Senior Commercial Data Analyst

• Collaborates with business partners to deliver sustainable solutions for analytics and process improvements
• Understands business processes and related data sources, models data for reuse across analyst groups
• Supports analytics data solutions; works with system support teams to correct and/or enhance data
• Acquires, cleans and preprocesses raw data from various sources to ensure accuracy and reliability; maintains knowledge of key systems and queries those systems for data.
• Conducts in-depth analysis of large datasets to extract meaningful insights and trends
• Develops and implements analytical solutions to identify trends, risks, and opportunities
• Performs statistical analysis to identify patterns and correlations in the data
• Creates visually compelling and easy-to-understand dashboards and reports
• Communicates findings to stakeholders through charts, graphs, and presentations
• Ensures integrity and quality of data through regular audits and validation processes
• Works closely with cross-functional teams to understand data requirements and deliver insights
• Drives continuous improvement in business processes and data analytics best practices
• Establishes and supports data governance to ensure data is fit for optimum use by the organization
• Partners and leads initiatives to build sustainable data pipelines, automations, and advanced analytics solutions

• Bachelor's Degree required, with a preference in Business, Analytics, Computer Science, Information Systems, Mathematics, or related.
• Four (4) years of relevant work experience required
• Ability to build strong partnerships with business stakeholders and translate business needs into analytical solutions.
• Passion for solving business problems with data and communicating insights in a clear, actionable manner to drive decision-making.
• Proven ability to think critically and solve complex problems with incomplete information and ambiguous requirements.
• Demonstrates a flexible analytical approach that delivers results at varying levels of precision.
• Experience solving complex business problems through data, including sourcing, querying, analyzing, modeling, and communicating insights that drive business outcomes.
• Experience with business intelligence and data visualization tools such as Power BI or Tableau.
• Experience using SQL and data transformation tools such as ADF, Synapse, Power Query, Databricks, or similar technologies.

Demonstrates expertise in data analysis, data governance, and business intelligence, with a strong ability to communicate insights effectively to stakeholders. Proficient in building sustainable data pipelines and implementing analytical solutions that drive business outcomes.

• Data Analysis
• SQL
• Power BI
• Data Governance
• Business Intelligence

• Data Modeling
• Statistical Analysis
• Data Cleaning
• Data Preprocessing
• Data Visualization

• Critical Thinking
• Problem Solving
• Collaboration
• Communication

• Analytics
• Business Process Improvement
• Data Pipelines
• Data Quality
• Stakeholder Engagement

• Power Query
• Databricks
• Azure Data Factory
• Synapse