Job Title: Data Analytics Specialist Location: Hybrid (3 days onsite in Burgess Hill) Contract Type: 6-Month Rolling Contract Pay Rate: 270 per day (Inside IR35) Overview: An exciting opportunity has arisen for a skilled Data Analytics Specialist to join a dynamic team. The successful candidate will bring a strong analytical mindset and a passion for leveraging data to generate actionable insights. This hybrid role will require working onsite three days per week in Burgess Hill, collaborating with cross-functional teams to ensure successful data engagement, analysis, and compliance. Key Responsibilities: Essential Skills & Experience: 3-5 years of experience in data analytics and working with complex datasets. Strong proficiency in SQL and a basic understanding of Python and Jupyter Notebook. Hands-on experience with Tableau or Power BI (training will be provided if needed). Knowledge of statistical analysis techniques such as hypothesis testing and regression analysis. Familiarity with Agile project management frameworks and data governance principles. Proven ability to adapt to shifting priorities and deliver solutions in ambiguous environments. Strong written and verbal communication skills, with the ability to tailor messages to various audiences. Desirable Skills: Experience with tools like JIRA, SharePoint, and Confluence. Basic understanding of software development and testing principles. Interest in growing product management capabilities. Knowledge of colleague privacy and compliance processes (training provided). Analysis Analyse and identify source system requirements from backlog priorities. Engage with source systems, performing data analysis and identifying valuable insights. Own end-to-end engagements, from analysis and documentation to communicating results to stakeholders. Investigate and resolve data-related issues and proactively explore use cases for additional insights. Identify key Personally Identifiable Information (PII) fields and assess related privacy impacts. Testing Define and validate expected results in collaboration with relevant teams. Perform end-to-end validation of data, including business rule applications and transformations. Product Delivery Identify and mitigate risks, challenges, and opportunities. Collaborate on backlog prioritisation processes and contribute to writing business rules for data transformation. Assist in data extraction and support data display within insight applications. Compliance Ensure colleague privacy and data protection is maintained throughout all processes. Support compliance stakeholders by preparing and presenting relevant documentation (e.g., Privacy Impact Assessments). Provide data analysis to support audit and process activities. *Rates depend on experience and client requirements