Data Strategy Analyst | NDA

Remote from: Europe, Poland
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 21 Jul 2026
Apply before: 21 Aug 2026
Experience level: Senior
Views / Applies: 62 / 5

About GT

GT provides clients with offshore product teams from CEE, a product development studio & data science services.

Human Resources
2019

AI Summary

This role is for a Data Strategy Analyst to support a large-scale Data Transformation Programme in the healthcare and pharmacy domain. The analyst will help develop and implement data strategy, governance, and data quality initiatives, working closely with both business and technical teams. Key responsibilities include maintaining an enterprise data backlog, supporting the Head of Data Strategy in governance and ownership models, and coordinating foundational data activities. The ideal candidate has at least 7+ years of experience in data strategy, governance, or enterprise data management, with strong analytical and stakeholder management skills. This is a contract position starting ASAP until December, with possible extension.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight Requires 7+ years in data strategy and governance, enterprise-level coordination, and strong stakeholder management, making it challenging but not extreme.

Salary Analysis

AI Insight The offered salary is not specified. Based on the US market for a Data Strategy Analyst with 7+ years experience, the typical range is $90,000-$150,000, with a median of $120,000.

Core Skills Required

Data Strategy Data Governance Data Quality Stakeholder Management Enterprise Data Management Analytics RACI Data Transformation Backlog Management Cross-functional Teams

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the Data Strategy Analyst position, as advertised. With over 8 years of experience in data strategy, governance, and enterprise data management, I have successfully supported large-scale data transformation programmes in complex, cross-functional environments. My background includes establishing data governance frameworks, coordinating data quality initiatives, and managing backlogs to align with strategic priorities.

In my previous role at a healthcare analytics firm, I collaborated with business and technical teams to define ownership models and drive data quality improvements, resulting in a 20% increase in data accuracy. I am adept at producing clear documentation and recommendations for programme-level decision-making, and I thrive in roles that bridge business and data domains.

I am excited about the opportunity to contribute to your data transformation programme and would welcome the chance to discuss how my skills align with your needs. Thank you for considering my application.

Sincerely,
[Your Name]

Sample Interview Questions

Can you describe a time when you helped implement a data governance framework in a large enterprise?

In my previous role at a healthcare company, I led the establishment of a data governance framework for patient data. I worked with business and IT stakeholders to define data ownership, create a RACI matrix, and set up a data quality dashboard. This improved data accuracy by 15% and reduced reporting errors.

How do you prioritize competing data initiatives when multiple stakeholders have urgent requests?

I align priorities with the overall data strategy and business value. I use a backlog with clear criteria like impact, effort, and dependencies. I also hold regular stakeholder meetings to ensure transparency and adjust priorities based on changing needs.

What experience do you have with data quality frameworks?

I have implemented data quality frameworks that include defining metrics, setting thresholds, and establishing remediation processes. For example, I set up automated data quality checks and alerts in a customer data platform, which reduced data issues by 30%.

How do you ensure effective communication between technical and business teams?

I act as a translator, using business language for stakeholders and technical details for engineers. I create documentation like data dictionaries and process flows, and I hold joint workshops to ensure alignment.

Describe a data transformation programme you supported. What was your role and what were the outcomes?

I supported a multi-year data transformation at a financial services firm. My role was to coordinate the data backlog, assist in defining the operating model for analytics, and ensure data quality. The programme successfully migrated legacy data to a modern data lake, enabling real-time reporting.

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.