tem - Senior Data Analyst
Requirements
• Solid SQL skills, used to investigate complex datasets across modern analytics stacks (e.g. dbt, Omni or similar BI tools). • Good commercial understanding, with an ability to connect analytical findings to revenue and margin outcomes. • Experience developing forecasts or scenario models, and explaining the drivers behind variance from actuals. • Ability to turn ambiguous stakeholder questions into well-defined analytical problems, and to present recommendations clearly to senior stakeholders. • Proven experience building trusted metrics or reporting from messy or inconsistent source data (e.g. CRM, transactional systems). • Experience in energy, fintech, or another commercially complex, data-heavy sector. • Python for deeper statistical or data-quality work. • Experience building metric frameworks that connect operational activity to commercial outcomes. • Familiarity with CRM systems and parent-child/account hierarchy data structures. • Bar Raiser interview with leadership stakeholders, 45 minutes.
Responsibilities
• Pipeline & Revenue Forecasting Accuracy • Monitor the sales pipeline, catching and resolving cases where in-progress and confirmed revenue overlap or deals get double-counted. • Define and report on forecast accuracy against annual targets, setting the standard for how commercial metrics are tracked across the team. • Diagnose CRM data quality issues, such as parent-child asset relationships, that put pipeline and forecast reliability at risk. • Commercial Analysis & Insight • Carry out 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 forecast numbers. • Serve as the voice of data for the commercial team, translating complex analysis, including retention and renewal trends, into clear recommendations for senior stakeholders. • Partnership & Storytelling • Work directly with commercial and sales stakeholders to understand what "good" looks like for their metrics, and translate that into clear, agreed definitions. • Translate complex data into clear, compelling stories that inspire action among non-technical stakeholders. • Increase data adoption across the commercial team so non-technical colleagues can self-serve for routine needs.
Benefits
• £75K – £92.5K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please let us know what to call you! • If you’d like, please let us know your pronouns so we can address you respectfully throughout the process. • We need to know how to contact you. • Please let us know what excites you about this opportunity! • Please add your CV here for review. • or drag and drop here • Feel free to leave blank if you don't have one. • Where you are currently based. • We just want to make sure we're in the same ballpark before asking you to spend time interviewing. Totally fine to leave it blank if you'd rather not say right now. • Tell us about one number or piece of analysis you produced that someone senior did not believe. Who pushed back, what did you do to stand behind it (or change it), and what did it cost you (time, a relationship, being wrong in public)? • The role is hands-on, with no team to manage, and sits with our commercial team day to day. Why do you want that rather than a lead or manager role right now, and what have you done in the last 12 months that shows it? • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Asian or Asian American • Black or African American • Hispanic or Latine • Indigenous or Native American • Native Hawaiian or Other Pacific Islander • Person with disability • Refugee or immigrant • None of the above • If you agree to our Privacy Policy, and for us to retain your data for future hiring purposes, please click the "I agree" checkbox below. • Note: The consent period lasts for 2 years • Recruiting Privacy Policy
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