Creating a world where pets live longer, healthier lives, from their very first meal. Learn more about our brands. We’re Looking For A(n): Data Analytics Intern Location: Remote What You’ll Be Doing: The Data Analytics Intern supports the Golden Pet Brands Data Team in delivering timely, accurate insights across our portfolio of pet brands. This role assists with ad hoc analyses, reporting and dashboard maintenance, data quality and database management, and the development of AI-assisted analytics workflows. The position exists to expand the Data Team's capacity to serve business stakeholders, from brand managers to executives, while giving the intern hands-on experience with a modern data stack (BigQuery, Rill, Tableau) and real-world applications of AI in analytics. - Perform ad hoc data analyses and data pulls in response to requests from brand teams, territory managers, finance, and other business stakeholders, delivering clear, accurate summaries of findings. - Write and validate SQL queries against the company data warehouse (BigQuery) to support reporting, analysis, and data quality checks. - Assist with maintenance and quality assurance of dashboards and reports across the BI stack (Rill, Tableau, Looker), including validating metrics against source-of-truth definitions. - Support data governance and enablement efforts, including documenting metric definitions, data sources, and analytical workflows for internal reference. - Contribute to the development and testing of AI-assisted analytics workflows and automation, helping quantify time savings and improve team efficiency. - Assist with intake, triage, and fulfillment of data requests submitted through the team's ticketing system (Jira), ensuring timely follow-up and clear communication with requesters. - Perform data cleaning, organization, and audit tasks to maintain the accuracy and integrity of key datasets. - Prepare summary workbooks, presentations, and other shareable deliverables for internal stakeholders, including executive audiences. Qualifications (Note: We strongly encourage you to apply even if you don’t tick ALL of these boxes.): - Working knowledge of SQL and strong Excel/Google Sheets skills; familiarity with BI tools (Tableau, Looker, or similar) and Python a plus. - Interest in AI tools and their application to analytics workflows. - Strong attention to detail and commitment to accuracy — validates numbers before sharing and asks clarifying questions rather than guessing. - Ability to translate ambiguous business questions into concrete, answerable analyses. - Clear written communication; able to summarize findings for non-technical and executive audiences. - Organized and self-directed; manages multiple requests and deadlines with a service-oriented mindset. - Discretion in handling confidential business and customer data. - Pursuing or recently completed a degree in Data Analytics, Statistics, Computer Science, Business, Economics, or a related field. Golden Perks & Benefits: - Through our charity sponsorships, you can make a positive impact on communities worldwide. We’ve donated over $6.1 million to date. - Professional development opportunities with mentorship, continuous learning programs, empowering you to progress and excel in your career. - Virtual and in-person company events, like our annual holiday party, happy hours, and virtual cooking nights, designed to cultivate connections and enhance work-life balance. To read more about our Perks & Benefits, click here. The base salary range is $17.00-$20.00. The posted salary range in this job posting reflects data based on California's cost of labor analysis. This salary range is subject to change per state; please click here to find the pay differential in your state of residence if the role is remote” Salary is based on a wide range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geographical location. We will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. A Note to Recruiting Agencies: At Golden Pet Brands, we handle all hiring through our internal Talent Acquisition team. Occasionally, we might use staffing or recruiting agencies to support our internal team in finding the right candidates. Agencies are not authorized to contact our hiring teams directly to present candidates. Our internal Talent Acquisition team is responsible for all candidate presentations to our hiring managers. Golden Pet Brands will need written approval and a signed agreement before submitting any candidate info for a specific job opening. Without this, we won’t pay any fees for placements. Thank you for your understanding. Candidate Safety: The safety of our candidates is our highest priority. When looking for a job, please be aware of cyber criminals, fake domains, and fraudulent job offers. Golden Pet Brands recruiters will only contact applicants from our official company e-mail domain, (NAME@GOLDENPETBRANDS.COM) or through our internal Applicant Tracking System, Greenhouse. In addition, Golden Pet Brands recruiters will never send you checks, or ask you to disclose personal financial details. Click here to learn more about general internet safety and our hiring practices.

• Provides targeted pricing guidance by market, geography and consumer segment. • Helps the business achieve sales, revenue and other objectives by identifying and executing pricing strategies and actions aligned with overall business strategy and informed by operational capabilities. • Advises the business on and implements pricing, packaging and monetization strategies for products and services • Forward thinker able to produce/enhance forward looking business cases and volume/revenue models • Maintains logic, algorithms, methodologies and reporting related to the pricing health of the business • Collaborates with Sales, Finance, Marketing, Data Analysis and other teams on pricing models, logic, algorithms, value analytics and pricing / discounting guidelines • Develops standardized reporting/quantitative outputs

• Demonstrates strong data analytical skills with a consistent focus on accuracy and timely delivery of results. • Exhibits thoroughness and attention to detail while executing work assignments and deliverables. • Proven team player with the ability to collaborate effectively with team members across different locations and time zones. • Possesses strong verbal and written communication skills to clearly convey ideas and findings. • Capable of working independently with an innovative mindset, while also contributing collaboratively within cross‑functional teams. • Experienced in applying process improvement methodologies to enhance operational efficiency and data quality. • Extensive experience in data visualization techniques and best practices to deliver meaningful business insights. • Demonstrates a solid foundation in requirements gathering, solution design, and testing principles. • Maintains a strong understanding of database architecture and data structures. • Proactively anticipates potential issues and applies strong problem‑solving and issue‑resolution skills.

• Responsible for analytic data needs of the business unit • Handle complex data projects and act as a lead/resource for other Data Analysts • Support Internal Audit Claims analytics, including recurring claims audit sampling, executive reporting, AuditWell support, Power BI dashboard support, error/CAP trend analysis, and repeatable management-ready analytics • Extract, transform, reconcile, and validate large healthcare claims datasets across enterprise data sources • Perform structured QA, reconciliation, tie-outs, and validation of claims audit reporting, sampling outputs, dashboards, automation results, and executive-ready deliverables • Develop and maintain recurring reports, dashboards, and analytical deliverables using SQL, Power BI, Excel, Snowflake, Teradata, MS SQL Server, or similar data warehouse/business intelligence tools • Partner with audit, data analytics, IT, and business stakeholders to translate reporting, sampling, and automation needs into repeatable data processes, documentation, and validated outputs • Support automation, bot, AI, and process-improvement initiatives through requirements translation, testing support, output validation, documentation, and controlled implementation • Identify data issues, trends, process gaps, and reporting improvement opportunities; communicate findings clearly to management and support timely resolution • Assist with training and mentoring other Data Analysts