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Sr. Business Data Analyst

Live Nation

Sr. Business Data Analyst

Live Nation

Beverly Hills, CA, USA

·

On-site

·

Full-time

·

3d ago

Job Summary:

Sr. Business Data Analyst (Live Nation Worldwide, Inc.; Beverly Hills, California): 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. Telecommuting from anywhere in the U.S. permitted.

Salary: $158,808 - $166,000 per year

Education Requirements: Bachelor's Degree or foreign equivalent in Computer Science, Mathematics, Engineering, Management, Business Analytics, Economics, Finance, or a related field.

Experience Requirements: Five (5) years of experience as a Sr. Business Data Analyst, Data Scientist, Programmer Analyst, or related occupation.

Must have experience with the following: SQL, and Python; synthesizing large data sets for strategic business decisions; evaluating data anomalies and complex patterns; communicate data and be concise with insight about how the data drives outcomes for leadership and stakeholders; data management and analysis tools: Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos; Splunk, Kibana, Data Dog, or New Relic); A/B/n testing; statistical modelling and machine learning techniques; and ETL and streaming data orchestration experience (Py Spark).

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.

Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.

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About Live Nation

Live Nation

Live Nation Entertainment, Inc. is an American multinational entertainment company that was founded in 2010 following the merger of Live Nation and Ticketmaster. It continues to operate both brands as subsidiary companies, promoting and managing ticket sales for live entertainment internationally.

10,001+

Employees

Beverly Hills

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.2

Compensation

3.4

Culture

4.3

Career

4.0

Management

3.8

75%

Recommend to a Friend

Pros

Great people and team atmosphere

Flexible scheduling

Fun work environment with events

Cons

Low pay relative to responsibilities

Very long working hours

Fast-paced and demanding environment

Salary Ranges

59 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · BI Data Engineer

3 reports

$188,500

total / year

Base

$145,000

Stock

-

Bonus

-

$130,000

$195,000

Interview Experience

2 interviews

Difficulty

2.0

/ 5

Duration

21-35 weeks

Offer Rate

50%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Group/Panel Interview

5

Offer

Common Questions

Behavioral/STAR

Past Experience

Culture Fit

Customer Service Scenarios

Technical Knowledge