Senior Data Analyst – Contract

Role Overview

• Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement.
• Creating dashboards, reports, and data visualisations using tools such as Tableau, Power BI, or Looker to communicate insights effectively to stakeholders.
• Collaborating with product, engineering, operational, and clinical teams to define reporting requirements and ensure data accuracy and consistency.
• Supporting the development and optimisation of data models and data warehouse structures to improve analytical performance and scalability.
• Performing statistical analysis to support forecasting, experimentation, and data-driven decision-making.
• Translating business questions into analytical frameworks and delivering actionable recommendations based on data findings.
• Monitoring data quality and supporting governance processes to maintain reliable and accurate reporting.
• Working with cloud-based data platforms and warehousing solutions such as Snowflake to support analytics and reporting workflows.
• Supporting ETL and data transformation processes in collaboration with technical teams and data engineers.
• Communicating complex analytical findings clearly to both technical and non-technical stakeholders.
• Collaborating with stakeholders to prioritise analytical initiatives and align reporting with business objectives.
• Assisting with documentation, reporting standards, and best practices for scalable analytics processes.
• Working closely with client teams and cross-functional partners to support successful project delivery and measurable business outcomes.

Requirements

• Significant experience delivering at Senior Data Analyst level.
• Strong SQL skills for data analysis and reporting.
• Experience analysing complex datasets and identifying actionable insights.
• Dashboarding and visualisation experience using Tableau, Power BI, or Looker.
• Familiarity with statistical analysis and data interpretation.
• Experience working with data models and cloud data warehouses such as Snowflake
• highly desirable
• Knowledge of dbt and data transformation workflows
• Strong understanding of data quality and reporting best practices.
• Experience collaborating with product, engineering, and business stakeholders.
• Ability to translate data into clear business insights and recommendations.
• Experience working in agile and cross-functional environments.
• Familiarity with data governance, security, and compliance best practices.
• Excellent communication and collaboration skills.

Tech Stack

• Cloud
• ETL
• SQL
• Tableau

Benefits

• Professional proficiency in English.