• Join our team and experience how we lead with passion, positivity, and accountability to deliver the Right Talent. Right Now. • Create an environment where you can think big, have fun and truly make a difference.

Role Description The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Fully Remote The Medicaid Business Intelligence Engineer describes the tools, technologies, applications, and practices used to collect, develop, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Responsibilities include: - Supporting development of data and creation of processes, reporting, and visualizations for all Humana Healthy Horizons Medicaid Risk Adjustment, prospective programs, and interoperability. - Taking initiative to create innovative solutions to complex business problems. - Managing Big Data and data quality. - Understanding department, segment, and organizational strategy and operating objectives, including their linkages to related areas. - Making decisions regarding own work methods, occasionally in ambiguous situations, and requiring minimal direction while receiving guidance where needed. - Following established guidelines/procedures. Qualifications - 2+ years of experience in Python or Pyspark - 2+ years of experience in Jupyter Notebook environment - 2+ years of experience in Databricks Platform - 2+ years of experience in Microsoft PowerBI or other data visualization software - 2+ years of experience working with Big Data and performing root cause analysis - 2+ years of experience in business ownership of data processes - In-depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc. Requirements - Experience in Managed Care - Experience in Medicaid - Experience in risk adjustment - Experience with data mining and predictive modeling techniques - Ability to use data to drive business outcomes and decisions - Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field Benefits - Medical, dental, and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance - Many other opportunities Additional Information - This role is not eligible for work visa sponsorship. - Self-provided internet service must meet a minimum download speed of 25 Mbps and an upload speed of 10 Mbps. - Employees in certain states will be provided a bi-weekly payment for their internet expense. - Humana will provide telephone equipment appropriate for the position/job. - Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. - Occasional travel to Humana's offices for training or meetings may be required. - Scheduled Weekly Hours: 40 - Pay Range: $66,800 - $91,100 per year - This job is eligible for a bonus incentive plan based on company and/or individual performance.

• Design, build, and support data warehousing (Data Vault 2.0) and BI solutions. • Develop, promote, and provide ongoing support for ETL workflows. • Develop and validate sources to target mappings and transformation logic. • Design and maintain data models used for reporting and analytics. • Modify existing reports, extracts, and dashboards as necessary. • Supports data automation, quality, and governance. • Conduct data profiling, data cleansing, and assessing the integrity of data from multiple sources to ensure high quality data. • Support development of Data Dictionaries and Data Taxonomy for product solutions. • Collaborate with infrastructure team to design and implement internal process improvements, greater scalability, optimization of data delivery, and automating manual processes. • Assist in data migration and data ingestion to core systems during active mergers, acquisitions, or other assigned projects. • Create reusable datasets in support of insights and analytics for the organization. • Create and maintain information and data flow diagrams. • Leverage existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. • Help the broader team identify new features and business opportunities through analysis. • Support upgrades, configuration and troubleshooting for business intelligence tools. • Identify development needs to improve and streamline operations. • Drive best practices in code quality & reusability, data integrity, test design, analysis, validation, and documentation. • Follows established BT standards and practices. • Comply with all Federal Regulations as they pertain to your job duties, including BSA.

Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to: - Uncover meaningful trends - Conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance - Challenge the team with insights they aren't currently seeing This is NOT a role for someone who wants to build dashboards and hand them off; it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Qualifications - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing - Strong candidates have owned reporting end-to-end, from pipeline to dashboard - Experience working with messy, complex, third-party data - Ability to partner closely with business teams to uncover meaningful trends and connect data work to decisions Requirements - Expert SQL & Comfortable with Unstructured Complex Data - Reporting Ownership & Data Literacy - Performance Marketing Optimization - Advanced LookML Development (or equivalent in Power BI / Tableau) - Curiosity & Business Depth Benefits - Base salary: $120,000 to $150,000 per year, paid semi-monthly - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Future increases based on company and personal performance Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit reporting consumption and develop a roadmap to standardize reporting. - 60 Days in: Articulate how assigned verticals make money and improve dashboard standardization. - 90 Days in: Execute dashboard standardization and establish working relationships with Yield, Paid Media, and Account Management. - 6 Months in: Build trust with the business team through education and deliver proactive retrospective analyses. - Year 1: Become the trusted technical owner for assigned verticals end-to-end and complete reporting standardization. Competencies - Analytical Rigor - Reporting Ownership - Business Acumen - Communication - Proactive Ownership - Collaboration - Curiosity & Growth