Data Analyst (Remote)

18th January 2022


Tasman is defining the future of Data Science As A Service. We are a young, fast-growing company funded fully by analytics & data science work for our ambitious clients.

We’re hiring a Data Analyst to join our team and help us:

  • Leverage our growing data platform to provide fast, accurate insights to key business questions
  • Work with our clients to deliver in-depth analysis that solves business challenges and enables data-informed decisions
  • Design and build dashboards that clients can use to self-serve analysis and track key metrics
  • Be one of the key points of contact with our clients and work closely with analytics engineers and data scientists to ensure what we build delivers business value

We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our company. Tasman has an open, flat and teamwork-centered culture and is committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. We are also prepared to invest in the career development of prospective hires who show strong aptitude and enthusiasm for the role, but whose prior work experience may differ from the role description.


Tasman was founded in 2017 with a mission to help companies improve their decision-making with access to better, more meaningful, and more reliable data. Both our client base and our team are rapidly growing. We work with our clients to consolidate their various data sources onto a common platform designed to meet their specific needs for answers and insights. We provide end-to-end support for strategy, technical implementation, data science & data analysis, and also help our clients hire and onboard an internal data team.

We’ve worked hand-in-hand with over 30 fast-growing companies in a range of industries. Some examples of the work we did: we’ve helped Lifecake to build a product for sharing childhood memories with family; Kaia Health to combine physical, psychological and educational expertise to tackle chronic diseases; and Asana Rebel in supporting those who want to get fit and start a healthy lifestyle. Other clients include Bleach London, The Business of Fashion, Flash Pack, Gousto, RIXO, ResQ Club, Readdle, Pollen, Ecosia, Curio, Eve Sleep, and On Deck.


The Data Analytics team at Tasman works closely with clients to translate business questions into tangible data requirements. Through a deep understanding of the business domain, including marketing and growth, retail sales, app subscriptions, product development, the team really gets to the heart of client needs. Using a blend of personal, team, and client experience, you’ll be able to ensure each business challenge and opportunity is carefully interrogated and from that, the best solution identified. You’ll work closely with the Engineering team to architect and then support delivery of the solution.

The output of our Data Analysts can vary enormously. Some days you’ll be working on a quick piece of analysis to support a critical business decision, and other days you’ll be working with Analytics Engineers to understand what datasets are needed for the next phase of your analysis. You may be undertaking new exploratory analysis, or running a workshop to investigate a new business problem. In every activity, you’ll ensure the business value is front and centre, carefully working to get fast answers in a stable way.  You’ll work carefully to build trust with clients so that they  believe in the data we’re providing and presenting.

Domain expertise

A crucial but often missed key to successful analysis is domain expertise. To truly deliver business value, the analysis needs to be understood as more than just numerical insight. Each measure and dimension must be understood in the context of the business activity and how it influences business value—whether that’s setting up new marketing campaigns, designing new product features, or supporting retail processes. At Tasman we understand how essential this is, and find it a critical part of this role.

By working with many different clients at Tasman, the shared experience of analysis allows us to rapidly build up this domain expertise.  Already we have worked with clients and data covering Retail, Apps, Travel, Food, Publishing, and Healthcare. Additionally, we work with teams across business functions covering sales, operations, marketing, merchandising, engineering, and product. The opportunities for shared learning and experimenting with  new ways of realising business value are limitless.

Each client situation is unique, and will bring  aspects of a typical challenge while incorporating new parts that might change the solution. Being able to work with clients to identify those unique needs is therefore essential to the work of the Data Analyst. We do this through carefully planned one-to-one interviews and stakeholder workshops. Translating the output of those and combining it with desk research and business analysis to ensure the requirements feeding into the solution design are comprehensive and well understood. 

Rapid insight and Deep analysis

Sometimes the best and most valuable answer to a business question is the one that is delivered fastest. Our Data Analysts are adept at quickly navigating the available data to find the best rapid answer to the key parts of the business question. Analytical thinking and an agile approach to problem solving are both key skills to delivering rapid insight.

For bigger or longer-term questions, exploratory data analysis is a key part of how we approach client problems and realise business value. We use a scientific approach to uncover key insights and relationships between key elements of the business. That may be how particular customers react to product features, or where the latest designs have been making waves, or how new audiences are reacting to our marketing messages. Using a combination of simple analytical approaches, sophisticated visualisations, and statistical modelling we unpick the true signals in the data and discard the spurious noise.

Much of the insight work is client-specific and focuses on the unique elements of their business. Working closely together, our Data Analysts and Analytics Engineers combine those unique elements with our standardised approach to data.  We use a common approach to data models that we deploy across all clients. That means analysis is built on the same data platform and can be reused and tailored to produce rapid results. The cumulative effect of these standardisation efforts is that we shorten the time-to-value with each new client we work with.

Self-serve Analytics and Dashboards

Scalability is at the heart of everything we do at Tasman—we are constantly looking for ways to amplify the impact of data on our clients. Our Data Analysts work a lot with Metabase, Looker, and other dashboarding tools to ensure that business users can answer their own business questions at the speed of thought. We don’t like bottlenecks or backlogs of jobs; we do like carefully designed reports, insights and dashboards that provide a guided path to answers.

