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Live Nation
Live Nation

Multinational entertainment company.

Sr. Business Data Analyst

직무데이터 분석
경력시니어급
위치Beverly Hills, Canada, United States
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Python

SQL

Tableau

Machine Learning

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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Live Nation 소개

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+

직원 수

Beverly Hills

본사 위치

$12.5B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.2

보상

2.8

문화

4.1

커리어

2.5

경영진

2.7

65%

지인 추천률

장점

Great team environment and colleagues

Fun atmosphere and exciting events

Flexible hours and work-life balance

단점

Long hours during peak season/events

Poor compensation and below industry salary

Poor management and lack of communication

연봉 정보

60개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · BI Data Engineer

3개 리포트

$188,500

총 연봉

기본급

$145,000

주식

-

보너스

-

$130,000

$195,000

면접 후기

후기 2개

난이도

2.0

/ 5

소요 기간

21-35주

합격률

50%

경험

긍정 0%

보통 50%

부정 50%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Group/Panel Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Customer Service Scenarios

Technical Knowledge