About this role.
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
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Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
3/5Communication Load
5/5Salary analysis
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Core skills
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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
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.
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.
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%.
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.
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.
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
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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