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Data Analyst

Job details
Posting date: 08 January 2026
Hours: Full time
Closing date: 07 February 2026
Location: E11 1HP
Remote working: On-site only
Company: Unipuler Ltd
Job type: Permanent
Job reference: Data Analyst (govt-spn)

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Summary

We’re looking for a detail-oriented **Data Analyst** to help turn data into clear insights that support business decisions. You’ll work with stakeholders across teams to collect, clean, analyse, and report on data—building dashboards and actionable recommendations to improve performance and efficiency.

### Key Responsibilities

* Collect, clean, and validate data from multiple sources (CRM, web, finance, operations, etc.)
* Build and maintain reports and dashboards (daily/weekly/monthly)
* Analyse trends, KPIs, funnels, and performance metrics to identify opportunities
* Create clear insights and recommendations for leadership and teams
* Automate recurring reports and improve data workflows
* Support data quality and consistency (definitions, documentation, governance basics)
* Work with developers/IT to ensure tracking and data pipelines are reliable
* Present findings in a clear, non-technical way

### Required Skills & Experience

* Proven experience as a Data Analyst (or similar)
* Strong skills in **Excel/Google Sheets** (pivots, formulas, data cleaning)
* Good knowledge of **SQL** (queries, joins, aggregations)
* Experience with BI tools (e.g., **Power BI, Tableau, Looker Studio**)
* Strong analytical thinking and problem-solving
* Ability to communicate insights clearly to non-technical stakeholders
* High attention to detail and data accuracy

### Desirable (Nice to Have)

* Python (Pandas) or R for analysis and automation
* Experience with Google Analytics / event tracking
* Familiarity with ETL concepts, APIs, or data warehousing
* Experience in recruitment/marketplace/e-commerce/consultancy analytics

### What We Offer

* Competitive salary **£30k–£60k** depending on experience
* Supportive team, growth opportunities, and varied projects
* Chance to shape reporting and analytics across the business

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