Full-Time Data Analyst

• Create and maintain reports that are accurate and high quality at all times
• Anticipate data accuracy and availability issues, and solve in advance
• Work collaboratively with product and engineering stakeholders to design, test, and configure reporting
• Oversee and analyze outgoing reports to partners, and build solutions for clients to consume data
• Partner closely with Program Delivery Product Managers to gather partner data requirements, guide format and delivery method selection, and translate business needs into technical specifications
• Serve as the primary subject matter expert for Sure's standard partner data package, report structures, data dictionaries, delivery cadences, and security protocols
• Monitor data delivery jobs, perform data quality audits and validation, and coordinate with Data Engineering and Grapefruit Engineering teams to troubleshoot issues and optimize data pipelines
• Maintain comprehensive documentation of all partner data configurations, delivery schedules, technical requirements, and continuously improve data delivery processes to enhance reliability and partner satisfaction
• Support custom reporting requests by evaluating feasibility and coordinating implementation while proactively communicating data delivery status, issues, and risks to stakeholders

• Degree in Mathematics, Economics, Finance, Accounting or Computer Science
• Experience performing statistical analysis
• Strong proficiency with SQL for data querying, validation, and analysis is required
• Experience in data analytics, business intelligence, or data operations (SaaS/B2B experience preferred)
• Experience with Apache Spark, ideally PySpark is a plus
• Experience working with data visualization and reporting tools such as Looker, Tableau, or Metabase.
• Self-starter attitude and able to work independently as well as in a team environment.
• Proven track record of managing multiple data deliverables simultaneously with competing priorities
• Exceptional attention to detail and commitment to data accuracy and quality
• Excellent English communication skills, verbal and written

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