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Business Data Analyst

Dartford
2 months ago
Applications closed

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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

National AI Awards 2025

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