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# Data Analyst

- **Company:** PayPoint plc
- **Location:** Welwyn Garden City, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Programming, Extract Transform Load (ETL), Python (Programming Language), Performance Tuning, Power BI, Salesforce.Com, SQL Databases, Data Processing, Statistics Packages
- **Published:** July 16, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=3c9cf10d67e02329

## About the Role

* Hands on experience dedicated to Power BI report development
 * Deep, practical understanding of DAX evaluation context, variables and performance-tuning techniques
 * Proficiency in data manipulation and programming in SQL.
 * Excellent communication and presentation skills.
 * Analytical mindset with excellent problem-solving skills.
 * Ability to understand business requirements and effectively communicate results.
 * Strong teamworking skills and a collaborative approach.
 * Attention to detail and a passion for prioritising customer needs.
 * A positive can-do attitude.

It would be great if you already have…

 * Salesforce reporting experience.
 * Understanding of ETL processes.
 * Knowledge of customer segmentation techniques and predictive analytics.
 * Experience in campaign and impact analysis.
 * Knowledge of best practices within SQL and Statistical Programming Languages (Python/R).

## Description

At PayPoint, we're committed to fostering an inclusive culture where everyone can thrive and contribute to our success. As a Data Analyst, you'll have the opportunity to make a real impact by translating data into meaningful insights that drive decision-making processes and support business growth.

What will you be doing?

Your role will involve a variety of responsibilities, including:

 * Building fully automated reports to provide valuable insights to stakeholders and support decision-making.
 * Tracking key performance indicators (KPIs) across the business to ensure effective monitoring and analysis.
 * Collaborating with stakeholders and the Business Intelligence team to identify improvement opportunities and propose data-driven solutions.
 * Developing dynamic reporting that effectively communicates how our customers or clients interact with our business.
 * Evaluating the effectiveness of data sources and data-gathering techniques to enhance analysis and reporting.
 * Staying up-to-date with the latest technology, techniques, and methods in data analysis.


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