Business Intelligence Developer - Power BI Specialist

Michael Page

Milton Keynes, UK

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£60,000.0 - £65,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Data Integration Extract Transform Load (ETL) Data Visualization Database Queries Power BI Standard Sql SQL Databases Information Technology Data Analytics Tools for Reporting

Job description

Develop and maintain business intelligence solutions using Power BI.
Collaborate with teams to gather and analyse business requirements for analytics and reporting.
Work closely with FP&A teams to contribute to budgeting, forecasting, and scenario modelling by providing data-driven inputs and tools, building models that reflect business drivers and trends to improve forecast accuracy and agility in planning cycles.
Create and optimise dashboards and visualisations to support decision-making processes.
Ensure data accuracy and integrity across all reporting tools and systems.
Provide technical support and training to end-users on business intelligence tools.
Identify opportunities to improve data processes and implement solutions.
Integrate various data sources to provide comprehensive insights.
Apply ETL techniques (Extract, Transform, Load) for cleaning and consolidating data from different sources using SQL and other tools.
Maintain documentation for all analytics tools and processes.

Requirements

Expert user of Power BI.
Proficient in SQL, DAX, and database querying for efficient financial data structuring.
Strong analytical and problem-solving skills.
Experience in the industrial/manufacturing industry is preferred.
Knowledge of data integration and management techniques.
Ability to create clear and effective data visualisations.
Excellent communication skills to engage stakeholders.
Proactive approach to identifying and implementing improvements.
Degree in a relevant field such as Computer Science, Data Analytics, or similar.