Data Analyst | Power BI, SQL, Python, Azure

1.

The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems

2.

• • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.

• • Perform advanced data analysis and visualisation to support business decision-making.

• • Develop and maintain data pipelines and queries using SQL and Python.

• • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights.

• • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.

• • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks.

• • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.

• • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.

• • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making.

• • Document data science workflows and maintain reproducibility of experiments and models.

• • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts.

• • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.

3.

• • Professional Certifications (preferred or in progress):
• - Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• - SnowPro Core Certification (Snowflake)
• - Microsoft Certified: Azure Data Engineer Associate
• - AWS Certified: Data Analytics Specialty
• • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
• • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue.
• • Hands-on experience in building and deploying machine learning models.
• • Ability to translate complex data into actionable insights.
• • Excellent problem-solving and communication skills.

4.

• Balances team development with delivery priorities and business needs.
• Makes informed decisions on technical design, resource allocation, and delivery timelines.
• Evaluates project outcomes and identifies opportunities for team and process improvement.
• Encourages experimentation while maintaining delivery discipline and governance.

5.

• Acts as a key liaison between technical teams and business stakeholders.

6.

Financial:

• Supports budgeting and cost optimisation for analytics projects.
• Contributes to revenue growth through data-driven client solutions.

Non-Financial:

• Drives adoption of modern analytics tools and practices.
• Builds strong relationships across business units and with external clients.

7.

• Build strong relationships and influence key decision makers.
• Able to work under pressure and adapt to chang