Lead Product Performance Data Analyst, Global
Vantage Data CentersLondon, England
Full Time
Posted September 15, 2026
£27k - £29k· Est.
Apply Now
Application opens on company website
Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Climate Technology
- Pay provenance
- Estimated benchmark; not employer-provided
Job Description
The Product team at Vantage defines and stewards our global product platform: the customer outcomes we aim to deliver, the standards and reference approaches that make delivery repeatable, and the closed-loop learning that turns each deployment into an upgrade for the next.
Key Responsibilities
- You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures; source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top.
- You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time, and you will work with Developers and IT to progressively tool and automate it.
- Your work will be directly used by product managers, engineering, procurement, solutions, construction delivery, and operations executives to drive decisions on product direction, priorities, and customer experience.
- Define, build, and maintain a targeted set of common KPIs and analytics views for Vantage leadership to evaluate product performance, compare with baselines, and make decisions.
- Maintain benchmark datasets, structured workbooks, schemas, data dictionaries, stable identifiers, and the integrated WBS, cost, and schedule hierarchy.
- Validate and rationalize digital supplier, consultant, and internal submissions against required fields, permitted values, and naming standards.
- Run QA checks for duplicates, missing metadata, broken mappings, orphan records, version issues, and reference integrity failures.
- Maintain source grade, confidence level, base date, currency, escalation basis, assumptions, and ownership metadata.
- Reconcile maintained data against RFPs, general contractor estimates, consultant data, internal delivery actuals, and market evidence.
- Support variance analysis by maintaining clear, comparable baseline and reference-point data, and by flagging data movements, gaps, or inconsistencies that require review.
- Support the closed feedback loop from project data and benchmark refreshes back into product performance decisions by ensuring lessons from validated outcomes are captured in the governed data foundation.
- Maintain regional factor-pack inputs and support configuration bridge analysis, sensitivity reporting, and regional variant data maintenance.
- Maintain change logs, assumptions logs, validation reports, and refresh-cycle records, and provide analytical input to benchmark refresh decisions.
- Populate, validate, and reconcile baseline refresh inputs against approved source data, assumptions, and reference points.
- Gather, normalize, and reconcile internal cost, schedule, and change data to bridge project baseline, approved business case, and estimate-at-completion reference points.
- Support variance analysis explaining movements between baselines and reference points, clearly separating data-quality issues from genuine performance movements.
- Support techno-economic analysis for new products or solutions in partnership with product managers and engineers.
- Build and maintain Power BI dashboards and analytical views across baseline and reference points, supporting multiple reporting levels.
- Assist developers and IT with tooling the dataset by translating data requirements, field definitions, validation rules, and reporting needs into build-ready requirements, and automate validation, reporting, and import routines over time.
Requirements
- 4–7 years of experience in data analysis, analytics engineering, data management, project controls analytics, commercial analytics, or capital-project data. Exceptional candidates with fewer years may be considered where they demonstrate strong SQL, Power Query/Power BI, data modeling, validation, documentation, and controlled data maintenance, with relevant exposure to cost, schedule, or project data.
- Advanced analytical foundation in Excel and Power Query, SQL and Power BI or equivalent tools.
- Demonstrated data management ability to structure, validate, reconcile, and document complex datasets from multiple sources, including ambiguous or messy source data.
- Strong understanding of data modeling concepts and practices, including schemas, keys, reference data, hierarchy, and lineage.
- Experience maintaining controlled data structures including shared coding, mappings, reference tables, and hierarchy management.
- Experience building repeatable data quality and validation regimes including QA checks, reconciliation, audit logs, refresh protocols, and exception reporting. Demonstrated business data reasoning and judgement including the ability to identify inconsistencies, explain variances, and separate signals from data-quality noise.
- Strong communication and documentation discipline: ability to clearly explain and document assumptions, explain confidence levels, and support stakeholders using the data or reports, with attention to data quality.
- Experience with capital projects, construction, infrastructure, data centers, utilities, or natural resources domains, particularly in estimating, cost control, or owner’s representative environments.
- Familiarity with cost data, unit rates, quantities, WBS/CBS, project controls, EAC, estimating data, change data, and benchmark reference points.
- Experience with Databricks, Microsoft Fabric, Snowflake or equivalent data lake platforms and associated data governance services.
- Dimensional data modeling or semantic model design for Power BI or similar platforms.
- Python experience for data transformation, automation, validation, and analysis, including Pandas, NumPy or similar libraries.
- Experience with ETL/ELT workflows, automated validation routines, controlled data refreshes, or data pipeline documentation.
- Exposure to benchmarking, normalization, regional factors, configuration bridges, confidence frameworks, or variance attribution.
- Experience working with Developers and IT to translate dataset requirements into tooling, automation, and reporting specifications.
- #LI-JH1
- #LI-Hybrid
- We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.
- Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
- Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.
- Vantage does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage.
Ready to Apply?
Apply directly on Vantage Data Centers's site
Get new power and energy jobs weekly
New jobs across data centers, grid, nuclear, storage, generation, and renewables. One email a week.
Job Alerts
Get alerts for jobs like this one
More at Vantage Data Centers
Similar Jobs
More jobs at Vantage Data Centers
Similar jobs in Climate Technology
More jobs in London, England
Is this your company?Claim your listing free →