
Multinational entertainment company.
Sr. Business Data Analyst
必須スキル
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について

Live Nation
PublicLive 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+
従業員数
Beverly Hills
本社所在地
$12.5B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
2.5
経営陣
2.7
65%
知人への推奨率
良い点
Great team environment and colleagues
Fun atmosphere and exciting events
Flexible hours and work-life balance
改善点
Long hours during peak season/events
Poor compensation and below industry salary
Poor management and lack of communication
給与レンジ
60件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · BI Data Engineer
3件のレポート
$188,500
年収総額
基本給
$145,000
ストック
-
ボーナス
-
$130,000
$195,000
面接レビュー
レビュー2件
難易度
2.0
/ 5
期間
21-35週間
内定率
50%
体験
ポジティブ 0%
普通 50%
ネガティブ 50%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Group/Panel Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Customer Service Scenarios
Technical Knowledge
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