Senior Data Analyst

ENSEK; Nottingham; On-site; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Analyst to join their dynamic team. This role offers the opportunity to leverage your analytical skills to gather, interpret, and present data-driven insights that will shape decision-making across the organization. You will collaborate with cross-functional teams, ensuring that data requirements are met while developing impactful reports and dashboards. If you have a passion for data and a desire to drive efficiency and performance, this is the perfect opportunity for you to make a significant impact.

Qualifications

• Strong analytical abilities with a focus on data management and reporting.
• Experience in delivering insights through data analysis.

Responsibilities

• Gather and interpret data from various sources to identify trends.
• Develop and deliver reports and dashboards for different departments.

Skills

Data Analysis

SQL

Dashboard Creation

Communication Skills

Statistical Knowledge

Data Intuition

Education

Bachelor’s degree in Computer Science

Experience in Data Analytics

Tools

Looker

Python

Databricks

Job description

We are a technology business operating in the global energy sector.

ENSEK has 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 Senior 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 non-technical 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.

SKILLS

Essential:

1. Bachelor’s degree in computer science, data analytics, statistics, or related field, and/or significant experience in data analytics role; preferably both.
2. Proven ability to deliver value through insights, reporting, and analysis.
3. Comfortable using SQL to retrieve, manipulate, and filter data.
4. Experience building interactive dashboards (preferably using Looker) that support decision making.
5. Excellent communication skills; able to explain concepts to both technical and non-technical audiences.
6. Knowledge of statistics and probability.
7. Data intuition – an understanding of biases present in real-world data and strategies to deal with them.

Desirable:

1. Experience within the customer service industry, retail energy, and/or a SaaS company.
2. Python coding skills.
3. Experience with Databricks.
4. Knowledge of data engineering / ETL processes.
5. Knowledge of experimental design, experience with A/B tests.