Data Analyst, Tasman
£50-65k
The salary if based in NL is €55,000 - €72,000
SQL
Python
Looker
Excel
Mid and Senior level
Amsterdam
London
Data analytics agency
Be an early applicant
Data analytics agency
21-100 employees
B2BData storageBig dataAnalyticsBusiness IntelligenceData IntegrationData AnalysisData Sharing
Be an early applicant
£50-65k
The salary if based in NL is €55,000 - €72,000
SQL
Python
Looker
Excel
Mid and Senior level
Amsterdam
London
21-100 employees
B2BData storageBig dataAnalyticsBusiness IntelligenceData IntegrationData AnalysisData Sharing
Company mission
To build world-class data capabilities so that clients can focus on growing their business sustainably.
Role
Who you are
- Proven experience working in a data-driven role, where data is regularly used to inform critical decisions
- Excellent communication and interpersonal skills, with the ability to work effectively with all levels and functions within a business
- A strong ability to explain complex data concepts in a clear and concise manner for both technical and non-technical audiences
- A deep understanding of the value of data and its potential to transform business practices
- Experience working with data from multiple industries and understanding the impact of data analysis on various business teams
- Strong analytical and problem-solving skills
- Proficiency in SQL and data manipulation tools (e.g., Excel, Python)
- Experience with data visualisation tools and version control tools (e.g github, gitlab)
- A keen interest in data storytelling and effectively communicating insights
- A collaborative and team-oriented work ethic
- Note that we are an English-speaking company so we look for the ability to communicate with clarity and precision in English—both verbally and in writing
What the job involves
- Work closely with clients to understand their specific needs and challenges
- Transform complex business requirements into clear data-driven solutions
- Design and develop user friendly data products to empower clients with self-serve analytics
- Utilise fundamental and advanced analytical techniques to uncover valuable insights and inform strategic decision-making
- Collaborate with the Tasman team to build and maintain a robust data platform that supports business growth for our clients
- Data Analysts at Tasman are responsible for understanding business questions and scoping data solutions that provide answers. The solutions take many different forms, from dashboards through to deep-dive analysis
- They work closely with clients to identify the right questions and then translate them into tangible requirements, incorporating their own knowledge of relevant business domains, including marketing and growth, retail sales, app subscriptions, product analytics and B2B Sales
- For data products, the Data Analysts collaborate closely with Analytics Engineers and Data Engineers to design and build the required components. They create Product Briefs that describe requirements in detail to provide a central point of design and discussion. They also take responsibility for the design and build of informative dashboards
- For analysis, Data Analysts will work more autonomously to deep dive into the data and generate robust insights. They collaborate with Analytics Engineers to build analysis-ready datasets and with other Data Analysts to bounce ideas and review insights. Throughout the analysis process, they work closely with client stakeholders to iterate quickly through findings and hone in on the high value outcomes
- At the core of Tasman's delivery approach is a focus on business value and solutions that target specific business needs. Our Data Analysts work closely with clients to understand their business model and challenges, allowing us to shape solutions that precisely fit their requirements. Clear communication of these requirements to both the Tasman team and the client is crucial for successful delivery
- The scope of business analysis work varies with solution complexity. For simpler cases, we deliver quick results through brief summaries and close collaboration with our data platform team. More complex situations require comprehensive product briefs to align all stakeholders—both client and Tasman team members—on the solution's direction. An exceptional Data Analyst instinctively knows which approach best suits each business situation
- Work directly with clients to refine scope of stories, using probing questions and discovery techniques to uncover underlying business needs and clarify true pain points, especially when initial requests are vague or ambiguous, ensuring deliverables (dashboards, analyses, or other data products) provide tangible business value to stakeholders
- Transform abstract business problems into concrete, measurable data requirements by breaking down complex request into actionable components, then create comprehensive documentation that serves as a single source of truth for both technical teams and business stakeholders
- Describe the scope and requirements in detailed written form, working closely with analytics engineers to elaborate on product briefs and ensure complex requirements are fully described to avoid potential pitfalls
- Prioritise requirements based on business value, effort, and strategic alignment to maximise impact within resource constraints, recognising inter-dependencies between data related decisions and broader business goals with an understanding of long term implications
