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# Data Analyst

- **Company:** Arrow Global
- **Location:** Manchester, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Information Systems, Data Discovery, Information Engineering, Data Profiling, Python (Programming Language), Reference Data, Power BI, Standard Sql, SQL Databases, Unstructured Data, Information Technology, Data Management
- **Published:** August 1, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb371566de974ca3ba5de8b11e51631c2c/eaa

## About the Role

* Degree in Computer Science, Information Systems, Statistics, or a related field is preferable
 * Proven experience in a Data Analyst / Business Intelligence / Analytics role, ideally in financial services or alternative investments
 * A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
 * Resourceful, motivated self-starter with strong attention to detail.
 * Thrives in a fast-paced environment where processes and datasets are evolving.
 * Strong analytical, verbal, and written communication skills
 * Expert level proficiency in Excel & SQL is a must
 * Power BI experience a plus
 * Working experience with Python a plus

## Description

We are building a new, data-focused team and are looking for experienced Data Analysts who are passionate about Data to come work with us. In this role, you will quickly interpret and validate data, identify key trends & drivers, and clearly present findings to the broader team. The ideal candidate is inquisitive, detail-oriented, and highly analytical, with hands-on Excel and SQL skills. Ultimately, the Data Analyst must thrive on 'being in the data' and partner closely with Data Stewards and Data Engineering to ensure data is well understood, well governed, and processed reliably at scale.
Key Responsibilities

 * Exploratory Data Analysis of structured and unstructured datasets
 * Extensive Data Profiling using Excel, SQL and bespoke tools
 * Segmentation, anomaly/outlier detection, trending analysis
 * Reconcile and validate data across multiple sources
 * Present findings in plain language, including limitations and confidence levels
 * Support Data Stewards with Data Discovery & Insights
 * Support Data Engineering in the onboarding/integration of new datasets
 * Ensure proper handling of sensitive data (PII)


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