Senior BI Data Analyst

October 10

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Live Nation Entertainment

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Concerts • Festivals • Ticketing • Sponsorship • Artist Management

10,000+

💰 Post-IPO Debt on 2023-01

Description

•Conduct data analysis to identify or reconcile data differences among different platforms, including multiple international data lakes and sources, each containing source of truth elements that must be combined into a single authoritative global data platform. •Collaborate with and provide additional Product leadership for the BI Team to ensure optimized data architectures and valuable data products. •Assist with data validations in ongoing data migration projects such as moving to newer versions of Google Analytics, changing data lake vendors, or updating source systems’ transactional databases. •Conduct ad-hoc data analysis to evaluate emerging trends, opportunities, and hypotheses. •Identify valuable views and data products for business intelligence (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. •Demonstrate a strong understanding of the analytics needs of the international business, the global business context of the data, and the data/tooling landscape and roadmap. •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

•5+ years’ experience in Data Analysis or Business Intelligence in an entertainment or B2C environment, including strong proficiency (5+ years) in SQL and Python •Strong experience with synthesizing large data sets into trends to drive strategic business decisions and hypothesis evaluations (experience with CPRA and GDPR is a plus) •Strong analytical and problem-solving skills with focus on quality and attention to detail; able to develop and use structured approaches to identify root causes and recommend resolutions •Excellent pattern recognition, and a general curiosity to uncover and evaluate data anomalies •Excellent communicator with superior written, verbal, presentation and interpersonal communication skills; ability to narrate complex stories with data and be concise with insight about how the data drives outcomes for leadership and stakeholders •High level of autonomy in a global, fast-paced environment, with excellent time management skills to resolve multiple interrupt-driven priorities concurrently •Committed and able to adapt quickly; ability to work autonomously while ensuring that new knowledge is shared with other teams •Flexible and comfortable with ambiguity; “no job too big or too small” mentality •Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus) •Proficient in A/B/n testing (experience in tools like Amplitude or Split.io a plus) •A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.) •ETL and streaming data orchestration experience a plus (PySpark experience a huge plus) •Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)

Benefits

•Health: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) •Yourself: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets •Wealth: 401(k) program with company match, Stock Program •Family: New parent programs & support including caregiver leave and childcare cash, infertility support •Career: Tuition reimbursement, student loan repayment internal growth and development programs & trainings