Analytics Consultant

Coeo
Ashford
1 month ago
Applications closed

Related Jobs

View all jobs

Analytics Consultant

Market Risk Quantitative Analytics Consultant (Contract)

Senior Business Intelligence Consultant

Project Consultant

Data Consultant (Azure and D365) - Remote - £45k - £65k

Data Engineer

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and commercial experience working with Microsoft Data Services to help our clients optimise their costs and maximise the benefits from their investments in these technologies.

Coeo have a strong emphasis on consulting skills, and we expect our team members to be customer facing and have a growth mind-set. This role sits within our consulting team and we have clear expectations that our team members understand the importance of personal utilisation and have the ability to spot opportunities within our clients that can be passed back to our business development team. Coeo has been established for over 14 years and has exclusively focused on Microsoft technologies. Our mission is tohelp our clients predict their futurethrough the better use of data, technology, people and processes. To do this our business has always focused on:

  • Managed Services
  • Database Consultancy
  • Data Engineering and Analytics Consultancy
  • Adoption and Change Management

There has never been a more exciting time to join us, we're a fast-growing professional services and managed services business. Due to consistent growth, it is enabling us to expand out our project management and delivery teams.

There will be at times, a requirement to travel, visiting client sites across the UK and occasionally abroad, with nights away from home.

Key Responsibilities:

  • Development and delivery of analytics projects.
  • Understanding project scope and be capable of raising risks and issues to the internal team where required.
  • Delivering technical solution designs and architectures to meet client requirements.
  • Effectively gather client requirements using interviews and workshops to ask clarifying questions when needed with the support.
  • Recommend the optimal solution and approach for an analytics architecture that will deliver on the client requirements.
  • Using the Kimble methodology to design and develop effective data models where appropriate.
  • Create a compelling data driven narrative through effective use of data visualisation.
  • Ability to understand and articulate the importance of change management, user training, adoption & support.
  • Set high standards for self on adhering to information and security practices and processes to protect personal data and maintain the integrity of Coeo and its customer.

Technical Skills:

You'll need to have experience with some of the following and be able to learn new technologies or concepts quickly:

  • Experience with Microsoft Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks and/or Microsoft Fabric.
  • Experience in modelling, building and managing data warehouses to store and organize large volumes of data, as well as the implementation of Lakehouse architectures.
  • Proficiency in designing and implementing ETL/ELT processes to integrate data from different sources.
  • Proficiency in SQL and Python for data analysis, transformation and machine learning.
  • Familiarity with Hadoop and Spark for large-scale data processing.
  • Good knowledge of tools like Power BI for data visualisation and presentation.
  • Good understanding of statistical methods and their application in data analysis and predictive modelling.

Project Delivery Experience:

You'll likely have experience delivering projects to external users:

  • At least 2 years of experience in working with Microsoft data technologies
  • Professional Services experience OR experience working in an internal team, having strong consulting and communication skills.
  • Strong understanding of Analytics / BI and data warehousing concepts
  • Experience with data modelling, data structures, databases, and ETL/ELT processes.
  • Excellent stakeholder management and communication skills, including prioritising, problem solving and relationship building.
  • Ability to understand and articulate requirements to technical and non-technical audiences.
  • Experience delivering in an agile project delivery environment.

What Experience/Skills Do I Need?

  • Building and maintaining client relationships and upholding an exceptional level of client satisfaction.
  • Proven written and spoken English, with strong written skills.
  • Strategic and operational decision-making skills.
  • Outstanding interpersonal and presentation skills.
  • Ability to guide, direct or influence people.
  • Able to identify opportunities and issues.

Benefits and Perks:

  • Hybrid working available, we have a lovely office in Thames Valley Park just outside Reading and expect our staff to attend at least once per month.
  • Comprehensive benefits package including a healthcare scheme, Pension, Life Assurance and Income Protection.
  • We care about your well-being so have invested resources such as GP and other health services and training help to ensure you can be at your best with us.
  • Very friendly, inclusive culture, with strong team spirit.
  • Company growth and new projects means ongoing career progression options.
  • Up to date technology, so collaboration has never been easier.
  • Cutting edge technology projects – exciting goals ahead!

You must have a UK passport or be able to live and work in the UK without employer sponsorship.

Click Apply or visit our Careers page at www.coeo.com

Visit Coeo on LinkedIn, Facebook and Twitter and read what our colleagues say about working at Coeo on www.glassdoor.co.uk

Diversity and Inclusion:

Coeo is an equal opportunity employer which celebrates Diversity and has a commitment to inclusion. All applicants will be considered for employment with us without attention to age, race, colour, religion, sex or sexual orientation, gender identity, national origin and disability.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.