GlobalSource is a niche provider of IT resources. Our client is a leader in the Smart Home industry. They are seeking a Senior Data Product Analyst to join their team and impact their growing organization. Please see below for additional details and contact Heidi with any questions at

Senior Data Product Analyst

Full-time | Hybrid

Summary: We are a leader in access solutions, offering innovative products such as cameras, locks, card readers, garage door openers, and gates, all powered by our digital ecosystem. We are a leader in the Smart Home industry with one of the largest IoT install bases. We are seeking a dynamic individual to join our Decision Intelligence Group (DIG). This hybrid role combines next-gen Business Intelligence (BI) analysis and Analytics Engineering to develop data-driven solutions. The ideal candidate will work closely with business partners to understand their challenges, ensure the accessibility of data, and facilitate informed decision-making.

Essential Duties and Responsibilities:

• Act as the data product subject matter expert, collaborating with business leaders, data engineers, data scientists, software engineers, and other developers.
• Liaise with business partners to understand data needs, gather requirements, and translate business problems into technical solutions.
• Develop and implement data models, tables, and dashboards to help the business interpret data, derive insights, and make informed decisions.
• Design flexible and comprehensive dashboards for quick data access and interpretation.
• Promote the adoption of data solutions across multiple teams.
• Create training materials, conduct webinars, and provide hands-on training for business analysts.
• Conduct independent research on product experiences and data, providing findings and recommendations.
• Explore and onboard new third-party data sources to enhance business performance.
• Adopt best practices for building analytical insights, including data integrity, testing, design, analysis, validation, documentation, and training.
• Provide mentorship and guidance to team members on best practices and creating business value.
• Ensure compliance with health and safety guidelines.
• Maintain confidentiality to protect the organization's reputation.
• Maintain professional and technical knowledge through continued education and networking.
• Contribute to team efforts by participating in projects as needed.
• Build STTMs and technical resource documents.
• Profile new datasets/source systems.
• Engage with internal application teams at a technical level.
• Work with various data formats, e.g., querying/flattening semi-structured data like JSON.

Experience:

• 3+ years of experience in Analytics/Business Intelligence, leading projects, and building actionable, data-based solutions in a cloud environment.
• Advanced experience with data visualization platforms such as Power BI, Tableau, or Qlik.
• Intermediate experience with Python 3, focusing on Pandas, Polars, or Spark for data analytics (similar R experience acceptable).
• Experience creating self-service analytics within Azure Cloud architecture, PowerBI, and/or Databricks.
• Experience working with large data volumes (structured and unstructured).
• Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms like Tealium.
• Experience building web-based data visualizations.

Knowledge, Skills, and Abilities:

• Strong proficiency in SQL.
• Strong understanding of data warehouse/data modeling concepts and procedures.
• Strong business acumen to help partners identify their true data needs.
• Excellent communication skills for explaining technical concepts to non-technical stakeholders.
• Ability to lead projects independently and collaboratively.
• Ability to develop, document, and deliver end-user materials such as training or project artifacts.
• Working knowledge of Azure cloud-based architecture and PowerBI.
• Proficiency with Microsoft Office Suite.
• Familiarity with project management/tracking tools such as Jira.
• Experience with source control tools like BitBucket.
• Experience working with a software/technology organization.

Education/Certifications:

• Master’s degree in a related field.
• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field.
• Power BI Development and Design-related certification.