Analytics Skills
Dashboard Development
Strategic Thinking
Problem-Solving Skills
Cross-Functional Collaboration
Automation Frameworks
Process Optimisation
User Engagement
Data Accuracy Management
Insight Generation
Fostering Innovation
Knowledge of Synapse and Databricks

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your 5+ years of experience in data management, governance, and analytics. Emphasise your expertise in Power BI, particularly in developing complex dashboards and reports, as this is crucial for the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data platforms and your understanding of Power BI governance practices. Mention specific examples of how you've driven innovation or improved processes in previous roles.

Highlight Relevant Skills: In your application, clearly outline your problem-solving skills and strategic thinking abilities. If you have experience with data platforms like Synapse and Databricks, be sure to include that as well, even if it's listed as desirable.

Showcase Collaborative Experience: Since the role involves partnering with cross-functional teams, include examples of past collaborations where you addressed challenges and shaped offerings using industry-standard methodologies. This will demonstrate your ability to engage and inspire others.

How to prepare for a job interview at Data Science Festival

✨Showcase Your Power BI Expertise

Be prepared to discuss your experience with Power BI in detail. Highlight specific projects where you've developed complex dashboards and reports, and be ready to explain the governance practices you've implemented.

✨Demonstrate Problem-Solving Skills

Think of examples where you've tackled challenges in data management or analytics. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your strategic thinking.

✨Engage with Cross-Functional Collaboration

Since the role involves partnering with various teams, be ready to discuss how you've successfully collaborated in the past. Share experiences that showcase your ability to address challenges and shape offerings using industry-standard methodologies.

✨Prepare for Questions on Automation and Optimisation

Expect questions about your experience with automating processes and optimising resources. Be ready to discuss tools and frameworks you've developed, and how they contributed to cost efficiency and operational excellence.

Power BI Self Service Lead
Data Science Festival
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  • Power BI Self Service Lead

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-06-23

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    Data Science Festival

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