Analytics Consultant

Rittman Analytics; Brighton; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

Join a forward-thinking analytics consultancy that empowers organizations to modernize their data capabilities. As an Analytics Consultant, you will leverage your expertise in Google Cloud and modern data stack technologies to deliver innovative solutions for clients across the UK and beyond. This role offers the chance to work on diverse projects, collaborate with a talented team, and contribute to a culture that values integrity and continuous learning. If you're passionate about analytics and eager to make an impact, this is the perfect opportunity for you.

Benefits

26 Days Annual Leave

Flexible Bank Holidays

Company Bonus Scheme

Life Assurance

Private Medical Insurance

Contributory Pension Scheme

Enhanced Maternity Scheme

Apple Macbook for remote work

Work remotely or from other Spaces offices

Qualifications

• Experience with Google Cloud and modern data stack tools.
• Excellent grasp of SQL and data modelling.
• Desire to work in a consulting role.

Responsibilities

• Deliver analytics and data engineering projects assigned to you.
• Collaborate with clients and stakeholders to meet project goals.
• Mentor junior analytics and data engineers.

Skills

Google Cloud

dbt

Looker

Fivetran

SQL

Data Modelling

Analytical Skills

Problem-Solving

Education

Google Cloud Data Engineer Certification

Looker Developer Certification

Tools

Google BigQuery

Google Cloud SQL

Dataform

Power BI

Superset

Job description

4 days ago Be among the first 25 applicants

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 based on Google Cloud and other partner technology.

• Salary: £65,000 + profit share*
• Location: Brighton or Remote (UK only)
  
  

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 based on Google Cloud and other partner technology.

We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their own questions - we are experts in the modern data stack.

Why Rittman Analytics?

We are a company made up of passionate engineers and consultants.

We are striving to be a Great Place to Work with a culture that encourages you to be your best self.

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
  
  

The Role

As an Analytics Consultant at Rittman Analytics you will be part of a team delivering key client projects for our clients in the UK, Northern Europe and North America.

Your responsibilities will involve delivering the work you are personally assigned in those projects, 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.

Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube.

You’ll already have the Google Cloud Data Engineer certification and the Looker developer certification or be committed to obtaining that certification within your first three months with us.

Most importantly, you should have experience and a desire to work within a consulting environment, thriving on working on multiple concurrent projects and delivering to deadlines and client expectations.

You’ll work with stakeholders at your level of technical experience and seniority, work on cutting-edge projects with a top-tier team and engage with stakeholders of all levels of technical and management seniority on projects you’ll deliver as part of a team.

You’ll be responsible for…

• Project Delivery
• Delivering analytics and data engineering projects and initiatives that are assigned to you, including tasks such as:
• Configuring and implementing cloud and database infrastructure to an architecture design provided to you using tools such as Google Cloud, Google BigQuery and Google Cloud SQL
• Transforming and modeling data into consumable information and business logic using tools such as dbt, Dataform and Cube
• Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI, Superset
• Testing data to ensure it is of high quality
• Using project management techniques such as Agile scrum/kanban
• Monitoring and optimizing development workloads to ensure efficient operations
• Architecting
• Documenting business logic and data definitions
• Designing data flows and data models
• Mentoring:
• Mentoring and guiding junior analytics and data engineers.
• Knowledge:
• Obtaining, if you do not have so already, developer certifications for Looker, dbt, Segment and other modern data stack partner
• Working towards Google Cloud Data Engineer certification
• Staying updated with the latest data engineering technologies and methodologies, and implementing them as appropriate.
• Collaboration: Collaborating closely with our CEO and Head of Delivery to align analytics and data engineering with business goals.
  
  

What We're Looking For

• Must Haves
• Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake
• Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail
• An excellent grasp of SQL, data modelling, cloud data warehousing and database design
• Awareness of software development methods (git, CI/CD, code reuse etc) in an analytics context
• A desire to work in a consulting role and an ability to manage multiple concurrent engagements
• Confidence in your ability to work as part of a project team and to work constructively with stakeholders at an equivalent or lesser technical and data maturity
• Located in the UK, ideally Southern England, London, Home Counties etc
• Nice to Haves
• An awareness and interest in both the commercial and technical aspects of working for a consultancy, bringing a desire and interest in helping us, and our clients, grow their businesses
  

What Success Looks Like as a Analytics Consultant

• Build outstanding rapport and reputation with clients
• Quick to understand and comprehend new concepts, development techniques and technologies
• Known as a competent team member for your area of expertise
• Regularly delivers work to deadlines and milestones
• Active user and emerging contributor to our internal Knowledge Base, Technical Tutorials and internal Analytics.
• Willingness to adopt new technologies and methodologies when necessary
• Supporting Senior Analytics Engineers and Analytics Lead in winning and retaining successful clients
  
  

Benefits

• 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend
• A bonus scheme that pays 3% of the project revenue above your target that is attributed to you over a quarter, conditional on achieving 9 or greater in NPS Survey results for projects you’re involved in
• Flexible Bank Holidays policy, enabling you to exchange a government-set public holiday for a more convenient time off, such as to celebrate a religious festival (post-probation period)
• Company Bonus Scheme
• Life Assurance
• Private Medical Insurance
• Contributory Pension Scheme
• Enhanced maternity scheme
• Apple Macbook + allowance for setting-up your home office, if working remotely
• Brighton office or ability for you to work remotely or from any other worldwide Spaces offices

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  IT Services and IT Consulting

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