At a Glance
- Tasks: Design and deliver data solutions that drive insights and improve decision-making.
- Company: Join a forward-thinking consultancy with a focus on innovation and collaboration.
- Benefits: Enjoy competitive salary, 33 days leave, and support for professional development.
- Other info: Dynamic work environment with clear career progression and employee ownership opportunities.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: 5+ years in data analytics or engineering, with strong skills in Microsoft technologies.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are seeking a Senior Data & Analytics Consultant to join our growing team and play a key role in helping our customers turn data into meaningful insight and measurable impact. In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives, and support better operational and strategic decision-making.
About the Role
The Senior Data & Analytics Consultant designs and delivers data and analytics solutions that help customers improve operational performance and decision-making. Working closely with the AI Practice Lead, Business Consultants, Functional Consultants and delivery teams, this role ensures strong foundations in data management, governance, analytics, and integration, enabling both AI-driven initiatives and standalone data solutions. The role combines handsâon expertise, solution leadership, and customer engagement to ensure our customers can effectively leverage their data to improve decision-making, operational performance, and service delivery.
Main Duties and Responsibilities
- Data Strategy & Advisory
- Contribute to the development of customer data strategies aligned to business objectives
- Ensure data foundations are structured, governed, and scalable so they can support analytics, reporting, and AI-driven initiatives
- Provide expert guidance on modern data platforms, governance, and architecture
- Data Governance & Quality
- Define and implement data governance practices to ensure accuracy, integrity, security, and compliance
- Support customers in establishing policies, standards, and data management frameworks
- Data Analytics & Insights
- Analyse complex datasets and translate findings into clear operational and strategic insights for customers
- Translate data into actionable insights that support operational improvement and decision-making
- Data Management & Warehousing
- Design and implement scalable data platforms including data warehouses, lakes, and relational databases
- Ensure efficient data storage, accessibility, and performance
- ETL & Data Integration
- Design and oversee ETL pipelines integrating data from multiple business systems and external sources
- Ensure reliable and scalable data ingestion across cloud and onâpremise environments
- Data Architecture & Engineering
- Collaborate with project teams to design secure, scalable, and highâperformance data solutions
- Support implementation of modern cloud data architectures
- Automation & Workflow Optimisation
- Leverage Microsoft Power Platform and related tools to streamline data processes and improve efficiency
- Advanced Data Solutions
- Design and deliver data solutions within the Microsoft ecosystem, including Azure Data Services, Microsoft Dataverse, Power BI, and Dynamics 365 integrations
- Enable predictive analytics and advanced modelling where appropriate
- Support AI initiatives by ensuring highâquality, wellâstructured data foundations
- Deliver data solutions that provide value independent of AI use cases
- Develop dashboards and reporting solutions using Power BI and other analytics platforms
- Provide realâtime visibility into key performance indicators and operational metrics
- Stakeholder Collaboration
- Work closely with customers to ensure solutions align with operational needs
- Communicate complex technical concepts in a clear, businessâfocused manner
- Delivery Leadership & Capability Development
- Support preâsales engagements including discovery workshops, solution design, and proposal input
- Contribute to shaping commercially viable data solutions aligned to customer outcomes
- Mentor consultants and analysts to build organisational data capability
- Promote a dataâdriven culture within projects and the wider business
Knowledge and Experience
- 5+ years' strong experience in data analytics, engineering, or business intelligence within a consultancy or technology services environment
- Proven expertise in data modelling, warehousing, and relational database design
- Experience designing and delivering cloudâbased data solutions, particularly within Microsoft Azure
- Knowledge of ETL processes and data integration across multiple systems
- Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data Services, Power BI) with thirdâparty platforms
- Understanding of data governance, security, and compliance principles
- Handsâon experience with SQL and one or more data programming languages
- Strong understanding of Microsoft Dataverse data structures and integration patterns
- Experience delivering complex data projects in customer environments
- Experience working with and understanding public sector data, security and governance
Personal Characteristics
- Pragmatic problemâsolver with a strong dataâdriven mindset
- Collaborative and customerâfocused
- Innovative, with interest in emerging data and AI technologies
- Strong communicator able to bridge technical and business perspectives
- Adaptable in a fastâmoving consultancy environment
Personal Abilities
- Ability to translate business requirements into practical data solutions
- Strong stakeholder engagement skills across technical and nonâtechnical audiences
- Ability to manage multiple priorities across concurrent projects
- Commercial awareness and focus on delivering measurable value
Technical Abilities
- Proficiency in Microsoft Power BI, SQL, and Azure Data Services
- Experience with data integration tools, APIs, and middleware
- Knowledge of ETL tools such as Azure Data Factory, SSIS, or similar
- Experience with data warehouses, data lakes, and modern data platforms
- Familiarity with advanced analytics or machine learning concepts
- Experience with Microsoft Power Platform for process automation
- Understanding of statistical analysis, reporting, and visualisation techniques
What We Offer
- Industry aligned competitive salary
- 33 days annual leave, including bank holidays
- Access to learning resources to support study to achieve Microsoft certifications
- Bonus paid on passing agreed exams to gain specific Microsoft certifications
- Autoâenrolment pension scheme with options to increase your contributions
- Employee wellbeing strategy
- Free flu jabs
- Company events
- Free onâsite parking.
