Business Intelligence and Data Manager

hackajob is collaborating with Flowtech to connect them with exceptional tech professionals for this role.

Business Intelligence and Data Manager

Responsible to: Group Marketing, Technology and Innovation Director Department: IT Job Level: 3 Location: Skelmersdale & Wilmslow

Purpose of role: To lead the organisation's business intelligence and reporting functions, delivering a single source of truth by integrating and managing data

across traditional IT systems, ERP platforms, and emerging digital sources. This role ensures the delivery of accurate, consistent, and actionable insights through

robust BI solutions, enabling data-driven decision-making while maintaining rigorous data governance and compliance.

Key Responsibilities

Develop a comprehensive business intelligence strategy by integrating data from IT systems, ERP platforms, and digital sources to enable data-driven

decision-making aligned with the organisation's digital transformation.

Enhance strategic and operational decision-making by designing and implementing robust BI and reporting tools that provide actionable insights.

Improve data quality and security under strict governance frameworks by managing the consolidation of data from traditional IT systems and digital platforms

into a unified source of truth.

Establish and maintain a rigorous data governance framework to ensure data accuracy, consistency, and compliance, particularly aligning with regulations like

GDPR.

Lead the build, management and optimisation of data warehouses and BI platforms, including the integration of IoT and digital data to support efficient and real-

time analytics.

Document and align reporting and analytics requirements with business objectives in collaboration with IT and business units, facilitating the implementation of

advanced analytics and AI.

Drive enhanced customer insights and improve digital sales performance by partnering with digital marketing and e-commerce teams to harness data from new

digital sources.

Promote continuous improvement and innovation in data management and analytics by providing leadership to data teams.

Boost efficiency and enhance user experience, especially for new digital platforms, by overseeing BI systems and tools and implementing necessary

enhancements.

Ensure consistent data usage across the organisation and promote knowledge sharing by creating and maintaining a data dictionary and related

documentation to enable reliance on data management.

Uphold rigorous governance of data integration and management practices by ensuring compliance with data-related standards.

Lead the adoption of cutting-edge BI technologies and methodologies and spearhead predictive analytics and AI to optimise business processes.

Company Behaviours

Continuously develop professionally by engaging in external networking, conferences, associations, and groups to stay current and innovative within your role.

Maintain a positive and solution-oriented approach while providing open and honest feedback.

In all internal and external interactions, present a professional and positive image of the Group while fostering mutually constructive and beneficial

relationships.

Take all reasonable steps to ensure appropriate confidentiality.

Undertake other duties, training, and/or work hours as reasonably required and consistent with this role's general level of responsibility.

Business Intelligence and Data Manager

Relationships & Special

Requirements

Measurements Person Specification

Key Relationships

CFO

CEO

Business Leaders

External IT Suppliers and Third-

Party

Software Providers

Head of Programs and Business

Systems

Head of Technology

Product Owners

Responsible For (direct Reports)

Data Scientist

Data Engineers

Data Analyst

Responsible For (indirect Reports)

Web Analyst

Special Requirements

Willingness to travel within the UK,

Ireland & Benelux

Availability for out-of-hours support

(on a rotational basis)

Flexible working arrangements with

the ability to work remotely and

frequent onsite visits as required.

KPI themes

Data Accuracy and Consistency - Ensuring validated

and consistent data across systems.

Single Source of Truth Delivery - Progress in unifying

data sources into a centralised platform.

Reporting Efficiency - Speed and automation of report

generation.

Data Governance Compliance - Adherence to

regulatory standards and governance frameworks.

BI Adoption Rate - Usage of BI tools and platforms by

business units.

System Integration Success - Number of successful

data integrations across systems.

User Satisfaction - Stakeholder feedback on BI tools

and data quality.

Data Infrastructure Performance - Uptime and

reliability of data platforms.

Team Development - Training completed and

certifications achieved.

Process Optimisation - Time and resource efficiency

improvements.

AI and Advanced Analytics Implementation -

Deployment of predictive models and analytics tools.

Digital Data Utilisation - Insights derived from digital

sources like e-commerce and IoT.

Competencies

Drives Results

Business Acumen

Customer Focus

Planning & Organising

Collaboration

Communicates Effectively

Develops Talent

Critical Thinking

Tech Savvy

Action-Oriented

Adaptability

Essential

Proven experience delivering business intelligence

solutions and managing data governance

frameworks.

Bachelor’s degree in business, analytics, computer

science, or a related field, or equivalent experience.

Strong expertise in data integration, reporting tools,

and DWH/BI platforms, including SQL and Power

BI.

Demonstrated ability to ensure data accuracy,

consistency, and security.

Experience managing large-scale reporting projects

aligned with organisational goals.

Deep knowledge of data compliance requirements

like GDPR.

Desirable

Experience in industrial distribution or engineering

sectors.

Background in digital-first organisations.

Strong leadership and communication skills, with a

track record of effective team and senior

management collaboration.

Experience integrating IoT solutions into IT

infrastructure.

Familiarity with Anaplan and cloud-based BI

solutions.

Industry-recognised certifications in project

management, cybersecurity, and cloud services.

Skill in Python and scalable implementations.

Practical experience with AI and ML to optimise

business processes and decision-making.

Expertise in data management, analytics, and

visualisation tools to drive data-driven decision-

making.

Proficiency in using advanced data technologies for

predictive maintenance and innovation.

Experience in agency-side development of software

services.