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- Tasks: Help clients unlock data value and build scalable analytics solutions.
- Company: Join a fast-paced consultancy focused on modern data strategies.
- Benefits: Enjoy remote work, 25 days leave, L&D budget, and health cover.
- Why this job: Make a real impact on business strategies while enhancing your technical skills.
- Qualifications: 2+ years in analytics, SQL proficiency, and experience with cloud data tools required.
- Other info: Ideal for those who thrive in client-facing roles and love knowledge sharing.
The predicted salary is between 44000 - 52000 £ per year.
Analytics Engineer Consultant Salary: £55,000 – £65,000 DOE Location: Remote (UK-based applicants only)We are currently looking for an Analytics Consultant to join our fast-paced and growing client based in the UK. If you\’re passionate about helping businesses unlock the value in their data and enjoy working in an environment where your insights drive tangible results, this role could be a perfect fit.You\’ll work alongside a team of modern data professionals and report directly to a Lead Analytics Consultant. Your day-to-day will include helping clients build out efficient, scalable analytics stacks, delivering insights, and consulting on modern data tools like dbt, BigQuery, and Looker. As an Analytics Consultant , you\’ll be instrumental in enabling data-led decision-making and making a significant impact on business strategy across diverse industries.The Opportunity This isn\’t your average consultancy role. As an Analytics Consultant , you\’ll:Work directly with clients to understand their data goals and guide them in building modern, cloud-based analytics solutions.
Design and implement ELT pipelines using tools like dbt and Fivetran.
Develop dashboards and reporting solutions using Looker or similar BI tools.
Participate in discovery sessions, stakeholder workshops, and training engagements.
Collaborate with a team that thrives on knowledge sharing, innovation, and mutual support.
You\’ll gain exposure to a range of clients from scale-ups to enterprise, helping shape their data strategies and delivering high-value analytics solutions. This role is ideal for someone who wants to deepen their technical skills while maintaining strong client-facing interactions.What\’s in it for you? Salary: £55,000 – £65,000 depending on experience
Flexible, remote-first working – work from anywhere in the UK
25 days annual leave + public holidays
Annual L&D budget – dedicated time and funding for upskilling
Regular team meetups and socials
Pension scheme and private health cover
Skills and Experience Must-Have:2+ years experience in an analytics or data consultancy role
Proficiency in SQL and data modelling (preferably with dbt)
Hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
Familiarity with BI tools (Looker, Power BI, Tableau, etc.)
Excellent communication skills – able to simplify technical concepts for non-technical stakeholders
Nice-to-Have:Experience working in client-facing consultancy projects
Knowledge of modern data stack tools (Fivetran, Airbyte, Stitch)
Python for data transformation or automation
Familiarity with Git and version control best practices
If you would like to be considered for the Analytics Consultant role and feel you\’d be an ideal fit, then please send your CV to us by clicking the Apply button below.
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Analytics Consultant employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Consultant
✨Tip Number 1
Network with professionals in the analytics field, especially those who have experience with tools like dbt and Looker. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Familiarise yourself with the latest trends in data analytics and cloud technologies. Follow relevant blogs, podcasts, or online courses to stay updated on best practices and emerging tools that could be beneficial for your role.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used analytics to drive business decisions. Think about specific projects where your insights made a significant impact, as this will demonstrate your value to potential employers.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data concepts in simple terms. This is crucial for client-facing roles, so consider role-playing scenarios with friends or colleagues to refine your approach.
We think you need these skills to ace Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics and consultancy. Emphasise your proficiency in SQL, data modelling, and any hands-on experience with cloud data warehouses like BigQuery or Snowflake.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and consultancy. Mention specific projects where you've helped clients achieve their data goals and how your skills align with the role's requirements.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your experience with tools like dbt, Looker, and any other BI tools. Provide examples of how you've used these tools to deliver insights or build analytics solutions.
Highlight Communication Skills: Since excellent communication is crucial for this role, include examples of how you've simplified complex technical concepts for non-technical stakeholders in previous roles. This will demonstrate your ability to engage effectively with clients.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data modelling, and cloud data warehouses like BigQuery. Highlight specific projects where you've successfully implemented analytics solutions, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role involves simplifying technical concepts for non-technical stakeholders, practice explaining complex ideas in a straightforward manner. Use examples from your past experiences to illustrate how you’ve effectively communicated insights to clients.
✨Demonstrate Client-Facing Experience
If you have experience working directly with clients, be sure to share relevant stories. Discuss how you’ve understood their needs and guided them in building analytics solutions, as this will show your ability to thrive in a consultancy environment.
✨Familiarise Yourself with Modern Tools
Research the tools mentioned in the job description, such as dbt, Looker, and Fivetran. Being able to discuss these tools confidently during the interview will show your enthusiasm for the role and your readiness to contribute from day one.
