Data & Analytics Manager

Eastleigh
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

IT Specialist - Enterprise Data Governance

Data Engineer

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data & Analytics Manager
Location: Eastleigh, Hampshire (Predominantly Onsite)
Salary: £50k-£65k+ Bonus + Benefits

Deerfoot Recruitment is assisting a well known and respected organisation on the South Coast with the search for an experienced Data & Analytics Manager. This is a fantastic opportunity for a strategic leader to drive data management, business intelligence, and application support functions within a dynamic and evolving business.

The Data & Analytics Manager will lead a dedicated team of analysts and support specialists, ensuring the accuracy, security, and strategic use of data across all areas of the business. The post holder will enable data-driven decision-making, oversee the delivery of actionable business intelligence, and ensure the stability and continuous improvement of core business systems. This is a key role in the company's digital transformation journey.

Key Responsibilities:

Lead and develop the Data, BI, and Application Support team, fostering a high-performance culture.

Define and implement best practices in data management, governance, and compliance (including GDPR).

Deliver timely, actionable business intelligence reporting to support decision-making.

Oversee the support, maintenance, and enhancement of critical business applications, ensuring minimal downtime and SLA compliance.

Collaborate with IT, operational teams, and third-party vendors to integrate and improve systems.

Drive digital transformation initiatives and promote a culture of continuous improvement.

About You:

Proven experience in a similar data, BI, or analytics leadership role.

Proficient with BI tools (e.g., Power BI), SQL Server, and cloud-based data platforms (e.g., Microsoft Azure).

Strong knowledge of data governance, GDPR, and compliance best practices.

Experience supporting business-critical applications and ERP/CRM systems.

Excellent communication and stakeholder management skills.

Familiarity with project governance frameworks such as ITIL, Prince2, or Agile.

Rewards & Benefits:

Competitive salary and performance-related bonus

Bespoke induction and ongoing training

Enhanced family leave and life insurance

Healthcare cash plan

Company pension scheme

23 days holiday (plus bank holidays), increasing with service

Staff discounts and additional perks

This is a predominantly onsite position based in Eastleigh, near Southampton. If you are a strategic thinker with a technical foundation and a passion for unlocking the power of data, Deerfoot would like to hear from you.

Apply now to be considered for this exciting opportunity.

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy

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.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 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.