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For Companies At a Glance
- Tasks: Lead analytics projects, build client relationships, and deliver innovative data solutions.
- Company: Join Rittman Analytics, a leading consultancy in Brighton with a focus on modern data stacks.
- Benefits: Enjoy 26 days leave, flexible holidays, bonuses, and a MacBook for remote work.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make an impact in the analytics field while working with cutting-edge technologies.
- Qualifications: Experience with Google Cloud, SQL, and data engineering tools required.
The predicted salary is between 60000 - 80000 £ per year.
Join to apply for the Senior Analytics Consultant role at Rittman Analytics.
About Us
Rittman Analytics is an analytics consultancy based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack using Google Cloud, dbt Labs, Looker, Cube, Dagster and other partner technology.
Compensation & Location
- Salary: £70k - £90k + bonus
- Location: Brighton or Remote (UK only)
Our Values
- Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading.
- Delivering on our Promise: A steadfast commitment to delivering on the promise we make to clients, ensuring that solutions are delivered impeccably and add significant value.
- Integrity & Transparency: A pledge to foster transparent communication with our team and our clients, ensuring clients can rely on both the data and the commitment of the firm.
Role Overview
As Senior Analytics Consultant at Rittman Analytics you will lead the delivery of key client projects for our clients in the UK, Northern Europe and North America. Your responsibilities will involve building trusted relationships with our clients, finding creative ways to solve problems, scoping projects and delivering those projects either on your own or as the lead in a small team.
Delivering and leading analytics and data engineering projects and initiatives including tasks such as:
- Configuring and implementing cloud and database infrastructure using Google Cloud, Google BigQuery, Snowflake and other partner tools.
- Transforming and modeling data into consumable information and business logic using dbt, Dataform and Cube.
- Developing dashboards, explorations and data visualisations using Looker, Preset, Power BI, Superset.
- Developing test plans and testing data to ensure it is of high quality.
- Leading projects using Agile scrum/kanban.
- Developing and implementing monitoring and optimisation strategies for development workloads.
Architecting:
- Leading discovery and documentation of business logic and data definitions.
- Working with prospects, customers and senior management to create solution architectures.
- Designing data and platform architectures on Google Cloud Platform technologies.
- Designing data flows, data models and data orchestrations.
Mentoring:
- Mentoring and guiding analytics and data engineers.
Knowledge:
- Obtain the Google Cloud Data Engineer certification.
- Maintain dbt and Looker developer certifications and other relevant partner certifications.
- Stay updated with the latest data engineering technologies and methodologies.
Collaboration:
Collaborating closely with our CEO and Head of Delivery to align analytics and data engineering with business goals.
What We're Looking For
- Real-world design, delivery and architectural experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake.
- Outstanding analytical, problem‑solving and technical skills, a head for numbers and an attention to detail.
- Excellent grasp of SQL, data modelling, cloud data warehousing and database design.
- Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context.
- Experience in a consulting role and ability to manage multiple concurrent engagements.
- Confidence in managing relationships with partners, clients and stakeholders at all levels.
- Entrepreneurial mindset motivated by both commercial and technical aspects of consultancy.
- Based in the UK, USA or Canada with the right to live and work in that country.
How the Application Process Works
- Submit an application via TeamTailor.
- Initial call with a founder if interested.
- Technical test simulating real‑world work (5‑8 hours). Compensation provided.
- Follow‑up call with consulting delivery team.
Success Looks Like
- Build outstanding rapport and reputation with clients.
- Supervise activities of others, focus on higher level concepts.
- Known as a teammate of record and mentor.
- Scope and stage work into well‑defined milestones.
- Contribute to internal Knowledge Base, Technical Tutorials and Analytics.
- Lead adoption of new technologies and methodologies when necessary.
- Support Head of Delivery and CEO in winning and retaining clients.
Benefits
- 26 days annual leave + birthday or next working day if on weekend.
- Bonus scheme paying 3% of the project revenue above target, conditional on achieving >=9 in NPS Survey.
- Flexible bank holidays to trade public holidays for convenient time off.
- Company Bonus Scheme.
- Life assurance.
- Private medical insurance.
- Contributory pension scheme.
- Enhanced maternity scheme.
- Apple MacBook + allowance for home office if working remotely.
- Brighton office or ability to work remotely or in any other worldwide Space office.
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Research, Analyst, and Information Technology
Senior Analytics Consultant in Brighton employer: Rittman Analytics
Contact Detail:
Rittman Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Consultant in Brighton
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics community, especially those who work at Rittman Analytics or similar companies. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Prepare for that technical test! Brush up on your Google Cloud skills and get familiar with dbt and Looker. Practising real-world scenarios will help you shine during the assessment and show off your problem-solving chops.
✨Tip Number 3
Showcase your projects! Whether it’s a personal project or something from your previous job, have examples ready that demonstrate your expertise in data modelling and analytics. This will help you stand out during interviews.
✨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, it shows you’re genuinely interested in joining the team at Rittman Analytics.
We think you need these skills to ace Senior Analytics Consultant in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Consultant role. Highlight your experience with Google Cloud, dbt, and Looker, as well as any relevant projects you've led. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and how you can contribute to our team. Be sure to mention specific experiences that demonstrate your problem-solving skills and technical expertise.
Showcase Your Projects: If you've worked on any cool analytics projects, don't be shy about sharing them! Include links or descriptions in your application to give us a taste of your work. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Rittman Analytics
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Google Cloud, dbt, and Looker. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex analytics challenges. Think about specific instances where you found creative solutions or improved processes, as this will demonstrate your analytical mindset and problem-solving abilities.
✨Build Rapport with Interviewers
Since relationship management is key in this role, practice building rapport during your interview. Be personable, ask insightful questions, and show genuine interest in their work and values. This will help you stand out as a candidate who fits their culture.
✨Prepare for Technical Tests
Expect a technical test that simulates real-world scenarios. Review relevant concepts and practice coding or data manipulation tasks beforehand. Being prepared will not only boost your confidence but also showcase your readiness for the role.