// Open Role at The Pokemon Company
As a Senior Data Analyst, you'll deliver high-impact insights to inform business and product decisions across fan-facing digital experiences for The Pokémon Company. You'll analyze large datasets, build reports, and evolve data models to ensure accuracy and drive global digital initiatives.
Get to know The Pokémon Company International
The Pokémon Company International manages the Pokémon property outside of Asia and is responsible for brand management, licensing and marketing, the Pokémon Trading Card Game, the animated TV series, home entertainment, and the official Pokémon website. Pokémon was launched in Japan in 1996 and today is one of the most popular children’s entertainment properties in the world.
Learn more online at corporate.pokemon.com (https://corporate.pokemon.com/en-us/) and pokemon.com (https://www.pokemon.com/us?_gl=1*17cpv5d*_ga*OTgxMzkwODEzLjE3MjcxOTg5NjQ.*_ga_DHWT8DSRN3*MTcyNzE5ODk2My4xLjAuMTcyNzE5ODk2My4wLjAuMA..).
https://linkedin.com/company/pokemon https://youtube.com/pokemon https://instagram.com/pokemon https://x.com/Pokemon
Get to know the role
Job Title: Sr. Data Analyst
Job Summary: As a Senior Data Analyst, you will be responsible for delivering high impact insights that inform business and product decisions across fan facing digital experiences and platforms. You will work closely with Product, Engineering, Marketing, and other partners to analyze performance, define success metrics, and support global digital initiatives.
This role spans both ongoing analytical delivery and the evolution of data models, metrics, and reporting capabilities. You will balance day‑to‑day insights, deeper analytical work, and continuous improvement of analytical foundations to ensure accuracy, reliability, and long‑term value.
You are expected to exercise sound judgment by prioritizing analytical work across competing needs, aligning insights with business outcomes, fan experience, and overall data quality.
FLSA Classification (US Only): Exempt
People Manager: No
What You Will Do
What You Will Bring
Base Salary Range: For this role, new hires generally start between $141,085 - $187,718 per year. The full range is $141,085 - $254,111 per year. This range is applicable for the labor market where the role is intended to be hired. The final base salary is directly related to the candidate’s qualifications and professional experience uniquely.
How you’ll be successful
What to expect
The above statements are intended to describe the general nature and level of work being performed by people assigned to this role. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required. Employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. For roles in the United Kingdom, candidates will need the right to work. In some cases, and for some roles, the Company may be able to arrange a visa. For roles in Ireland, this role requires candidates to have the right to live and work in the Republic of Ireland. However, we welcome applications from all nationalities and may consider supporting an employment permit application, in appropriate and suitable cases.
The Pokémon Company International is committed to the inclusion of all qualified applicants for consideration in our job application process. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview, or to otherwise participate in the hiring process, please contact the Talent Acquisition team at accommodationrequest_ta@pokemon.com.
Candidates should have 5+ years of experience in data analysis, business intelligence, or a related analytics role; strong proficiency in SQL and experience with large datasets in cloud or enterprise environments; hands-on experience with data visualization tools such as Tableau, Power BI, or Looker; working knowledge of statistical analysis and experience using Python, R, or similar tools; solid understanding of KPI design, metrics frameworks, and data modeling concepts; ability to manage multiple analytical efforts simultaneously and deliver work independently; experience supporting production analytics; strong communication skills; and a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or equivalent practical experience.