At a Glance
- Tasks: Analyse data and create insightful reports to drive operational improvements in the smart energy sector.
- Company: Join Alt HAN Co, a not-for-profit leading the charge in smart metering solutions.
- Benefits: Be part of a collaborative team with opportunities for growth and impact in green energy.
- Other info: Work in a dynamic environment focused on continuous improvement and innovation.
- Why this job: Make a difference in the transition to a smarter, low-carbon energy future.
- Qualifications: Experience with Power BI, strong analytical skills, and a passion for data-driven decision-making.
The predicted salary is between 35000 - 45000 £ per year.
Background – About Alt HAN Co
The Alternative HAN Company (Alt HAN Co) is a not-for-profit company jointly owned by a co-operative of UK retail Energy suppliers. It operates through a forum of supplier representatives and a Board. Costs are recovered from energy consumers, via charges levied on all licensed energy suppliers.
We were established in 2016 for the sole purpose of finding an industry-wide solution for smart metering in hard-to-reach houses and apartment blocks. Specifically, where the broadcast signal from a smart meter communication hub is not strong enough to reach the gas meter or smart devices in the home this problem affects around 5% of premises – and if not addressed could leave behind more than a million customers in the transition to a smarter, low-carbon energy sector.
The Role
The Operational Data & BI Analyst will support the delivery, governance, and continuous improvement of the CMR Programme through the development and management of operational reporting, business intelligence dashboards, forecasting models, and data assurance processes. The role will work closely with Operational, Commercial, Technical, and Delivery teams to provide accurate and actionable insight that supports programme performance, strategic decision-making, client reporting, and continuous operational improvement. This role is integral to ensuring operational data is translated into meaningful business intelligence that supports efficient programme delivery and informed decision-making across all levels of the organisation.
Job Description
- Business Intelligence & Reporting
- Build robust data models, reports, and visualisations that support Customer Operations in monitoring operational efficiency, SLA performance, forecasting, and trend identification.
- Provide key stakeholders across the business with self-service dashboards that deliver real-time operational insight and performance visibility.
- Present information using effective data visualisation techniques to support operational and strategic decision-making.
- Develop, maintain, and continuously improve Power BI dashboards and operational reporting tools.
- Produce accurate weekly, monthly, and ad-hoc reporting for operational and executive stakeholders.
- Translate complex operational datasets into meaningful insights and visual reporting outputs.
- Support the development and implementation of KPI reporting frameworks and governance standards.
- Ensure reporting outputs remain aligned with operational delivery requirements and programme objectives.
- Data Analysis & Operational Insight
- Collect, analyse, and interpret raw operational data to disseminate meaningful insights and recommendations to operational teams and key stakeholders.
- Undertake data collection, preprocessing, validation, and analysis activities to support reporting accuracy and business intelligence outputs.
- Build analytical models to address operational and business challenges.
- Provide data-driven recommendations to improve the services delivered to customers and support implementation through to measurable impact.
- Propose solutions and strategies to operational and business challenges through evidence-based analysis.
- Analyse operational trends, delivery performance, attrition rates, backlog positions, and workflow bottlenecks.
- Carry out root-cause analysis to support operational improvement initiatives and business decision-making.
- Support forecasting, capacity planning, and delivery modelling activities across programme workstreams.
- Identify risks, trends, anomalies, and opportunities within operational data.
- Provide insight and recommendations to support continuous improvement initiatives.
- Data Quality & Assurance
- Validate operational datasets to ensure reporting accuracy, consistency, and integrity.
- Reconcile data across multiple systems, workstreams, and reporting outputs.
- Support the implementation and maintenance of data governance processes and controls.
- Assist in improving data capture standards and reporting quality across operational teams and delivery partners.
- Support the maintenance of reporting documentation, assumptions, and audit trails.
- Operational & Stakeholder Support
- Work collaboratively with Operational Managers, Commercial Teams, Technical Teams, and subcontractors to understand reporting requirements and operational challenges.
- Support the preparation of governance packs, client reporting, steering committee reporting, and executive updates.
- Provide ad-hoc analysis and reporting support across programme activities.
- Present findings and insights in a clear and concise manner to both technical and non-technical stakeholders.
- Systems & Process Improvement
- Identify opportunities to automate manual reporting and analytical processes.
- Support the optimisation of reporting workflows and BI architecture.
- Assist in the continuous development of scalable reporting models as programme volumes increase.
