Data & Visualization Analyst

Job summary

ABOUT THE BRAND: Cal*** Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Cal***, Odyssey, TravisMathew, and OGIO.

Qualifications

• Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward.
• into data models and reporting solutions.
• Experience partnering with data engineering or IT teams on shared data architecture and pipeline development.
• Python or other scripting experience is a plus.
• Supply chain domain knowledge is a plus.
• Golf industry knowledge is a plus.
• EDUCATION AND EXPERIENCE:
• Bachelor’s degree in computer science, business administration, or other “STEM” programs.
• DE&I and EEOC:
• Inclusion & Diversity: As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity.
• We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.
• If your experience is close to what we’re looking for, please consider applying.

Responsibilities

• Use SQL to build and maintain views and tables in a cloud data warehouse, following established development standards and collaborating with IT data engineers on data pipeline architecture.
• Design, build, and maintain Power BI semantic models and dashboards that serve supply chain and purchasing stakeholders, including data modeling, DAX measures, and row-level security.
• Develop deep knowledge of supply chain domains (master data, demand planning, supply planning, purchasing, and production) to accurately represent business concepts in data models and reporting.
• Evaluate data and dashboards through the lens of diverse consumers across departments and seniority levels, balancing technical accuracy with usability.
• Leverage knowledge of supply chain architecture to identify data quality risks, surface anomalies, and partner with Master Data Management and/or IT on mitigation strategies.
• Comfortable presenting in front of large groups of various seniority levels.
• Train and support planning team members on dashboard usage and self-service analytics best practices.
• Identify and manage resources and

Skills

Degrees

Industry

Company size