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Careers in Analytics

Analyst IC1

Role Level

At Wise, our career map features two distinct tracks: the Individual Contributor path and the Analyst Lead path. We use a consistent set of defined behaviours and skills across the business. Below, we are transparently sharing the details of our Analytics team levels and corresponding salary bands to help you understand where you might fit, the expectations for an AL1 (Analyst Lead 1), and the clear path for your career progression at Wise.

Salary Ranges & Offer Philosophy

We establish our salary ranges using external market data from salary surveys. This data helps us determine competitive pay within the local job market where we compete for talent, typically focusing on companies similar to Wise or those in related industries.

Salary chart:

London: £45,000 - £60,000

Tallinn: €31,200 - €42,000 EUR (Estonia)

Budapest: 1,020,000-13,320,000 HUF

Singapore: $72,000 - $96,000 SGD

Austin: $95,000 - $115,000 USD (in Austin)

New York: $102,500 - $124,000 USD (in New York)

Ownership

Proactivity

Do I share ideas proactively, find out solutions to problems and seek opportunities to scale impact?

Shows enthusiasm by engaging in team meetings and actively listening/building context. Proactively asks clarifying Q's and assists with small improvements in processes under guidance from senior team members. Completes assigned tasks reliably and begins to seek out additional tasks as comfort with responsibilities grows.

Feedback

Do I promote and implement a feedback culture?

Reflects on their own performance based on outcomes and feedback from others. Shows a growth mindset; gracefully accepts feedback and seeks to understand the cause. Participates in discussions for potential areas for development with their lead/team.

Problem Solving

Strategic Thinking

Do I decide and propose the most relevant & strategic problems to solve based on my commercial squad needs?

Understands and applies basic strategic principles to daily tasks and objectives. Shows curiosity about broader company goals and how individual tasks contribute to team and tribe KPIs. Asks questions and seeks learning opportunities to gain a better understanding of strategic thinking.

Execution

Do I solve the problems effectively, remove blockers and link solutions to outcomes?

Supports the identification and definition of simple problems within tasks. Balances between trying to solve themselves and asking for help when it becomes sub-optimal. Executes quickly on well scoped tasks and smaller projects. Is disciplined in self-organizing focus time and completing the tasks, while not being overwhelmed by unavoidable distractions.

Influence

Communication

Do I adapt my communication based on the goal and stakeholders to effectively influence decision making?

Drafts basic documentation and wikis, ensuring accuracy and clarity with regular supervision. Adjusts written content with guidance to suit different audiences, learning to tailor messages effectively. Basic skill in answering questions and discussing data-related topics in meetings.

Stakeholder Management

Do I partner with stakeholders so my outputs can influence decision making?

Basic understanding of how to build persuasive arguments using data and analytics. Ability to present data-driven recommendations in a way that encourages stakeholder buy-in. Familiarity with techniques for gaining support for ideas and proposals.

Technical Skills

Data Analysis

How do I utilize data analysis techniques and tools to support decision-making within the organization?

Basic proficiency in analyzing datasets using tools like Excel, SQL, and Python/R (or similar languages). Understanding of fundamental data analysis techniques, such as descriptive statistics and trend analysis. Ability to prepare and interpret data visualizations to communicate findings.

Coding

Do I code and make the most out of our stack based on the tasks that I am assigned?

Basic understanding of coding principles and familiarity with at least one programming language (any scripting language e.g. Python or R). Ability to write simple scripts for data extraction, transformation, and analysis. Familiarity with coding best practices, such as commenting and structuring code for readability.

Scalability

Do I create assets that are reusable and maintainable and leverage dbt?

Awareness of the importance of scalability in data processes and solutions. Basic understanding of optimizing queries and scripts for performance. Familiarity with scalable data solutions in Snowflake and interest in getting to work with dbt.

When extending an offer to a successful candidate, we consider a few key factors:

  • Interview Performance
  • Relevant Experience and Skillset for the role
  • Internal Equity: We ensure the offer is fair and consistent with our existing team's compensation to maintain internal parity.

List #1

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