Analytics Engineer, Tasman
£50-75k
Netherlands: €4,500-€6,600 per month. Salary range for both locations varies dependent on seniority
Data analytics agency
Open for applications
Data analytics agency
21-100 employees
Open for applications
£50-75k
Netherlands: €4,500-€6,600 per month. Salary range for both locations varies dependent on seniority
21-100 employees
Company mission
To build world-class data capabilities so that clients can focus on growing their business sustainably.
Role
Who you are
- Is passionate about solving both business and technical problems
- Is an excellent communicator that’s able to translate technical solutions into tangible business value
- Is excited about being part of a small, diverse, remote-first team that are passionate about truly flexible working
- Is able to work autonomously and proactively solve problems as they arise
- Is comfortable working under time pressure
- Is adaptable to changing requirements or priorities
What the job involves
- The Analytics Engineering team at Tasman provide the critical link between the data that is extracted & ingested by the Data Engineering team, and the business-facing data assets that the Data Analysts leverage to deliver tangible value to our clients
- As Analytics Engineers at Tasman we work across numerous business domains including marketing and growth, retail sales, app subscriptions, product development, and we are responsible for turning business requirements into technical solutions
- Analytics Engineers are our SQL experts and no data wrangling challenge is too large for us
- When we’re not getting data into shape, we are advising our clients on data architecture best practices, writing tracking plans, implementing data test frameworks, collaborating with Data Engineers and Data Analysts on complex problems, or learning and developing our expertise
- Turning raw data into friendly, business-facing data models is at the core of the role of an Analytics Engineer, and like most data teams, we use a combination of SQL and dbt to get this done
- As an open-source tool that now dominates the industry, we expect our Analytics Engineers to be comfortable with dbt and native SQL speakers (at least 1 dialect)
- Wrangling data into shape should be second nature
- It is also vital that our data models can be trusted - so testing and QA is extremely important to us
- We’re on a test-driven development journey, and our Analytics Engineers are constantly pushing the boundaries of what is possible when it comes to making sure our data is high quality
- All deliverables at Tasman start with a discovery process. At the core of the Tasman approach to delivery is a focus on business value and the description of a solution that targets the specifics of the business - we call this business analysis. Our Engineers are responsible for evaluating the requirements set out in the business analysis and developing a technical solution design - we call this technical analysis
- There are two main objectives of technical analysis: to reduce the risk for both Tasman and our clients, and to break down a deliverable into a set of tasks with accurate estimations of complexity. We rely on our Engineers for effective estimation of deliverables as it ensures that we are able to meet the goals we set with our clients on time and on budget
- Design and document solutions that meet the requirements set out in business analyses
- Proactively identify technical debt and effectively evaluate and communicate any delivery risks or unknowns
- Break down deliverables into tasks, and accurately estimate their complexity
- Collaborate effectively with other team members to ensure delivery is well planned
- Have a strong catalogue of experience you can call on to inform your planning and design
- Contribute to the continuous improvement of the technical analysis process
- Review the technical analyses of other team members to offer suggestions and improvements
- Deliver Impact through positive influence to shape decisions and actions that ensure we remain laser-focused on what the client needs
- Demonstrate Effective Communication to establish our credibility and ensure that we can operate effectively as a distributed team with a global client base
- Proactively Take Ownership of deliverables, effectively prioritising and managing time, to deliver supreme quality work independently
- Demonstrate strong cross-functional leadership skills and be meticulously organised
- Be a well-rounded, T-shaped, data professional, with experience and strengths complimentary to your specific role that you can leverage to maximise your impact
- Stay on top of industry trends to ensure our clients have access to the latest developments
- Mentor other team members, supporting their development of critical technical and soft skills
Application process
- We understand that interviewing for a new role can be time consuming and, occasionally, frustrating. We will be respectful of your time and inform you of our decision as soon as we have made it. We aim to run an inclusive process so if reasonable accommodations are needed to participate in our job application process, please let us know
- Application. You will be asked to submit a resume and answer a few questions, which help us understand how your background and interests fit with what we are looking for at Tasman. Make sure to answer these questions carefully as they can make the difference between a successful application and not
- Short introductory call. We will schedule a brief call to discuss your background and interests and to give you the opportunity to learn more about Tasman
- Technical task. You will be asked to work on a set of problems that reflect the technical and communication skills needed for this role. It gives us a sense of your skills and it hopefully also gives you a taste of what it’s like working for Tasman. We will give you personal feedback on the task, regardless of the outcome
- Technical interview. If the task is successful, we will schedule a 1-hour interview with 2 senior engineers to discuss the technical task. They will also ask more detailed, technical questions about prior work (or other) experience. We may ask you to prepare a short demo of something you’ve worked on in your current role so that we can understand the types of projects you have worked on and assess your communication skills
- Final interview. This is a 1-hour interview with the hiring manager for this role and a senior non-engineering team member. Their questions will focus on culture fit and broader business understanding. You will, of course, get to ask them plenty of questions too to learn more about what it’s like to work for Tasman
- Offer. We will let you know our decision and, if we make you an offer, we will give you the opportunity to talk to others on our team to support you in making your decision
- The hiring manager for this role is Eric Thanenthiran
- We process and interview candidates on an ongoing basis
Our take
Tasman has helped fast growth startups and well known brands such as Asana Rebel, Canon, Ecosia, Kaia Health, OnDeck scale up their data infrastructure and analytics efforts. The company takes a boutique approach, essentially operating as an interim Head of Data Science.
One thing that stands out about Tasman’s approach is that its intention is always to completely hand over to its clients, rather than locking them into long term contracts. This pitch to quickly scale a company’s data operations in a sustainable, manageable way – and with no future obligations – should appeal to plenty of potential customers.
Having been founded in 2017, Tasman has grown its team in a responsible manner while making a profit. Indeed, the company has sought no VC backing in its time, yet still expects to double in size in the near future as it finds its services in greater demand.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
Company
Company benefits
- Budget for home office equipment
- £400 / €500 annual well-being benefit
- £50 / €60 per month sport benefit
- £50 / €60 per month benefit for refreshments
- £1000 / €1200 annual budget for training and professional development
- 3 months of fully paid parental leave
- Pension contribution
- 25 days of holiday in addition to any public holidays
Company HQ
Harringay Ladder, London, UK
Articles
Leadership
Thomas in't Veld
(CEO)Former Genetics Research Associate at The University of Leuven. Previously served as Head of Data Science at Bright North and Peak Labs.
Rob Hick
(Head of Data Strategy)Was VP of Marketing Science & Data Strategy at Beamly after founding and spending six years at data science company Bright North.
Christophe Bogaert
(Head of Engineering)Spent four years at Snowplow as a Data Scientist then Head of Services before co-founding Tasman.
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