Data Analyst SQL, Python, Tableau

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