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Data Analyst

  • Hybrid
  • 0-3 years

Salary

Not stated

Similar roles pay £70K - 95K a year · our estimate

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Description

The Squad:

Our Platform Tribe is building the foundations for the company’s rapid pace of innovation and customer trust. By providing an internal platform as a product, we create a best-in-class developer experience, enabling our engineers to release new features fast and confidently, without compromising reliability and security.

The Security Squad is part of the Platform Tribe and offers a comprehensive suite of products that make sure we manage our security risks through governance, we detect and protect the company from unauthorised access, and we respond to and recover fast from security incidents. Vulnerability Management, Threat Management, Change Management, Access Management and Compliance are core products and strategic themes of the Squad.

Responsibilities

  • We are seeking an experienced Data Analyst to join our Platform Tribe and Security Squad. This role is pivotal in shaping how we manage security and risk through data. You will play a key role using insights to drive strategic opportunities within the company's security frameworks whilst building robust data pipelines to support these.
  • Your initial focus will be on Security Operations and Platforms, from streamlining incident response times to measuring Data Loss Prevention controls and their effectiveness. As you deepen your expertise across the company's security domain, you will help define "what good looks like" and establish robust metrics to track, evaluate, and maximise the real-world impact of these initiatives.

Requirements

  • Soft Skills
  • Analytical Mindset: Strong ability to interpret data, identify trends, and drive data-based decision-making.
  • Strategic Thinking: Excellent ability to build trust and influence across various teams, conveying complex concepts clearly to influence diverse stakeholders.
  • Problem-Solver: Proactively identifies and implements solutions to improve data processes and analytics.
  • Technical Skills
  • 2+ years of experience in analytics
  • Proficient in SQL and familiar with data visualisation tools such as Looker, Superset, PowerBI, or Tableau.
  • Experienced in working with tools like DBT and Airflow for ETL processes.
  • Skilled in using REST APIs to develop and manage data integrations.
  • Additional Information
  • Why Should You Join Our Team?
  • Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency.
  • Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.
  • What will you be working on?
  • Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance.
  • Driving Accountability: Establish clear ownership for each KPI and actively follow up with accountable stakeholders when targets or SLAs are missed. Ensure root causes are investigated, corrective actions are agreed and completed, and unresolved issues are escalated appropriately.
  • Opportunity Sizing:: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.
  • Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.
  • Commitment to Diversity:
  • The company is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices.
  • If you are passionate about using your analytical skills to influence and improve IT operations within a leading international financial services company, apply now to join us at the company!
  • Good Reads:
  • The company Engineering Blog
  • Platform Engineering KPIs
  • For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
  • We're proud to have a truly international team, and we celebrate our differences.
  • Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
  • If you want to find out more about what it's like to work at the company visit the company's site .
  • Keep up to date with life at the company by following us on LinkedIn and Instagram .
  • Company Description
  • The company is a global technology company, building the best way to move and manage the world’s money.
  • Min fees. Max ease. Full speed.
  • Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, the company is on a mission to make their lives easier and save them money.
  • As part of our team, you will be helping us create an entirely new network for the world's money.
  • For everyone, everywhere.
  • More about our mission and what we offer .

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Company hidden

  • Industry: FinTech

Office in London, United Kingdom

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 5 good signs
  • 1 red flag

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Hybrid in London: only people nearby can take itSlight evidence
  • Asks for Looker, which fewer than 1% of open roles doSlight evidence

Against it1

  • Entry level: the most applied-to level there isModerate evidence

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • dbt
  • Tableau
  • Looker
  • Airflow
  • Power BI
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
2+ years
Tech stack
  • Python
  • SQL
  • dbt
  • Tableau
  • Looker
  • Airflow
  • Power BI

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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