- Build trusted advisor relationships with stakeholders by demonstrating deep understanding of their business context and proactively suggesting data solutions to emerging challenges, and showing how data decisions connect to their strategic roadmaps
- 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
- 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, as well as deep analysis. The cumulative effect of these standardisation efforts is that we shorten the time-to-value with each new client we work with
- 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. 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
- Have a comprehensive understanding of the data that is currently available in the data warehouse in various states of analytics-readiness
- Be able to use the available data in creative ways to answer business questions quickly but robustly
- Leverage understanding of the client business and similar industries to zoom in on most useful insight quickly
- Use a structured analysis process to investigate a business problem and provide clear data-driven evidence for recommended solutions
- Prepare reports to communicate results of analysis back to stakeholders in a format that is appropriate to the audience and the analysis. This will often require presenting the results back to stakeholders
- Be able to use inferential statistical tests to validate hypothesis, understanding when to use tests and how results are communicated to stakeholders
- 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 Omni, Holistics, 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
- By combining technical expertise with a strong understanding of storytelling, our Data Analysts create data visualisations that not only inform but also inspire. We believe that data, when presented effectively, can transform businesses
- Design dashboards that communicate targeted information to stakeholders in a digestible format. The designs are specific to the use-case and take account of the information hierarchy and the stakeholders involved
- Build dashboards in a variety of BI platforms such as Looker and Omni, owning the semantic layer to develop explore designs that facilitate self serve analysis
- Deliver engaging presentations that effectively communicate key insights to diverse stakeholder groups, using data storytelling techniques to craft compelling narratives that resonate with the audience and drive understanding
- Works with Analytics Engineers to QA data models and dashboards to ensure data is accurate and reliable
- We embrace AI as a force multiplier that enhances our capabilities and accelerates value delivery to clients. We expect our team to be at the forefront of AI adoption, using these tools to augment human expertise rather than replace critical thinking. Our Data Analysts leverage AI to handle routine tasks, generate initial insights, and explore data patterns at scale, freeing them to focus on strategic analysis, client relationships, and creative problem-solving
- Use AI tools to accelerate code development, debugging and documentation for your work
- Automate repetitive tasks such as report generation, data quality checks, and dashboard updates using AI-assisted workflows
- Generate initial drafts of product briefs, analysis reports, and stakeholder communications using AI, then refine with domain expertise and client knowledge
- Maintain awareness of AI limitations, biases, and hallucinations, especially when working with client-sensitive or business-critical analyses
- Document when and how AI tools were used in analysis to maintain transparency with clients and team members
- Tasman is a fast-paced, growing, remote-first company and over the years we’ve been able to narrow down exactly what it is that makes our team so effective - we call these the Tasman behaviours. Exemplifying these behaviours on a daily basis is critical to individual, team and company success and ensures our clients have full trust in our expertise and dedication to client value
- 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
Application process
- 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 with the hiring manager for this role to discuss your background and interests and to give you the opportunity to learn more about Tasman
- Skills interview. This step in the application process is a one-hour interview with two analysts. We will ask you to prepare a short presentation in advance. Their questions will focus on you skills and experience. You will, of course, get to ask them plenty of questions too to learn more about what it’s like to work for Tasman
- Final interview. This is the final step in the application process and consists of a homework task and then a one-hour interview with the hiring manager and a senior analyst on the team. We will discuss the task (and give you feedback) but also cover a wider set of questions around your business experience and your outlook for the role
- Decision. 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
- We process and interview candidates on an ongoing basis. If you have any questions about the role or the process, feel free to contact us
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
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
Finsbury Park, London, UK
Leadership
Thomas in't Veld
(CEO & Co-Founder)Former Genetics Research Associate at The University of Leuven. Previously served as Head of Data Science at Bright North and Peak Labs.
Rob Hick
(Chief Data Officer & Co-Founder)Was VP of Marketing Science & Data Strategy at Beamly after founding and spending six years at data science company Bright North.
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