Summary: The Data Analyst role at Care Fertility involves a hybrid position that combines data engineering and analytics to enhance data-driven decision-making within the organization. The successful candidate will develop infrastructure for data processing and reporting, ensuring data accuracy and usability to support business operations. This position is crucial for improving operational efficiency and fostering a data-driven culture across the company.

Key Responsibilities:

• Develop and maintain ETL pipelines for extracting, transforming, and loading data.
• Design and optimise data processing workflows to enhance performance and scalability.
• Implement cloud-based data storage solutions (Azure, AWS, Google Cloud) and ensure seamless integration across business systems.
• Ensure compliance with data governance policies, security standards, and GDPR requirements.
• Create and maintain reports and dashboards in Power BI, Excel, and other reporting tools to provide actionable insights.
• Analyse large datasets to identify trends and patterns that inform decision-making across departments.
• Automate manual reporting processes, improving efficiency and reducing errors.
• Collaborate with stakeholders to define KPIs and build relevant tracking mechanisms.
• Partner with business teams to understand their reporting needs and ensure data accessibility.
• Translate business requirements into structured data models and analytical solutions.
• Educate and guide stakeholders on how to leverage data for informed decision-making.
• Foster a data-driven culture across the organisation.

Key Skills:

• Strong proficiency in writing and optimising SQL queries for relational databases (e.g., SQL Server, PostgreSQL, MySQL).
• Experience in developing interactive dashboards and reports using Power BI with a strong understanding of DAX.
• Experience with tools like dbt, SSIS, Airflow, or Azure Data Factory for building and maintaining ETL processes.
• Proficient in Excel, including pivot tables, advanced formulas, and data modelling.
• Familiarity with Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake.
• Ability to use Python or R for data manipulation and automation (desirable).
• Knowledge of best practices for data security, governance, and GDPR compliance.
• Strong ability to analyse complex datasets and extract actionable insights.
• Excellent troubleshooting skills to resolve data issues or inefficiencies.
• A meticulous approach to data validation and ensuring accuracy.
• Ability to explain technical concepts to non-technical stakeholders.
• Proven ability to work cross-functionally with teams such as IT, finance, and clinical departments.

Salary (Rate): undetermined

City: Nottingham

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other