Welcome to Pioneer Square Brands, a dynamic and innovative company at the forefront of the consumer goods industry. Committed to delivering high-quality products, we take pride in our dedication to excellence, creativity, and customer satisfaction. With a diverse portfolio featuring renowned brands (Brenthaven, Gumdrop, and VAULT), our mobile technology accessories ensure our customers achieve successful technology deployments. Our team comprises passionate individuals united by a shared vision to shape the future of our industry. If you are seeking a challenging and rewarding position in a fast-paced environment where your ideas are highly valued, join us at Pioneer Square Brands and become an integral part of our exciting journey.
Our Core Purpose: We ensure technology works so that people can focus on what matters
Our Core Values:
Genuine and Respectful
Pride in Everything We Do
Excellence through Innovation
Obsessed with Customer Success
Pioneer Square Brands has a global footprint with office locations in High Point, North Carolina, and Manila, Philippines.
We are actively looking for a highly motivated and energetic professional with a positive attitude who desires to be part of our growing team. Competitive salaries and benefits, including profit sharing, await the successful candidate.
Title: Data Analytics Consultant
Job Responsibilities:
Collaborate with the data team and provide support in areas including, but not limited to, data quality and validation, QA automation, documentation, and reporting to ensure smooth transition from DOMO to Power BI
Own the end-to-end development of analytics solutions, from building and maintaining semantic data models to designing dashboard interfaces and managing deployment to production
Maintain and deliver recurring reports and dashboards to support business operations
Other relevant tasks that may be assigned
Qualifications:
At least 2-3 years of professional experience in data analytics
Strong experience with Power BI, including building dashboards, data models, and semantic models (star schemas, relationships, DAX fundamentals).
Highly proficient in SQL (e.g.,T‑SQL) for complex data modeling, semantic model design, data transformations, and analytical queries.
Intermediate experience with Python for light data manipulation, automation, or QA scripting.
Working knowledge of QA frameworks and testing tools (e.g., pytest, unit test, Selenium, or similar), with the ability to design basic test structures when needed.
Excellent problem-solving and critical thinking skills
Strong attention to detail, communication, and presentation skills
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