Data Analyst

ALH Recruitment
Kirton, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Data Analysis Business Systems Data Validation Extract Transform Load (ETL) Data Retrieval Data Visualization Database Queries Excel Formulas Powerpivot Power BI
+5 more
Standard Sql SQL Databases Tableau (Software) Powerquery Qlikview

Job description

We’re looking for a Data Analyst to join our client’s team and help turn data from across the business into clear, actionable insight. You’ll work closely with operations, sales and finance to pull data from our ERP, CRM and other core systems, clean and transform it, and build dashboards and reports that support day-to-day decision-making.

This is a hands-on role for someone who enjoys getting into the detail of messy data and turning it into something people can actually use.

What You’ll Be Doing

Extracting data from our ERP, CRM and other business systems

Cleaning, transforming and validating data to ensure accuracy and consistency

Designing and building dashboards and reports for different teams across the business

Writing and optimising SQL queries to pull and manipulate data from multiple sources

Identifying trends, patterns and opportunities for improvement through data analysis

Working with stakeholders to understand reporting needs and translate them into practical solutions

Maintaining and improving existing reports and data models over time

Requirements

Working knowledge of SQL (writing queries, joins, aggregations)

Experience with a data visualisation tool such as Power BI, Tableau or Qlik

Power BI and DAX experience preferred

Experience extracting and working with data from ERP and/or CRM systems

Comfortable cleaning and transforming raw, imperfect data

Good attention to detail and a methodical approach to problem-solving

Strong communication skills, able to explain data findings to non-technical colleagues

Nice to Have

Experience with Power Query / ETL tools

Familiarity with Excel (advanced formulas, Power Pivot)

API knowledge

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