Responsibilities : • Support the Manager, People Analytics in implementing Ticketmaster HR's people data strategy. • Build, maintain, and enhance Workday reports (advanced, matrix, composite) to ...
3 Ticketmaster Data Analyst Jobs Hiring Near You
Responsibilities : • Support the Manager, People Analytics in implementing Ticketmaster HR's people data strategy. • Build, maintain, and enhance Workday reports (advanced, matrix, composite) to ...
Analytical Prowess: Get excited working with large data sets and be able to structure, high-quality ... Ticketmaster is the world's largest ticket marketplace and the global market leader in live event ...
Analytical Prowess: Get excited working with large data sets and be able to structure, high-quality ... Ticketmaster is the world's largest ticket marketplace and the global market leader in live event ...
Lead Engineer, CSRE
Mountain Home, TX · On-site
$88.80K - $116.90K/yr
Ticketmaster is a global leader in live event ticketing, dedicated to connecting fans with the ... analyses with partner teams, focusing on reducing the impact of contributing factors and ...
Lead Engineer, CSRE
Mountain Home, TX · On-site
$88.80K - $116.90K/yr
Ticketmaster is a global leader in live event ticketing, dedicated to connecting fans with the ... analyses with partner teams, focusing on reducing the impact of contributing factors and ...
Ticketmaster Jobs Information
What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.
What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?
Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.
What does a Data Analyst do?
A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
How much does an entry level data analyst make?
Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.
What jobs make $3,000 a month without a degree?
Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.
Will AI replace a data analyst?
AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What is the difference between Data Analyst vs Data Scientist?
| Aspect | Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools | Bachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees |
| Work Environment | Business settings, focusing on data reporting and visualization | Research and development environments, focusing on predictive modeling and complex algorithms |
| Employer & Industry Usage | Retail, finance, healthcare, and marketing companies | Tech firms, research institutions, and large enterprises |
While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.
What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Ticketmaster?
Job description
Job Summary:
Ticketmaster is a leading global ticket marketplace and part of Live Nation Entertainment. They are seeking a People Analytics & Workday Reporting Analyst to support the HR Shared Services team by delivering high-quality people insights through data analysis and reporting, utilizing Workday and other HR tools.
Responsibilities:
• Support the Manager, People Analytics in implementing Ticketmaster HR’s people data strategy.
• Build, maintain, and enhance Workday reports (advanced, matrix, composite) to support HR and business reporting needs.
• Extract, compile, and validate HR data from multiple systems including Workday, Culture Amp, and other people platforms.
• Produce regular people metrics reports and dashboards covering turnover, retention, recruitment, DEI, talent mobility, reward, and other workforce indicators.
• Develop and update analytics dashboards (e.g., in Workday) for HR and business leaders.
• Assist in establishing and tracking key people KPIs through automated reporting.
• Support the creation and delivery of organizational health scorecards and insights packs for senior HR and business leaders.
• Analyze data to identify trends, patterns, risks, and opportunities, providing clear explanations and insights.
• Respond to ad‑hoc reporting and data requests across multiple HR and business areas.
• Provide Workday reporting expertise to help drive adoption of self‑service reporting.
• Ensure high standards of data accuracy through data quality checks and validation processes.
• Help automate recurring reporting processes, including blending datasets for biannual promotion cycles.
• Maintain confidentiality and adhere to best practices for safeguarding sensitive workforce data.
• Contribute to continuous improvement of people analytics tools, methodologies, and processes.
• Support additional projects and duties as needed.
