Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester
Enterprise Data & Analytics - Analytics and Insights - Consultant

Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester

Manchester Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative analytics projects and transform data into actionable insights.
  • Company: Join Capgemini Invent, a leader in inventive transformation consulting.
  • Benefits: Enjoy flexible working, competitive salary, and a focus on employee wellbeing.
  • Why this job: Make a real impact with cutting-edge technology and creative solutions.
  • Qualifications: Experience in analytics, data modelling, and stakeholder management required.
  • Other info: Be part of a diverse team committed to positive social impact.

The predicted salary is between 36000 - 60000 Β£ per year.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

YOUR ROLE

Join a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients. In this role you will play a key role in:

  • Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products.
  • Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration.
  • Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance.
  • Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms.
  • Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights.
  • Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes.
  • Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.

This role also provides opportunities to contribute to the broader business through:

  • Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
  • Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.
  • Learning & Development – Training to support your career development and the skills demand within the company, certifications etc.

YOUR PROFILE

We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:

  • Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience.
  • Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes.
  • Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery.
  • Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI.
  • A passion that is contagious for your chosen Industries.

Analytical Skills: Hands-on experience in:

  • Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation.
  • Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.

Analytics technologies: Hands-on experience in at least two of the following:

  • Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus.
  • Programming languages such as Python, R or SQL.
  • Cloud platforms experience such as AWS, Azure or GCP.
  • Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica).

Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.

Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks.

Security Clearance Eligibility: Must be eligible for SC clearance.

And experience in at least one of the following:

  • Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions.
  • Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights.
  • Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.

Desirable Skills:

  • Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis.
  • Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value.
  • Experience in ingestion, integration, data engineering, data quality and observability, dataset identification.
  • Experience in business case development and financial modelling.
  • Experience supporting client proposals, RFPs, bids and proposition development.

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained β€˜Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.

CSR: We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.

Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester employer: Capgemini

At Capgemini Invent, we pride ourselves on fostering a vibrant and inclusive work culture that champions diversity and innovation. Our commitment to employee growth is evident through tailored training programmes and flexible working arrangements, ensuring a healthy work-life balance. Located in major cities like Manchester, Glasgow, and London, we offer unique opportunities to engage in impactful projects that drive transformation while making a positive social impact.
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Contact Detail:

Capgemini Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by researching the company and its projects. Show them you’re not just another candidate; you’re genuinely interested in what they do and how you can contribute.

✨Tip Number 3

Practice your storytelling skills. When discussing your experience, frame it in a way that highlights your impact and how you tackled challenges. Make it relatable and engaging!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester

Data Modelling
Statistical Analysis
Machine Learning
Advanced Analytics
Power BI
Tableau
Qlik
Looker
Power Platform
Python
R
SQL
AWS
Azure
GCP
Stakeholder Management
Presentation Skills
Project Management
Agile Methodologies
Scrum
Kanban
SAFe Frameworks
Product Ownership
Data Transformation
Solution Architecture
UX Design
KPI Framework Development
Business Case Development

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the role of Analytics and Insights Consultant. Highlight relevant experience, especially in data modelling and analytics technologies, to show us you’re the perfect fit for our team.

Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in consulting and analytics. Use it to showcase your passion for driving transformation and how your skills align with our mission at Capgemini Invent.

Showcase Your Technical Skills: Don’t forget to highlight your hands-on experience with tools like Power BI or programming languages such as Python. We want to see how you can contribute to our innovative solutions right from the get-go!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of your journey with us!

How to prepare for a job interview at Capgemini

✨Know Your Data Inside Out

As an Analytics and Insights Consultant, you’ll need to demonstrate a solid understanding of data modelling and analytics technologies. Brush up on your knowledge of tools like Power BI, SQL, and any relevant cloud platforms. Be ready to discuss specific projects where you've successfully transformed data into actionable insights.

✨Showcase Your Consultancy Skills

This role requires strong stakeholder management and storytelling abilities. Prepare examples from your past experiences where you simplified complex data challenges for clients. Highlight how your consultancy background has helped businesses leverage data for transformation.

✨Familiarise Yourself with Agile Methodologies

Since the position involves managing agile planning and execution, make sure you’re comfortable discussing agile methodologies like Scrum or Kanban. Bring examples of how you’ve applied these frameworks in previous projects to ensure successful delivery of analytics solutions.

✨Prepare for Technical Questions

Expect technical questions related to data engineering, machine learning, and analytics product design. Brush up on your programming skills, especially in Python or R, and be prepared to discuss how you’ve used these skills to create innovative data solutions in the past.

Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester
Capgemini
Location: Manchester

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  • Enterprise Data & Analytics - Analytics and Insights - Consultant in Manchester

    Manchester
    Full-Time
    36000 - 60000 Β£ / year (est.)
  • C

    Capgemini

    300,000+
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