VP Data Strategy & Analytics

Stockholm, Sweden

Applications have closed

Trustly

Trustly, as a simple and fast online banking payments solution, enables consumers and merchants to carry out in and out payments using their bank account.

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At Trustly, we’re passionate about simplifying the way people pay and get paid online. We’re a licensed payment institution and our B2B products available across Europe, North America and Australia attract global merchants in segments such as e­-commerce, telecom, travel, financial services and gaming. In June 2018, private equity firm Nordic Capital acquired a majority stake in Trustly with ambitions to support us in becoming the leading global online banking payments provider.
We have our headquarters in Stockholm, Sweden and 9 additional offices across Europe and North America. Together we are leading the development of the payments industry and the work you’ll do here will make a great impact. 
About the role: As the VP Data Strategy & Analytics you will be responsible for understanding the data needs across the organization and for developing and executing a roadmap to maximize data capabilities. You will have a key-role in generating business insights that clearly create customer, organizational and financial value. 
As an engaged leader with a strong business mindset, you will transform data into valuable insights that inform strategy and decision making that support rapid and profitable growth for Trustly Europe. In this role, you will also be responsible for scaling the data function as new products and services are implemented and be a champion for a data driven culture throughout the organization to create positive challenges and an obsession for data driven decision making.

What you’ll do:

  • Transform data and information into insights that inform high-level strategy and tactical decision-making in support of revenue and profitability objectives.
  • Lead, coach and develop a team of skilled Analysts, Data Scientists and Data Engineers and guide in the future direction of data strategy and processes including sourcing and tooling.
  • Proactively communicate and collaborate with internal customers to ensure information needs are formalized and understood and be conversant in the functional requirements for information exchange.
  • Develop and execute a plan to maximize self-service capabilities for both internal and external stakeholders with a clear focus on utilization and value creation.
  • Influence and effect business process change to support an efficient, scalable and best practice execution and operational environment. 
  • Work closely with the executive management team to develop processes and insights that inform and optimize business performance.
  • Work closely with Commercial, Product and Marketing teams to optimize product, customer and sales processes.

To be successful in this role, we believe you have:

  • Have a university degree in statistics, engineering, business or equivalent.
  • Demonstrated experience in utilizing data to create customer, business and shareholder value.
  • Developed, coached and managed a team of analysts (or similar) for more than 5 years.
  • 10+ years of experience in an analytical field (within FinTech or a transactional environment is a plus).
  • Expert communication skills and a demonstrated ability to influence leadership.
  • Strong teamwork skills in order to collaborate and build strong relationships with co-workers and internal clients to develop and implement business solutions.
  • Project management skills to plan, organize, motivate, and develop team members to achieve specified project goals and objectives.
  • A willingness to make business critical decisions whilst soliciting and objectively considering input from appropriate sources and understanding implications of actions on other areas, people, and processes.
  • A focus on agility, incremental delivery and the adaptation of approach to each situation.
  • You have a genuine interest in exceptional customer outcomes, products, financial technology and/or payments.
  • Fluency in English (other languages are a bonus).

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Banking Data strategy Engineering FinTech Statistics

Perks/benefits: Salary bonus

Region: Europe
Country: Sweden
Job stats:  15  3  0
Category: Analyst Jobs

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