Qualifications:
Required:
• At least 3 years of experience as a People Analytics or business analytics professional
• Hands‑on experience building Workday reports (advanced, matrix, composite required)
• Workday data sources, business objects, report joins, prompts, custom objects, and report optimization
• Security domain understanding related to reporting and data access
• Strong proficiency with Microsoft Office suite with special emphasis in Excel required
• Strong knowledge of HR analytics reporting best practices
• Knowledge of various people analytics KPIs required (ie. time to fill, turnover, etc)
• Excellent critical thinking and problem-solving skills, to resolve data issues and any other barriers to progress
• Strong and clear verbal and written communication skills
• Effective interpersonal skills to work with various members in the department and upper management/leadership
• Ability to maintain discretion and confidentiality
• Strong attention to detail and highest level of accuracy
• Takes initiative and self-directs work with limited supervision
• High degree of business acumen
• Ability to handle multiple tasks and priority changes in a fast-paced environment
• Working understanding of human resources principles, practices and procedures
• Excellent time management skills with a proven ability to meet deadlines
Preferred:
• Working knowledge of Workday (or other HRIS), Culture Amp, Smartsheet, Google Docs and or all other related systems
• Experience with or interest in AI‑driven analytics tools is desirable
• Experience analyzing data and data mining using tools such as Alteryx, R or Python preferred
• Experience in querying data through SQL preferred
Company:
Ticketmaster is a ticket sales and distribution company that sells tickets for concerts, sports, and events. Founded in 1976, the company is headquartered in West Hollywood, USA, with a team of 10001+ employees. The company is currently Late Stage.
Ticketmaster is a leading global ticket marketplace and part of Live Nation Entertainment. They are seeking a People Analytics & Workday Reporting Analyst to support the HR Shared Services team by delivering high-quality people insights through data analysis and reporting, utilizing Workday and other HR tools.
Responsibilities:
• Support the Manager, People Analytics in implementing Ticketmaster HR’s people data strategy.
• Build, maintain, and enhance Workday reports (advanced, matrix, composite) to support HR and business reporting needs.
• Extract, compile, and validate HR data from multiple systems including Workday, Culture Amp, and other people platforms.
• Produce regular people metrics reports and dashboards covering turnover, retention, recruitment, DEI, talent mobility, reward, and other workforce indicators.
• Develop and update analytics dashboards (e.g., in Workday) for HR and business leaders.
• Assist in establishing and tracking key people KPIs through automated reporting.
• Support the creation and delivery of organizational health scorecards and insights packs for senior HR and business leaders.
• Analyze data to identify trends, patterns, risks, and opportunities, providing clear explanations and insights.
• Respond to ad‑hoc reporting and data requests across multiple HR and business areas.
• Provide Workday reporting expertise to help drive adoption of self‑service reporting.
• Ensure high standards of data accuracy through data quality checks and validation processes.
• Help automate recurring reporting processes, including blending datasets for biannual promotion cycles.
• Maintain confidentiality and adhere to best practices for safeguarding sensitive workforce data.
• Contribute to continuous improvement of people analytics tools, methodologies, and processes.
• Support additional projects and duties as needed.
Qualifications:
Required:
• At least 3 years of experience as a People Analytics or business analytics professional
• Hands‑on experience building Workday reports (advanced, matrix, composite required)
• Workday data sources, business objects, report joins, prompts, custom objects, and report optimization
• Security domain understanding related to reporting and data access
• Strong proficiency with Microsoft Office suite with special emphasis in Excel required
• Strong knowledge of HR analytics reporting best practices
• Knowledge of various people analytics KPIs required (ie. time to fill, turnover, etc)
• Excellent critical thinking and problem-solving skills, to resolve data issues and any other barriers to progress
• Strong and clear verbal and written communication skills
• Effective interpersonal skills to work with various members in the department and upper management/leadership
• Ability to maintain discretion and confidentiality
• Strong attention to detail and highest level of accuracy
• Takes initiative and self-directs work with limited supervision
• High degree of business acumen
• Ability to handle multiple tasks and priority changes in a fast-paced environment
• Working understanding of human resources principles, practices and procedures
• Excellent time management skills with a proven ability to meet deadlines
Preferred:
• Working knowledge of Workday (or other HRIS), Culture Amp, Smartsheet, Google Docs and or all other related systems
• Experience with or interest in AI‑driven analytics tools is desirable
• Experience analyzing data and data mining using tools such as Alteryx, R or Python preferred
• Experience in querying data through SQL preferred
Company:
Ticketmaster is a ticket sales and distribution company that sells tickets for concerts, sports, and events. Founded in 1976, the company is headquartered in West Hollywood, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Ticketmaster
Sourced by ZipRecruiter
Industry
Arts, entertainment, and recreation
Company size
1,001 - 5,000 Employees
Headquarters location
Los Angeles, CA, US
Year founded
1976