Sr. Business Intelligence Data Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

WHO ARE YOU?

Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! 

THE TEAM

The Core Data Services team is at the center of Data and Analytics initiative. We are in the beginning of our journey to build an enterprise data platform capable to be a true underpinning of any data needs for the enterprise. Our mission is to make reliable data available and enable value creation by the data community of engineers, analysts and decision makers. Core Data Services team consists of Platform engineering team, Data Engineering, Data Enablement and Operations team. BI is part of Data Enablement and is a critical component of providing users visibility into the data and providing self-service for interacting with data first hand.

Core Data Services is currently in process of adopting Spark as our main ETL engine and realizing the value of highly functional, performant and transparent Data Lake, all this while maintaining and streamlining existing data infrastructure and doing careful migration. These activities will create new opportunities for business intelligence functionality and effective data value delivery.

THE ROLE

Our mission is to provide the right users with the right data at the right time and we are dedicated to defining and building a world class service model for Business Intelligence. This is an exciting opportunity for a BI QA Analyst to explore our data in all it’s glory and identify and address data issues in a time sensitive environment. We have numerous sources of data and we need to clearly understand the differences and standardize the metrics on which we’re reporting and how data relates to each other. 
The ideal candidate is obsessed with the quality of data. This position requires someone with strong analytical and statistical skills, with a solid knowledge of SQL and various BI toolsets. The candidate must also possess deep technical experience working with disparate sources of data such as marketing and orders data. Success in this role means understanding the data journey from source to visualizations, communicating with end users and going through troves of existing reports and dashboards to: 1) Identify any data quality issues, 2) Identify irregularities in the way data is being used in addition to how data is perceived. Our candidate is motivated by driving value to the business, holds themselves to a high standard, is meticulously detailed, can work and learn independently, is tenacious in chasing down the people who can help get a problem solved, and loves working collaboratively – with no ego – for the betterment of the team.

WHAT THIS ROLE WILL DO

• Design, develop, build, automate QA/testing framework for BI data development
• Design, develop, build, automate QA/testing framework for BI development for reporting and dashboards
• Partner with various teams, including Product, Engineering, Finance, and others to assess how data should tie out / relate from disparate sources
• Partner with various teams, including Product, Engineering, Finance, and others to regularly as part of the development life cycle Document your work and help maintain our existing documents using Confluence, Google Docs, Lucid Charts and other such tools stack
• Work with the user community to ensure current reports meet expectations
• Work with disparate data sources and be able to compare and identify data quality issues in a time sensitive manner
• Dive into different reports, datasets and dashboards to understand any potential overlaps in data use, discrepancies in logic and make recommendations for streamlining and simplifying

WHAT THIS PERSON WILL BRING

• Strong analytical skills for deep data analysis, data profiling, assessing data fit for purpose
• Required experience analyzing data across disparate sources
• Required experience across marketing data in analyzing, understanding and standardizing metrics
• Required Experience with SQL, Databricks, Python
• Ability to apply advanced analytical techniques to datasets in order to get questions answered by data / understand data better
• Skillset to work with large data volumes
• Detail oriented with strong time management and organizational skills
• Detail oriented with strong time management and organizational skills
• Able to work quickly, able to experiment and amend approach based on data analysis and results with little supervisory input
• Innate willingness to roll up sleeves

BENEFITS & PERKS

Our motto is ‘Taking Care of Our Own’ through 6 pillars of 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 baby bonuses, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network