At a Glance
- Tasks: Transform data into strategic insights and build impactful Power BI reports.
- Company: Join Node4, a vibrant tech company focused on innovation and collaboration.
- Benefits: Enjoy hybrid working, private health insurance, 25 days holiday, and more.
- Other info: Be part of a diverse team with endless opportunities for growth and development.
- Why this job: Make a real impact by influencing decisions with data in a dynamic environment.
- Qualifications: 3-5 years in analytics, strong Power BI skills, and excellent communication.
The predicted salary is between 60000 - 80000 £ per year.
About Node4
We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People.
We are:
- Nimble – We focus on what matters most, adapt fast and embrace change.
- Original – We think differently, stay curious and innovate.
- Driven – We are bold, bring energy and own the outcome.
- Engaged – We operate as one, building strong relationships.
- More – We always go further for our people, customers and partners.
About the role
The Analytics Business Partner (Practices) is a domain-aligned role responsible for translating data into actionable, strategic insights that support Node4’s Practices function, encompassing Delivery, Support, and Customer Success. Embedded within the Practices function, the Analytics Business Partner acts as a trusted advisor to senior leaders by combining deep operational understanding with strong analytical capability and hands-on expertise in Power BI modelling and reporting.
This role goes beyond descriptive reporting. The Analytics Business Partner is accountable for:
- Building and maintaining Power BI semantic models.
- Developing executive-grade reports and dashboards.
- Delivering forward-looking, insight-led analysis that informs operational, commercial, and strategic decision-making.
- Driving improvements in service performance, customer outcomes, resource utilisation, and operational efficiency.
The role works closely with Practices leadership, the Data Platform team, and junior analytics roles to ensure insights are trusted, relevant, and aligned to Node4’s strategic priorities.
Responsibilities
- Strategic Business Partnering
- Act as the primary analytics partner for the Delivery, Support, and Customer Success leadership teams.
- Build strong, trusted relationships with senior stakeholders across Practices.
- Develop a deep understanding of operational processes, service delivery models, customer success objectives, and associated KPIs.
- Influence decision-making through insight-led recommendations rather than simply providing data.
- Ensure analytics activity supports operational excellence, customer retention, customer satisfaction, service performance, and profitability objectives.
- Support strategic initiatives through analysis of operational performance, customer outcomes, capacity, and service efficiency.
- Analytics Delivery & Enablement
- Translate business questions into analytical approaches, models, and meaningful outputs.
- Design, build, and maintain Power BI semantic models to support analytical and reporting needs.
- Define and own measures, calculations, and KPI logic (including DAX) in partnership with stakeholders.
- Ensure models are performant, scalable, and aligned to agreed business definition.
- Develop high-quality Power BI reports and dashboards, including senior leadership and board-level reporting.
- Drive consistency of KPIs and performance measures across Delivery, Support, and Customer Success teams.
- Support the transition from manual or fragmented reporting to scalable, insight-driven solutions.
- Insight & Analysis
- Deliver tailored, domain-specific insights that drive commercial, operational, and strategic outcomes.
- Move beyond descriptive reporting toward diagnostic, predictive, and forward-looking analysis.
- Proactively identify trends, risks, and opportunities before they surface as requests.
- Own the analytical narrative for the domain, including interpretation, insight, and recommendation.
- Collaboration & Governance Support
- Work closely with the Data Platform team to ensure high-quality, trusted data underpins insights.
- Support data governance initiatives by highlighting data quality issues, definition gaps, and ownership questions (without owning governance execution).
- Champion data literacy by helping stakeholders understand and use insights effectively.
- Leadership & Mentorship
- Provide analytical oversight and direction to junior analysts supporting the domain.
- Review and assure the quality of analytical outputs, including BAU reporting where applicable.
- Promote best practices in analytics, visualisation, and insight storytelling.
What will you bring?
- 3 to 5+ years’ experience in analytics, business intelligence, operational analytics, or data analysis roles.
- Proven experience building Power BI semantic models and reports.
- Strong DAX and data modelling capability.
- Experience partnering with senior stakeholders and influencing decisions with data.
- Ability to translate complex analysis into clear, compelling insights.
- Excellent communication and data storytelling skills.
- A proactive, curious mindset with a focus on impact rather than output.
Desirable Skills & Qualifications
- Experience working in a business-partner or embedded analytics model.
- Experience within Managed Services, IT Services, Customer Success, Service Delivery, Support Operations, or Professional Services environments.
- Exposure to predictive analytics, forecasting, or advanced analytical techniques.
- Experience working with Microsoft Fabric and/or Power BI.
- Understanding of operational service management frameworks and performance measures.
- Experience analysing customer lifecycle, retention, utilisation, service performance, or project delivery data.
- Highly desirable Microsoft certifications: Fabric Analytics Engineer Associate, Power BI Data Analyst Associate.
What can we offer you?
- Hybrid Working.
- Private Medical Insurance or Company Paid Health Cash Plan.
- Employee Assistance Program.
- 25 days holidays plus your birthday off.
- Option to purchase additional holiday (up to 5 days).
- Company Pension Scheme.
- Life Assurance x 4.
- A diverse workforce.
- Employee investment with Node4 training Academy.
- Family savings and shopping discounts through the Node4 benefits portal.
- Discounted Gym Membership.
- Modern facilities with open and welcoming breakout areas.
- Company Social events.
- Never ending supply of hot and cold drinks, biscuits, sweets, and fruit.
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company.
Analytics Business Partner employer: Node4
Node4 is an excellent employer that prioritises employee well-being and professional growth, offering a supportive work culture where innovation thrives. With hybrid working options, comprehensive benefits like private medical insurance, and opportunities for career advancement, Node4 ensures that its team members are equipped to deliver exceptional customer engagements while enjoying a fulfilling work-life balance in the vibrant UK market.
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We think this is how you could land Analytics Business Partner
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We think you need these skills to ace Analytics Business Partner
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Node4, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Node4. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Node4
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Node4!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
