Staff Data Analyst

About This Opportunity

We are representing a confidential energy technology client in their search for a Staff Data Analyst to embed within their commercial operations. This is a high-impact role where your analysis directly influences revenue decisions, pipeline accuracy, and commercial strategy.

Our client is scaling rapidly across the UK and EU, building AI-driven infrastructure to transform how electricity markets operate. You'll join at a pivotal growth stage, working closely with commercial leadership to ensure the metrics that drive the business are accurate, trusted, and actionable.

This is not a dashboard factory role. You'll take ambiguous questions from senior stakeholders, define the right analytical approach, and deliver recommendations that change decisions—not just reports that sit in inboxes.

Responsibilities

• Own pipeline and revenue forecasting accuracy, monitoring sales data to catch overlaps, double-counting, and CRM data quality issues before they impact forecast reliability
• Define and report forecast accuracy against annual targets, setting the standard for how commercial metrics are tracked across the organisation
• Conduct commercial opportunity sizing and partner performance analysis to support sales and leadership decisions
• Identify underperformance, emerging trends, and risks in the pipeline before they surface in headline numbers
• Serve as the voice of data for the commercial team, translating complex retention, renewal, and margin analysis into clear recommendations for senior stakeholders
• Work directly with commercial and sales teams to define what "good" looks like for key metrics, establishing clear, agreed definitions
• Build compelling data stories that inspire action among non-technical audiences
• Increase data adoption across the commercial team, enabling colleagues to self-serve routine reporting needs

What We're Looking For

Essential:

• Strong SQL skills with experience investigating complex datasets across modern analytics stacks (dbt, BI tools such as Omni or similar)
• Commercial acumen—you understand how analytical findings connect to revenue and margin outcomes
• Experience developing forecasts or scenario models and explaining variance from actuals to senior stakeholders
• Ability to turn ambiguous stakeholder questions into well-defined analytical problems and present clear recommendations
• Proven track record building trusted metrics or reporting from messy or inconsistent source data (CRM systems, transactional databases)

Valued but not required:

• Background in energy, fintech, or another commercially complex, data-intensive sector
• Python for statistical analysis or advanced data quality work
• Experience building metric frameworks that connect operational activity to commercial outcomes
• Familiarity with CRM systems and parent-child or account hierarchy data structures

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screen to understand your background and assess fit. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the employer directly—all communication and interview coordination will flow through our recruiting team to ensure a smooth, professional process.

The client's interview process typically includes: an intro call with their talent team (30 minutes), a behavioural interview with the hiring manager (60 minutes), a technical skills interview with the analytics team (60 minutes), and a final interview with leadership stakeholders (45 minutes).

Pay

Pay via Get A Job.ai will be discussed during the screening process and is based on experience and qualifications.

This is a remote-first role within the UK and EU. The client offers equity participation, 25 days holiday plus public holidays (with flexibility to swap), and your birthday off.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds, experiences, and identities. If you're excited about this role but don't meet every requirement, we still encourage you to apply—your unique perspective may be exactly what our client needs.