About Us
We believe in our culture, values and staff successes. We invest in developing our staff and we support our employees with their professional development goals. We strive to offer an environment that provides our staff with the right work/life balance. We offer genuine career prospects: you will have a clear career progression path with the opportunity to become stakeholders within the business as it transitions to an employeeâowned company.
This role is UKâbased but we particularly welcome applications from candidates within commuting distance of our Northampton HQ, as onâsite collaboration and client engagement form part of the role. Candidates must have full entitlement to work and reside in the UK.
Strictly Personal Applicants Only. Please apply below to upload your CV and cover letter, describing why you feel you are right for this position, together with details of your current and minimum salary expectations, current benefits and notice period. Applications will be reviewed on a rolling basis; we encourage you to apply as soon as possible.
Please note we cannot sponsor applicants for a visa. Please only apply if you have the right to work in the UK and are resident in the UK. Ashton Court is committed to supporting individuals with the desire and capacity for longâterm career growth and development to achieve their full potential. Because the limitations of a timeâbound visa do not align with our longâterm career development plans, we regret we cannot accept applications from candidates whose right to work in the UK relies on a temporary, timeâlimited or dependency visa.
Interview Process
Ashton Court Group is an equal opportunities employer. Interviews are conducted in a twoâstage process. Successful applicants will be invited to an initial 30 minute Teams meeting with a senior member of staff in the same discipline as the role for which you have applied. If successful, we will be inviting candidates to a second interview of up to one hour, including an assessment of your skills and experience and may include a technical test. Final interview and offer of employment is held in person at our offices. Full details will be provided at a later date for those who are selected.
Recruitment Agencies
Strictly no agency contact in response to this vacancy. We have a strict company policy to recruit directly. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Manager.
Senior Data & Analytics Consultant in Ashton in Makerfield employer: Ashton Court Group Ltd
Contact Detail:
Ashton Court Group Ltd Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data & Analytics Consultant in Ashton in Makerfield
â¨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry events. We all know that sometimes itâs not just what you know, but who you know that can help you land that Senior Data & Analytics Consultant role.
â¨Tip Number 2
Prepare for those interviews! Research the company and its data strategies. We want you to be able to discuss how your skills align with their needs, especially in areas like data governance and analytics solutions.
â¨Tip Number 3
Showcase your projects! Bring examples of your past work to the table. Whether itâs a data model you designed or an analytics solution you implemented, we want to see how youâve made an impact in previous roles.
â¨Tip Number 4
Donât forget to follow up! After your interview, drop a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds. Plus, we love candidates who take initiative!
We think you need these skills to ace Senior Data & Analytics Consultant in Ashton in Makerfield
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Data & Analytics Consultant role. Highlight your relevant experience in data analytics, engineering, and any specific projects that showcase your skills in Microsoft technologies.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for data and how your previous experiences align with our mission to turn data into meaningful insights.
Showcase Your Technical Skills: Donât forget to mention your proficiency in tools like Power BI, SQL, and Azure Data Services. We want to see how youâve used these technologies to deliver impactful data solutions in your past roles.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and youâll be one step closer to joining our awesome team!
How to prepare for a job interview at Ashton Court Group Ltd
â¨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analytics and engineering. Be ready to discuss specific examples where you designed and delivered data solutions, especially within the Microsoft ecosystem. This will show your hands-on expertise and ability to translate complex datasets into actionable insights.
â¨Brush Up on Technical Skills
Make sure you're comfortable with SQL, Azure Data Services, and Power BI. You might be asked to demonstrate your technical skills or solve a problem on the spot, so practice common scenarios related to ETL processes and data integration. Familiarity with these tools will give you an edge in the interview.
â¨Understand the Companyâs Needs
Research the companyâs current data strategies and AI initiatives. Tailor your responses to show how your experience aligns with their goals. Being able to articulate how you can contribute to their operational performance and decision-making will make you stand out as a candidate.
â¨Communicate Clearly and Confidently
During the interview, focus on bridging the gap between technical jargon and business language. Practice explaining complex concepts in simple terms, as this role requires strong stakeholder engagement skills. Clear communication will demonstrate your ability to collaborate effectively with both technical and non-technical audiences.