Collaborate with stakeholders across various departments to understand reporting requirements and translate them into meaningful analytics solutions.
Use SQL to extract, analyze, transform, and manipulate data, with a focus on key performance indicators and business metrics.
Design, develop, and maintain scalable data models and curated datasets that support operational reporting and analytics.
Leverage Databricks and cloud-based analytics platforms to develop, maintain, and optimize data transformation and analytics workflows.
Support the development of scalable data architectures, reusable data pipelines, and curated datasets that enable reliable operational reporting and analytics.
Contribute to the design and evolution of data models and analytics solutions that improve the accessibility, reliability, and usability of data across the organization.
Develop and maintain interactive dashboards and reports using Power BI or similar visualization tools to monitor performance and identify trends.
Conduct ad hoc analysis to address business questions and support strategic initiatives.
Advance data quality, accuracy, accessibility, and governance through validation, monitoring, documentation, and continuous improvement practices.
Support and maintain business-critical reporting solutions while identifying opportunities for automation and modernization.
Create and maintain technical and process documentation for datasets, data pipelines, reporting solutions, and business processes.
Evaluate and leverage emerging analytics and AI-enabled technologies to improve data accessibility, accelerate development, and enhance reporting and analytical capabilities.
Provide support and training to end users on accessing and interpreting reports, dashboards, and analytical solutions.
Qualifications
Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Data Analytics, Information Systems, a related field, or equivalent experience.
Business acumen related to benefits, funding, insurance, and/or phone operations.
2+ years of experience in data analysis, reporting, business intelligence, or a related analytics role.
Proficiency in SQL for data extraction, transformation, and manipulation.
Experience working with relational databases and complex datasets.
Strong analytical and problem-solving skills, with the ability to understand and interpret complex data.
Excellent communication and collaboration skills, with the ability to explain technical concepts and effectively engage stakeholders at all levels.
Detail-oriented, with a commitment to producing accurate and reliable reporting and analysis.
Preferred Qualifications
Experience with Databricks or a comparable modern cloud-based analytics platform.
Experience developing and maintaining data models, reporting datasets, data pipelines, and transformation processes.
Familiarity with ETL/ELT processes, data warehousing concepts, dimensional modeling, and data architecture principles.
Experience with Python, Spark, or similar data processing technologies.
Experience with Power BI or similar business intelligence and visualization tools.
Familiarity with AI-enabled productivity, analytics, and development tools and an interest in leveraging emerging technologies to improve efficiency, accelerate analysis, and enhance reporting solutions.
The Application Processes
Stage 1: Online application and recruiter review
Stage 2: Pre-recorded video interview
Stage 3: Live video or in person interview with hiring manager and team
