Business Data Analyst

We are seeking an astute Global Business Data Analyst to join a Accounting & Finance department. This role calls for a detail-oriented professional capable of evaluating business process, anticipating requirements, uncovering areas for improvement, and implementing solutions.

Client Details

Our client is a well-established, large organisation in the industrial / manufacturing industry. With a strong presence across the UK, they pride themselves on producing high-quality products for their industry sector.

Description

• This role will play a key role in centralising and
  structuring business data, developing insightful reporting, and supporting strategic initiatives with actionable insights. With the business currently operating across disparate systems-including Excel and Smartsheets and transitioning to a global ERP (Epicor) This role will be instrumental in consolidating and managing data feeds, implementing a structured reporting framework, and ensuring high data integrity for business decision-making.
• Consolidate existing data from across the business into a central repository for structured analysis via Power BI.
  
• 
  Design and implement a Master Data Management (MDM) approach for use in the upcoming ERP system.
• Serve as a key stakeholder in the ERP implementation, ensuring a smooth transition of data and integration of systems.
• Ensure consistency in data formatting and reporting, delivering a unified picture of business performance before and after ERP implementation.
• Develop a data cube to allow consistent slicing and interrogation of business data, reconciling data to the finance system across all three entities to create a single source of truth.
• Define, develop, and manage company-wide and departmental KPIs to track business performance.
• Centralise data feeds and build insightful dashboards within Power BI.
• Establish and manage the monthly submission process to ensure accurate and timely reporting.
• Deliver regular reports and analyses that support operational and strategic decision- making.
• Work closely with the sales and marketing teams to develop actionable market data based on market models and product pipeline insights.
• Support targeted marketing efforts by identifying key opportunities and trends in customer behaviour.
• Measure and analyze marketing return on investment to guide future investment decisions and growth strategies.
• Conduct ad hoc analyses and provide insights to support senior management in decision-making.
• Identify opportunities for process improvements and automation within data reporting and business intelligence functions.
• Support leadership in long-term strategic planning through robust data modelling and scenario analysis.

Profile

A successful Business Data Analyst should have:

• Proven experience as a Data Analyst, Business Intelligence Analyst, or similar role within amulti-entity business.
  
• Strong proficiency in Power BI, Excel (advanced), SQL, and data visualization techniques.
• Experience with ERP systems (Epicor preferred) and knowledge of data migration and MDM best practices.
• Understanding of finance systems, data reconciliation, and KPI reporting structures.
• Ability to consolidate and structure large, disparate datasets for effective decision-making.
• Strong commercial acumen with the ability to translate data insights into strategic recommendations.
• Excellent communication and stakeholder management skills.
• Ability to thrive in a fast-paced, high-growth environment and drive data-led improvements.

Job Offer

• A competitive salary
• A pension scheme.
• 25 days of annual leave.
• 40-hour work week.
• An opportunity to be part of a large organisation within the industrial / manufacturing industry.
• Predominantly office-based work in a supportive and professional environment.

We welcome applications from all suitably qualified and experienced Business Data Analysts.

Please make sure the location is listed on your CV before applying as is a realistic commute. If you are open to a relocation please let me know.