Job Description
- Salary:£60k - £80k+ bonus
- Location:Brighton or Remote (UK only)
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?All candidates should make sure to read the following job description and information carefully before applying.
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
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.
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. Ideally you’ll already have a relevant Google Cloud Certification (Data Engineer is preferred) 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 managing multiple concurrent projects and delivering to deadlines and client expectations.
You’ll work with stakeholders at all levels 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 lead or deliver as part of a team.
You’ll be responsible for…- Delivering and sometimes leading, if part of a project team, analytics and data engineering projects and initiatives including tasks such as:
- Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL and other partner tools we may use from time-to-time
- Transforming and modeling data into consumable information and business logic using tools such as dbt, Dataform and Cube and other partner tools we may use from time-to-time
- Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI, Superset and other partner tools we may use from time-to-time
- Developing test plans and testing data to ensure it is of high quality
- Leading projects managed techniques such as Agile scrum/kanban
- Developing and implementing monitoring and optimizing strategies for development workloads in orderto ensure efficient operations
- Architecting
- Leading the discovery of, and documenting, business logic and data definitions
- Working with prospects, customers and RA sales / senior management teams to create solution architectures for current and prospective clients
- Designing data flows, data models and data orchestrations
- Mentoring:
- Mentoring and guiding analytics and data engineers.
- Knowledge:
- Obtaining, if you don’t have so already, Google Cloud Data Engineer certification
- Maintaining your dbt and Looker developer certifications, and other partner certifications that are relevant from time-to-time
- 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.
- Real-world 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
- An 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 a strong ability to manage multiple concurrent engagements
- Confidence in your ability to manage relationships (partners, clients, prospects, etc.) and to work constructively with stakeholders at all levels of technical and data maturity
- An entrepreneurial mindset that is motivated by 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
- Build outstanding rapport and reputation with clients
- Supervise the activities of others and focus on higher level concepts
- Sought out as mentor and known as the “teammate of record” for your area of expertise
- Regularly scope and stage work into well-defined milestones
- Active contribution to our internal Knowledge Base, Technical Tutorials and internal Analytics.
- Lead adoption of new technologies and methodologies when necessary
- Supporting our Head of Delivery and CEO in winning and retaining successful clients
- 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend
- 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 office
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Remote working/work at home options are available for this role.