Sr. Business Data Analyst

Live Nation Entertainment is a leading global entertainment company, and they are seeking a Sr. Business Data Analyst. The role involves conducting data analysis to identify discrepancies, integrating data into a unified platform, and collaborating with the BI team to optimize data architectures and products.

Responsibilities:

• Conduct data analysis to identify and reconcile data discrepancies among different platforms
• Integrate disparate "source of truth" elements into a unified, authoritative global data platform
• Collaborate with and provide additional Product leadership for the business intelligence (BI) Team to ensure optimized data architectures and valuable data products
• Assist with data validations during data migration projects such as moving to newer versions of Google Analytics, changing data lake vendors, or updating source systems’ transactional databases
• Perform ad-hoc data analysis to evaluate emerging trends, opportunities, and hypotheses
• Identify valuable views and data products for BI users, analytics teams, marketers, strategy teams, and other analysts
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders
• Drive continuous improvements to our products, tools, and processes by sharing learnings, constructive feedback, and input with internal technical and analytics teams
• Design data models to best support analytics needs of the business, consistent with data strategy principles
• Partner with Architecture and Governance teams to maintain accurate documentation
• Automate manual analysis processes and present back on time and resource gains
• Independently learn new technologies to best identify valuable data products for the business as well as resolve data accuracy and report production issues

Requirements:

• Bachelor's Degree or foreign equivalent in Computer Science, Mathematics, Engineering, Management, Business Analytics, Economics, Finance, or a related field
• Five (5) years of experience as a Sr. Business Data Analyst, Data Scientist, Programmer Analyst, or related occupation
• Experience with SQL and Python
• Experience synthesizing large data sets for strategic business decisions
• Experience evaluating data anomalies and complex patterns
• Ability to communicate data and be concise with insight about how the data drives outcomes for leadership and stakeholders
• Experience with data management and analysis tools: Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos; Splunk, Kibana, DataDog, or New Relic)
• Experience with A/B/n testing
• Experience with statistical modelling and machine learning techniques
• Experience with ETL and streaming data orchestration (PySpark)