Senior Data Analyst

Why We’d Want to Work with You:

As a Senior Data Analyst, you will work with the team to deliver data-driven insights and solutions that help drive internal efficiencies. You will bring extensive expertise in data analysis, visualization, reporting, presenting, and possess experience in the full data analysis lifecycle from data collection to visualization.

Your results-driven and focused mindset drives the success of any initiative you take part in. You must possess a unique blend of business and industry savvy, a big-picture vision, and the drive to make that vision a reality. You must enjoy spending time in all business areas to understand their problems and find innovative solutions for the organization.

You're someone who "gets it", a hands-on practitioner comfortable switching between different reporting and analytics platforms as needs evolve. You understand that great analytics requires both technical depth and strategic thinking, allowing you to contribute to solutions that serve internal teams and support our vision of delivering analytics capabilities to clients.



What You’ll Do

Analyze and interpret complex data sets to identify trends, patterns, and insights.
Partner with stakeholders across the business to identify opportunities, feature gaps, and data-driven recommendations that drive business initiatives.
Design and implement data visualization tools and dashboards in Power BI using best practices, advanced DAX modeling, and reusable design patterns.
Design and optimize data models using dimensional modeling, star schemas, and modern semantic business layers (e.g., Databricks Unity Catalog, Databricks SQL) to ensure scalability, performance, and data governance.
Create and implement frameworks and methodologies for data analysis and reporting, documenting best practices, standards, and analytical approaches in wiki to ensure knowledge sharing and platform health.
Act as the translator between technical and non-technical teams.
Present data insights and visualizations throughout the business.
Stay current with emerging analytics platforms and technologies, evaluating how new capabilities can benefit the organization.
Support the development of client-facing analytics capabilities, understanding reporting and analytical needs across both internal and external users.
Contribute to AI-powered analytics initiatives, exploring how machine learning and AI features can enhance internal operations and client-facing solutions.


What You’ll Need

Minimum 7+ years of experience as a Data Analyst or Senior Data Analyst, with proficiency in Python, SQL, and Power BI, plus strong interest in expanding into Data Engineering and Data Science.
Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) preferred. Relevant certifications (e.g., Microsoft Power BI, Databricks) are a strong plus.
Expert-level proficiency in Power BI, including advanced DAX modeling, performance optimization, and enterprise-scale implementations.
Experience with data manipulation and analysis using SQL and other analytical tools.
Proficiency in Python for data analysis, automation, and working with data processing frameworks.
Hands-on experience with modern cloud data platforms such as Azure Data Factory, Databricks, Synapse, or similar technologies.
Comfortable and adaptable working across different reporting and analytics tools, tool-agnostic with the ability to quickly evaluate and adopt new platforms.
Strong data storytelling skills and visualization experience.
Interest in contributing to AI-powered analytics, with awareness or experience applying machine learning and AI capabilities to solve business problems.
High attention to detail and ability to work independently.
Excellent written and verbal communication skills.
Confident working with large datasets in Excel.
Strong critical thinking and analytical skills to organize and understand complex data.
Ability to effectively collaborate with diverse groups of people.
Comfort using VS Code to manage code and Power BI projects held in a git repository.
Strong documentation habits, maintaining clear and up-to-date wiki documentation of frameworks, methodologies, best practices, and analytical work to support team collaboration.
Ability to interrogate vague or incomplete requirements
Experience managing stakeholders at all levels of the business
Enthusiasm for continuous learning/development in the evolving data technology landscape (especially Microsoft)


Nice to Have:

Understanding of data modeling including dimensional modeling, star/snowflake schemas, and Microsoft Fabric. Familiarity with Databricks Unity Catalog, semantic business layers, and modern data governance approaches.
Experience in the ticketing or live event industry