Business Data Analyst

Dartford
9 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst

Senior Business Data Analyst

Remote Data Analyst & Maps Researcher

Senior Business Data Analyst — Power BI & ERP Analytics

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.