Role Description Co-own Formula's entire analytics function alongside our Head of BI — half builder, half investigator, in one seat. This is not a data engineer and not a product analyst; it's the rare full-stack data person who makes both possible without a team in between, on a modern stack (Snowflake, dbt, Python, Dagster, Metabase) with AI woven into daily work. Qualifications - Hands-on hybrid experience: personally written dbt models and personally run analyses that moved business decisions. - Strong SQL and dbt in a modern warehouse (Snowflake, BigQuery, Redshift, or Databricks); able to design a data layer from scratch. - Python at the level of pipelines and analytical notebooks — pandas, applied statistics, light ML where it earns its place. - Statistical literacy you can defend — A/B testing, incrementality, correlation vs. causation handled correctly. - Russian language for day-to-day work with the team. Requirements - Someone who has been the strongest data person on a small team and is ready to do it again — with a co-owner mandate, not an executor seat. - A pragmatic builder rather than a craft-obsessed engineer: ships the model that earns its keep, not the architecture diagram. - A curious investigator who walks into the room with the answer, not the dashboard — and can push back on the question if it's wrong. - Comfortable in a no-process environment: forms the request themselves, navigates ambiguity without hand-holding. - Treats AI tools as a daily multiplier, not a novelty — already builds Claude / Cursor / GPT into how the work gets done. Benefits - Inspiring Mission: Help users live longer, healthier lives through innovative products. - Impact: Directly influence company growth with minimal bureaucracy. - Attractive Compensation: Competitive salary and comprehensive benefits package. - Work-Life Balance: Flexible working hours. - Professional Development: Tuition reimbursement. - Remote Work: Fully remote, with a preference for candidates within ±2 hours of CET. - Health insurance, gym membership reimbursement, home office support.

• Design, develop, and maintain Python-based analytical applications supporting reporting, planning, and decision-making • Build and support data pipelines and workflows, including ingestion, transformation, validation, and integration • Develop and optimize SQL queries, database schemas, and data access patterns for performance and scalability • Create user-facing dashboards, visualizations, and analytical interfaces to enable data exploration and insight generation • Translate complex analytical requirements into scalable, maintainable software solutions • Implement best practices in software development, including version control, testing, and code reviews • Support application lifecycle management, including enhancements, troubleshooting, and performance optimization • Collaborate with technical teams and stakeholders to define requirements and deliver high-quality solutions • Ensure secure development practices and proper handling of data and application dependencies • Document application architecture, workflows, and operational processes

• Design and implement scalable analytical data models using dimensional modeling best practices • Build and maintain fact tables, dimension tables, star schemas, and reporting datasets • Develop and manage DBT transformations, models, and analytics workflows • Create scalable ELT pipelines using Databricks, SQL, Python, and cloud-based technologies • Collaborate with stakeholders to translate business and reporting requirements into reliable data solutions • Ensure data quality, consistency, and governance across analytics environments • Support modern analytics initiatives using Microsoft Fabric, SQL endpoints, and related tooling • Contribute to AI-enabled analytics initiatives, integrations, or modern data platform enhancements • Support Oracle-based data integrations and related analytics workflows • Assist with legacy Microsoft data stack environments when required, including SQL Server, SSRS, SSIS, and SSAS • Support modernization efforts involving legacy reporting and BI systems

Role Description As a Senior Workday Reporting & Analytics Specialist, you will play a key role in enabling trusted, high-quality HR reporting across our global organization. You will support data validation, reporting governance, and external reporting processes, helping ensure that our people data is accurate, transparent, and meaningful for decision-making. In this role, you will collaborate closely with HR and business stakeholders, contributing to a culture of data integrity, inclusion, and continuous improvement. You will help shape reliable reporting solutions that support both operational excellence and strategic insights. What You’ll Do - Design and deliver accurate, insight-driven Workday reports and dashboards across Core HCM and related modules - Partner with stakeholders to translate requirements into meaningful HR analytics - Continuously enhance global reporting capabilities supporting improvements during Workday releases - Help maintain high data quality by proactively identifying inconsistencies and contributing to solutions - Support the delivery and validation of external HR reporting, ensuring accuracy, compliance, and audit readiness - Serve as a trusted point of contact for HR Workday reporting support, troubleshooting issues, and driving solutions Qualifications - Bachelor’s degree in Human Resources, Information Systems, Business Analytics, or a related field - 3+ years of experience in HR reporting, HRIS, or workforce data analysis - Hands-on experience building and maintaining Workday reports - Strong data validation and testing mindset with high attention to detail - Advanced knowledge of Workday reporting (composite, matrix, calculated fields, dashboards) - Familiarity with external HR reporting frameworks (e.g., Global Reporting Initiative, Corporate Sustainability Reporting Directive, Securities and Exchange Commission) is an advantage - Experience with analytical tools such as SQL, Power BI, or Tableau is a plus Benefits - We welcome applicants from a wide range of backgrounds and experiences. Even if you don’t meet every listed qualification, we encourage you to apply. Company Description Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate . Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.