We are a technology business operating in the global energy sector.
ENSEK have become the go-to option for top energy suppliers across the globe. Why? Because our technology is a significant step change away from the legacy systems that have historically dominated the market. It’s also massively cheaper to adopt the ENSEK solution, with no loss in customer service or standards.
But by far the biggest reason why ENSEK is the best choice in energy supplier software, is because of the people who work here and their endless enthusiasm, energy, and the way they support their colleagues. All our clients comment on what great people we have. Our people are our superpower.
That is where you come in.

ROLE SUMMARY

We are seeking a skilled Data Analyst to join our team and assist in analysing data, generating insightful reports, and supporting decision-making across the organization. The ideal candidate will possess strong analytical abilities, be proficient in data management and reporting tools, and have a keen eye for detail. You will work closely with cross-functional teams to understand business needs and deliver data-driven solutions that improve efficiency and performance.

KEY RESPONSIBILITIES

1. Gather and interpret data from various sources (databases, CRM systems, external
   sources, etc.).
2. Perform detailed data analysis to identify trends, anomalies, and actionable insights.
3. Work closely with stakeholders to understand business objectives and align analyses
   with strategic goals.
4. Act as a data champion to ensure data requirements are considered and effectively
   met at all stages of the software development lifecycle.
5. Influence and advocate data-led decision making within your team.
6. Develop, design, and deliver regular and ad hoc reports and dashboards to visualise key metrics and insights for different departments (e.g., finance, marketing, sales,
   operations).
7. Automate reporting processes to improve efficiency and reduce manual efforts.
8. Translate complex data into understandable and compelling reports tailored to nontechnical stakeholders.
9. Work with data engineers to ensure your team’s data is timely, accurate and
   accessible.
10. Conduct regular audits and validation checks on datasets to ensure compliance with
    data standards.