Self-serve analytics can get complicated very quickly, so we have tried-and-tested approaches to developing multi-layered reporting systems that are tailored to each client. Our Data Analysts carefully design the information architecture and data visualisations to create dashboards that are easy to understand and embedded within business processes. Developing simple navigation pathways between visualisation tools and datasets unlocks the full power of self-serve analytics, enabling our clients to make more data-informed decisions. .

Business Analysis

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. Our Data Analysts are tasked with connecting with clients and really understanding the value-chain and challenges within their business so that we can shape the solution to fit the needs. Communicating those requirements through to both the Tasman team and the client is a critical part of a successful delivery.

The output of the business analysis work can vary depending on the complexity of the solution. Sometimes it will be a simple summary and close collaboration with the data platform team to deliver a quick result. Other times, a full product brief is required to align many stakeholders from the client and the Tasman team on the shape of the solution. A great Data Analyst is able to organically identify the right type of output for the business situation.

For many of our clients, the core needs are similar and so we look to leverage existing work to efficiently speed up delivery. As part of the business analysis process, being able to identify prior art is essential in our ambition to accelerate the time to deliver business value. 

You will...

  • Help our clients to solve real business challenges that have a measurable impact on their success.
  • Develop comprehensive, articulate business analysis documents that ensure successful delivery.
  • Run rapid analysis leveraging a growing and scalable platform for data science and analytics
  • Build sophisticated, user-friendly data dashboards that allow self-serve analytics
  • Contribute to client data strategy across different business domains
  • Work in close collaboration with the other teams at Tasman to design and develop a consistent data layer
  • Expand and improve the suite of tools that form the foundation of all the client work we do.
  • Get to work with an experienced team. Coaching and mentoring is an important part of the road to success for us.
  • Have the opportunity to become an expert on data analysis. You will develop strong opinions, whilst retaining a certain level of pragmatism, and you will have the opportunity to share those opinions by writing blog posts and presenting at conferences.
  • Work closely with internal data teams at our clients to ensure a smooth handover as we near the end of a project.


  • You have a strong analytical mindset and experience with using data to solve problems and find answers to complex questions.
  • You have practical experience in one or more business domains, such as marketing, product, retail, CPG, apps, or ecommerce and understand how business value is realised in those domains.
  • You have a strong understanding of consumer-facing businesses and customer behaviour.
  • You have good technical knowledge in the data domain, in particular being able to use SQL or simple Python/R applications.
  • You feel comfortable discovering what data is available for your analysis in cloud-native data warehouses (we use BigQuery, Redshift, and Snowflake)
  • You have at least 2 years of relevant experience. You won’t know how all the systems work on day one so we don’t expect you to hit the ground running, but a good understanding of the fundamentals and experience working in a similar role will help you get up to speed quickly.
  • You are self-motivated and prefer to learn by doing, failing, and trying again.  You have a can-do attitude to learning new skills and new tools. Not only do we have to keep abreast of the state-of-the-art, we also have to adapt to clients’ toolsets.
  • You are a good communicator who is able to work directly with data analysts, data scientists, engineers, product managers, marketers, and executive teams. Being able to communicate with clarity and precision is of critical importance to this role.
  • You are a clear thinker who is comfortable explaining their thinking, discussing different approaches to a problem, and working collaboratively and creatively to identify new solutions.
  • You care about the details and have a mature attitude to documentation, security, and process—all of which are important and inform everything we do.
  • You might have a STEM degree. You might not. That’s not necessarily what we’re looking for. We care about what you can do and how you do it, not about how you got here. A strong track record of conscientious, thoughtful work speaks volumes.
  • You enjoy working across multiple problems with multiple clients at any given moment. To do this effectively, you understand the importance of planning and estimating and know how to balance competing priorities.
  • This is a location-agnostic job. You’re free to work where you work best: home office, co-working space, coffeeshops, quarantined cruise ships.


  • A competitive package between £35k and £65k with share options
  • 25 days holidays (on top of public holidays)
  • A latest generation MacBook Pro
  • A flexible work environment offering good work-life balance
  • A budget for home office
  • A budget for professional development & training
  • Generous fitness, wellness, and refreshments allowances.


Please send an application that speaks directly to this position. Address some of the work we do and tell us about your role in Tasman’s future and Tasman’s role in yours. There’s no benefit to writing a novel. Keep it short and get across what matters to you. Clear communication is crucial in the work we do, and you should think of this as our first impression of you.

We will process applications on an ongoing basis which means there is no deadline. However, we will make an offer as soon as we find the right person for the role so don’t wait too long before applying! At this stage, regrettably, we are also not able to offer internships or visa sponsorships.

Expect us to take one or two weeks to review the application. We’ll let you know whether you’ve advanced to the next stage of the application process, which will be a phone screen. If that goes well, we’ll proceed to the in-depth interviews. Our interviews are one hour, all remote, each with one of the co-founders of Tasman.

We look forward to hearing from you!