Intelligence Data Manager in Birmingham
Intelligence Data Manager

Intelligence Data Manager in Birmingham

Birmingham Full-Time 40000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage and optimise intelligence databases to drive revenue growth and enhance operational efficiency.
  • Company: Join a leading legal firm in Birmingham with a focus on innovation and data-driven solutions.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and a range of employee perks.
  • Other info: Dynamic role with opportunities for professional development and leadership.
  • Why this job: Transform raw data into actionable insights and make a real impact on fraud prevention.
  • Qualifications: Experience with i2 software and strong analytical skills are essential.

The predicted salary is between 40000 - 50000 £ per year.

The Intelligence Database Manager (IDM) will be responsible for the effective use, maintenance, and development of Keoghs intelligence systems to help drive revenue growth and increase operational efficiencies. This role combines analytical expertise, robust data management skills and client engagement to ensure high-quality intelligence outputs, accurate data structures, and efficient workflows are maintained. The IDM will support investigations, operational teams, and strategic decision-making by transforming raw data into clear, actionable intelligence products and help drive high-quality fraud referrals both externally and internally.

Key Responsibilities

  • Database Management
    • Manage, maintain, and optimise the organisation’s intelligence database(s), ensuring data integrity, accuracy, and consistency.
    • Create and maintain entity types, fields, data models, and controlled vocabularies.
    • Implement and monitor data quality controls, including deduplication and audit processes.
    • Manage user permissions, access levels, and security protocols in line with organisational policies.
  • Fraud Identification
    • Optimisation of all Davies Group data sources to maximise and drive internal fraud referrals.
    • Oversee data ingestion, cleansing, validation, and structuring to support analytical outputs and optimise data matching solutions.
    • Automate existing core data feeds to drive revenue growth and increase operational efficiencies.
    • Identify further opportunities to enhance the scope and volume of information and intelligence being ingested into the database.
    • Oversee querying and analysis of existing intelligence and fraud data to support CFS matters and enrich available evidence.
    • Liaise with clients with regards to optimising fraud data washing processes and opportunities.
  • Systems Development & Technical Support
    • Work with IT and operational teams to enhance database functionality, reporting tools, scope of data to be ingested, and integration with other systems.
    • Troubleshoot issues related to i2 software, database performance, and data workflows.
    • Support upgrades and configuration changes to i2 and associated systems.
    • Provide training, guidance, and support to colleagues on i2 tools and data handling best practices.
    • Create business cases for IT investment to improve, operationalise, or implement data-enrichment improvements.
  • Compliance & Governance
    • Ensure all data held complies with legal, regulatory, and organisational requirements (e.g., GDPR, data retention, audit standards).
    • Maintain accurate documentation of processes, data structures, and system changes.
    • Support internal and external audits relating to data management and intelligence processes.
  • Leadership
    • The role includes responsibility for the performance and technical development of an Intel Assistant or equivalent.
  • Financial
    • Achieve objectives and financial targets.
    • Adhere to time recording policy.

Skills, Knowledge and Expertise

Essential

  • Proven experience using i2 Analyst’s Notebook and/or i2 iBase in an analytical or intelligence environment.
  • Strong understanding of data structures, relational databases, and data quality principles.
  • Ability to identify and manage data opportunities for inclusion within intelligence systems.
  • Experience of working with clients to develop and optimise data matching solutions.
  • Ability to interpret complex datasets and present findings clearly.
  • Experience working with sensitive or confidential information.
  • Excellent attention to detail and problem-solving skills.
  • Strong communication skills, with the ability to explain technical concepts to non-technical audiences.

Desirable

  • Experience in investigations, fraud analysis, law enforcement, insurance intelligence, or similar fields.
  • Knowledge of SQL, data modelling, or ETL processes.
  • Familiarity with other analytical and data management tools (e.g., Power BI, Tableau, Egress, GIS platforms).
  • Experience developing or delivering training on analytical tools.
  • Understanding of intelligence cycle principles and analytical methodologies.

Benefits

  • Davies Incentive Plan
  • 25 days holiday per year which increases with level of service (opportunity to buy & sell 3 days)
  • Family Cover Private Medical Insurance (Bupa)
  • Simply Health Care Cash Plan
  • WeCare – 24/7 online GP, mental health support and virtual wellbeing covering a whole host of topics to do with health, mental health, wellbeing & healthy living and financial & legal wellbeing
  • Death in Service
  • Critical Illness Cover
  • PHI/Income Protection (Private health insurance)
  • Pension Contribution based 5% Employee / 3% Employer
  • Employee Resource Groups
  • Employee Volunteering Programme
  • Cycle to Work Scheme*
  • Tech Scheme*
  • Season Ticket Loan*
  • Gym Flex*
  • Access to Online Discount Sites
  • Discounted Gourmet Society Membership
  • Discounted Tickets for Merlin Attractions nationwide
  • Discounts at local retail outlets

* after successfully completing probation

Intelligence Data Manager in Birmingham employer: Davies

At Keoghs, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Birmingham that fosters professional growth and collaboration. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, including private medical insurance, flexible working options, and a supportive culture that encourages continuous learning and development. Join us to be part of a forward-thinking team where your contributions directly impact our success and drive meaningful change in the intelligence sector.
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Contact Detail:

Davies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Intelligence Data Manager in Birmingham

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and role thoroughly. Understand their values, recent projects, and challenges they face. This will help you tailor your answers and show you're genuinely interested.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you get comfortable with common questions and refine your responses, making you more confident when it counts.

✨Tip Number 4

Don't forget to follow up after interviews! A quick thank-you email can leave a lasting impression and keep you on their radar. Plus, it shows your enthusiasm for the position!

We think you need these skills to ace Intelligence Data Manager in Birmingham

i2 Analyst’s Notebook
i2 iBase
Data Structures
Relational Databases
Data Quality Principles
Data Matching Solutions
SQL
Data Modelling
ETL Processes
Power BI
Tableau
Analytical Methodologies
Communication Skills
Attention to Detail
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Intelligence Data Manager role. Highlight your experience with i2 tools and data management, as well as any relevant projects that showcase your analytical skills.

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work to illustrate how you've successfully managed databases or optimised data processes. This will help us see how you can add value to our team.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience and skills without having to decipher complex terms.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Davies

✨Know Your Data Inside Out

As an Intelligence Data Manager, you'll be dealing with complex datasets. Make sure you brush up on your knowledge of data structures and relational databases. Be prepared to discuss how you've managed data integrity and quality in past roles.

✨Showcase Your Analytical Skills

This role requires strong analytical expertise. Bring examples of how you've transformed raw data into actionable intelligence. Be ready to explain your thought process and the tools you used, especially if you have experience with i2 Analyst’s Notebook or similar software.

✨Communicate Clearly

You'll need to explain technical concepts to non-technical audiences. Practice articulating your ideas clearly and concisely. Consider preparing a brief presentation or example that demonstrates your ability to communicate complex information effectively.

✨Prepare for Client Engagement Scenarios

Client interaction is key in this role. Think of instances where you've worked with clients to optimise data solutions. Be ready to discuss how you approached these situations and what outcomes you achieved, showcasing your problem-solving skills and attention to detail.

Intelligence Data Manager in Birmingham
Davies
Location: Birmingham

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