Sr Analyst, Data Solutions

USA - CA - 2411 W Olive Ave, United States

The Walt Disney Company

The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.

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Job Posting Title:

Sr Analyst, Data Solutions

Req ID:

10110577

Job Description:

About the Role & Team

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.

As a Sr Analyst, Data Solutions, you will play a pivotal role in delivering HR Solutions to Corporate, Direct–to–Consumer, and International Teams by building tools & programs to enable strategic HR decision making to provide solutions for business challenges.

The Sr Analyst, Data Solutions is responsible for development, delivery, and support of a portfolio of critical business data intelligence tools that key stakeholders rely on to effectively operate their businesses.  

What you will do:

  • Build solutions for both HR and functional teams that improve efficiency and deliver a consistent output.  Solutions may consist of writing code in Python to help automate a manual and recurring task, utilizing apps such as Smartsheet for larger scale projects, or creating solutions using VBA.

  • Work directly with leaders across the organization to understand their needs and challenges to provide optimal support.

  • Create impactful and easily digestible visualizations for senior leadership that meets business needs.

  • Ensure data accuracy across reporting systems through various auditing processes. Partner with Enterprise People Insights team to alleviate any data discrepancies.

  • May partner with Compensation Operations to help build out reporting for our international segment during annual compensation planning.

Required Qualifications & Skills

  • Bachelor’s degree in Business, Human Resources, Statistics, Applied Math, Computer Science or other similar discipline.

  • 2-4 years of experience working with HR/employee data using statistical languages such as Python

  • Strong analytical and problem-solving skills

  • Demonstrated proficiency in Smartsheet

  • Experience working in data warehouses such as Snowflake or Databrickks

  • Ability to partner and collaborate with a team

  • Strong written, verbal, and graphic communication skills

  • Ability to work with sensitive information and maintain confidentiality

  • Experience with Microsoft Tools (PowerPoint, Excel, Word, Outlook, Teams, Power Query, Power Automate, VBA, etc.)

Proficiency in following Core Competencies:

  • Communication: Effective and respectfully communicates with business partners, segment partners, fellow workers, and management.     

  • Relationships & Teamwork: Act as an integral part of the team and help others succeed. Work to build relationships with other teams across the company.       

  • Ambition & Motivation: Show great motivation for work and be ambitious to provide additional benefit to the team. Seek out learning opportunities and new ways of performing tasks.  

  • Work Ethic & Standard: Work hard towards goals and provide a world class standard. Follows through on commitments.  Takes personal responsibility for decisions, actions & failures.  Persists in the face of challenges and setbacks & pushes self and helps others to achieve results.

  • Planning & Organization: Created & followed through on plans, has shown great organization abilities that benefit the team.   

  • Adaptability & Flexibility: Flexible in duties and easily adapts to different scenarios. Able to learn quickly when confronted with new situations and will attempt multiple times using multiple methods to identify the right solution. Open to change & willing to take on challenge of new or unfamiliar tasks. Adapts quickly to changing conditions & can manage the risk that comes with moving forward when the outcome isn't certain.

  • Tech Savvy: Continuously applies technical skills, knowledge, or capabilities to benefit the team. Readily learns & adopts new technologies. Introduces new and different ways of looking at problems.  Encourages diverse thinking and ideas, can champion the best creative ideas or solutions, and actively move them to implementation. Ability to view & think about processes as a whole ecosystem. Can separate and combine activities & tasks into an efficient, simple workflow.

Preferred Qualifications:

  • Experience with HR systems of data and HR processes. Prior Workday or SAP experience a plus.

  • Master’s degree in Statistics, Applied Math, Computer Science or other quantitative discipline.

The hiring range for this position in Burbank is $113,600-$138,800 per year and in New York is $119,000-$145,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
This position can be located near Disney Hub (Burbank, CA or Orlando, FL) with potential opportunities for remote work.

Job Posting Segment:

HR, International, Corporate, & DTC

Job Posting Primary Business:

HR, International, Corporate, & DTC

Primary Job Posting Category:

HRIS/Workforce Technology

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Disney University Building, USA - NY - 7 Hudson Square

Date Posted:

2025-02-07
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Job stats:  1  0  0
Category: Analyst Jobs

Tags: Computer Science Excel Mathematics Python Snowflake Statistics

Perks/benefits: Career development Equity / stock options Flex hours Salary bonus Team events

Region: North America
Country: United States

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