- Contribute to operational process improvement initiatives through data-led insight.
Experience, Skills & Qualifications
- Essential
- Experience developing and maintaining Power BI dashboards and reporting solutions.
- Strong analytical and problem-solving skills.
- Advanced Microsoft Excel capability.
- Experience working with large and complex operational datasets.
- Strong attention to detail and data accuracy.
- Ability to communicate technical information to non-technical stakeholders.
- Experience producing operational or performance reporting within a business environment.
- Ability to manage multiple priorities and work independently.
- Desirable
- Experience within utilities, energy, construction, infrastructure, or operational delivery environments.
- Knowledge of Power Query, DAX, SQL, or similar analytical tools.
- Experience supporting operational forecasting and capacity planning activities.
- Understanding of KPI governance and assurance frameworks.
- Experience working within programme or project delivery environments.
Behaviours & Competencies
- Strong commercial awareness.
- Proactive and solutions-focused mindset.
- Organised and methodical approach to work.
- Strong stakeholder engagement and communication skills.
- Ability to challenge and validate information constructively.
- Continuous improvement mindset.
- Ability to work collaboratively across multiple teams and disciplines.
Analytical & Problem-solving capabilities
- Strong analytical and critical thinking capability.
- Ability to interpret complex operational datasets and identify trends, risks, and opportunities.
- Strong problem-solving aptitude with the ability to propose practical business solutions.
- Analytical mindset combined with strong business and operational awareness.
- Ability to solve complex operational challenges through data-led insight and evidence-based decision-making.
The Opportunity
At Alt HAN you will:
- Join an exciting technical development field in the smart energy sector and lead in the climate/green energy challenge.
- Collaborate with a skilled and reputable team.
- Play a crucial role in the department as the company prepares for rollout.
- Engage with the Senior Team in broader Alt HAN Co development.
- Be part of an organisation striving to be the preferred provider for DESNZ/Energy Suppliers in future smart energy initiatives requiring collective action.
Alt HAN Co is an equal opportunities employer and are committed to treating all job applicants equally. Alt HAN Co does not discriminate against any employee or job applicant on grounds of (including, but not limited to) their race or colour, nationality, national or ethnic origin, sex, marital status, religion, age, sexual orientation or disability.
Operational Data & BI Analyst in London employer: Alt Han Co
At Alt HAN Co, we pride ourselves on being an exceptional employer in the smart energy sector, offering a collaborative and inclusive work culture that fosters innovation and continuous improvement. Our commitment to employee growth is evident through opportunities to engage with senior leadership and contribute to meaningful projects that address real-world challenges in energy efficiency. Located at the heart of the UK's transition to a low-carbon future, we provide our team with the chance to make a significant impact while enjoying a supportive environment that values diversity and equal opportunity.
StudySmarter Expert Advice🤫
We think this is how you could land Operational Data & BI Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working with data and BI. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any analytical projects you've worked on. This is your chance to demonstrate your ability to turn complex data into actionable insights. Make sure to highlight how your work has positively impacted previous teams or projects.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you would approach real-world operational challenges using data analysis. Practise explaining your thought process clearly, so even non-technical folks can understand your insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Alt HAN Co and contributing to the smart energy sector.
We think you need these skills to ace Operational Data & BI Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Operational Data & BI Analyst role. Highlight your experience with Power BI, data analysis, and any relevant projects that showcase your skills in operational reporting and business intelligence.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for Alt HAN Co. Share your passion for the smart energy sector and how your analytical skills can contribute to our mission of improving operational efficiency.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Use examples from your past work where you’ve successfully analysed data or improved processes. We love seeing how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Alt HAN Co.
How to prepare for a job interview at Alt Han Co
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of operational data and business intelligence. Familiarise yourself with Power BI and any relevant analytical tools mentioned in the job description. Be ready to discuss how you've used these tools to create dashboards or reports that have driven decision-making.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex operational challenges in the past. Think about specific situations where your analytical skills led to actionable insights or improvements. This will demonstrate your ability to provide data-driven recommendations, which is crucial for the role.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. You might be asked to present findings during the interview, so being able to convey your insights clearly will show that you can bridge the gap between data and decision-making.
✨Emphasise Continuous Improvement
Highlight your proactive approach to identifying opportunities for process improvement. Discuss any experiences where you've automated reporting processes or optimised workflows. This aligns perfectly with the company's focus on continuous operational improvement and will set you apart as a candidate.