Data Operations & Intelligence Manager

Search-Select LTD; Douglas; On-site; GBP 60,000 - 90,000; Full time

Job summary

Search-Select LTD in the United Kingdom seeks an experienced data governance and analytics lead to manage group data lakes, BI systems, and privacy compliance. You bridge IT and business managers by transforming raw data into actionable intelligence to support decision making.

You will lead a small data team, ensure data quality and regulatory compliance (GDPR), and collaborate with stakeholders to deliver insights via Power BI, Tableau, and other BI tools.

Qualifications

• Educated to degree level in IT, Computer Science or statistical methods, with relevant experience.
• 3+ years in similar role.
• Experience analysing complex data and providing insights to support decision making.
• Collaborating with cross-functional stakeholders to deliver solutions.
• Proven experience in a data management role.
• Manage and develop a small data team with mentoring.
• High accuracy and attention to detail.
• Strong analytical and problem-solving skills.
• Organised and able to manage multiple priorities.
• Proactive and collaborative approach.
• Strong communication and interpersonal skills.
• Knowledge of data governance, quality, and lifecycle management.

Responsibilities

• Data Governance & Policy: Establish and maintain data policies across the business.
• Quality Assurance: Develop protocols to clean, validate, and eliminate errors from datasets.
• Database Management: Design, configure, and maintain database platforms and CRM systems.
• Compliance & Security: Ensure data handling complies with GDPR and confidentiality.
• Stakeholder Collaboration: Translate business needs into data requirements and present insights.
• Stay informed of trends and opportunities to improve data processes.

Skills

Data governance

SQL

Python

Data modelling

ETL

Power BI

Tableau

Stakeholder comms

Education

Degree in IT/CS

Tools

SQL Server

Oracle

SSIS

SSAS

Power BI

Job description

Role Profile

To manage the Group data lakes, management information and business intelligence systems, designing databases, enforcing quality standards, and ensuring compliance with privacy and security regulations. To bridge the gap between technical IT teams and business managers by transforming raw data into actionable intelligence, ensuring the organisation's data is accurate, secure and effectively managed to support business decision making.

Key Responsibilities

• Data Governance & Policy: Establish and maintain policies for data collection, storage, and sharing across the business.
• Quality Assurance: Develop protocols to clean, validate, and eliminate errors from datasets.
• Database Management: Design, configure, and maintain database platforms and CRM systems.
• Compliance & Security: Ensure data handling protocols comply with regulatory standards (e.g., GDPR) and maintain strict confidentiality.
• Stakeholder Collaboration: Translate business needs into data requirements and present insights using reporting and visualization tools.
• Stay informed of emerging trends, technologies, and best practices in data management and analytics and identify opportunities to improve data processes.

Key Skills and Experience

• Education - Educated to degree level in IT, Computer Science or statistical methods, with relevant experience
• Experience - 3+ years in similar role
• Experience analysing complex data, identifying trends, and providing actionable insights to support business decision-making.
• Experience collaborating with cross-functional stakeholders to understand data requirements and deliver effective solutions
• Proven experience in a similar role
• Manage and develop a small, high performing data team, including mentoring, 1:1s and continuous improvement initiatives
• Key High level of accuracy and attention to detail
• Strong analytical and problem-solving skills
• Organised and able to manage multiple priorities
• Proactive and collaborative approach
• The ability to motivate and guide team members
• Strong communication and interpersonal skills
• Advanced proficiency in programming languages and database systems like SQL, Python, Oracle
• Solid understanding of data modelling / warehousing concepts and modern enterprise data architecture principles
• Knowledge of ETL development and Data Pipeline orchestration using Apache Kafka & SSIS
• SSAS Tabular Model development, DAX calculations/optimization, and Kimball-style dimensional data modelling (Star/Snowflake schemas)
• Data Visualization: Experience utilizing platforms such Power BI & SSRS, or similar BI software such as Tableau.
• Analytical & Problem-Solving: Ability to evaluate integrity and interpret inconsistencies across large, complex datasets.
• Business Intuition: Understanding strategic organizational goals and identifying exactly what data is needed to measure success
• Communication: Ability to explain complex technical processes and present data-driven findings clearly to non-technical stakeholders.
• Strong understanding of data governance, quality, and lifecycle management