GT

Data Strategy Analyst | NDA

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
Our clients operate in industries like healthcare, life sciences, fintech, retail, e-commerce, finance and many more - giving our team exposure to real-world, high-impact projects.
On behalf of our client, GT is looking for a Data Strategy Analyst to support a large-scale Data Transformation Programme focused on enterprise data strategy, governance and data quality.

About the Role
We’re looking for a Data Strategy Analyst to join a UK-based client in the healthcare and pharmacy domain.
In this role, you’ll support the client’s enterprise Data Transformation Programme by helping develop and implement data strategy, governance practices and data quality initiatives.
Working closely with both business and technical teams, you’ll help establish clear ownership models, coordinate key data activities and contribute to building a strong foundation for enterprise-wide reporting and analytics.
This role is ideal for someone who enjoys working at the intersection of business and data, collaborating with multiple stakeholders and helping drive strategic data initiatives.

Project duration: until the beginning of December (with possible extension).
Start date: ASAP.

Responsibilities:
Maintain and help coordinate the enterprise data backlog, ensuring priorities reflect agreed value opportunities and programme direction.

Support the Head of Data Strategy in establishing the data governance and domain ownership model, including principles, roles and RACI.

Contribute to the Customer Data Strategy and support governance reviews, producing clear recommendations.

Coordinate foundational data activities, including data quality improvements and the move toward a sustainable Data Quality Framework.

Assist in defining and testing elements of the operating model for reporting, analytics and continuous delivery.

Prepare analysis, documentation and recommendations to support decision‑making in programme‑level forums.

Essential knowledge, skills & experience:
At least 7+ years of experience in Data Strategy, Data Governance or Enterprise Data Management.

Good understanding of enterprise data governance principles.

Experience working with data quality initiatives and governance processes.

Experience managing or coordinating backlogs and priorities.

Ability to work effectively with both business and technical stakeholders.

Strong analytical, documentation and communication skills.

Advanced English.

Nice-to-have
Experience supporting enterprise Data Transformation Programmes.

Knowledge of Customer Data Strategy initiatives.

Experience defining or supporting reporting and analytics operating models.

Familiarity with data governance frameworks and RACI models.

Soft Skills
Strong communication and stakeholder management skills.

Analytical mindset.

Well-organised and detail-oriented.

Proactive and solution-oriented.

Ability to prioritise multiple initiatives.

Comfortable working in cross-functional teams.

Interview Steps
GT interview with Recruiter

Technical interview

Final interview

Client meeting

Reference check

Security check

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Finance Writing Data Strategy remote

Likely questions

  1. Tell us about work you have done that is close to the Data Strategy Analyst | NDA role.
  2. How would you approach your first 30 days at GT?
  3. Which of Data Analysis, Finance and Writing have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and Writing.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Strategy Analyst | NDA role because I can bring practical experience in Data Analysis, Finance and Writing, learn the team quickly, and contribute to the outcomes GT needs from this hire.

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