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 - 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 Requirements - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing - Experience owning reporting end-to-end, from pipeline to dashboard - Worked with messy, complex, third-party data - Partnered closely with business teams to uncover meaningful trends and conduct retrospective analyses Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit reporting consumption, identifying discrepancies, redundancies, and inconsistencies. - 60 Days in: Articulated how assigned verticals make money and improved dashboard standardization while executing on ad hoc requests. - 90 Days in: Executed dashboard standardization and established working relationships with Yield, Paid Media, and Account Management. - 6 Months in: Built trust with the business team through education and delivered proactive retrospective analyses. - Year 1: Became a trusted technical owner for assigned verticals, completing reporting standardization and consistently delivering retrospective analysis. Competencies - Analytical Rigor - Reporting Ownership - Business Acumen - Communication - Proactive Ownership - Collaboration - Curiosity & Growth Benefits - Base salary set according to market rates for the nearest major metro - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits - Future increases based on company and personal performance

Senior Data Analyst, Operational Intelligence Location: Remote or Hybrid Team: Operational Intelligence Company: Quickbase - Full Time - IT - 610295 Job Description: Overview Quickbase is seeking a Senior Data Analyst, Operational Intelligence to strengthen our self-service analytics capabilities across the organization. This role sits at the intersection of data analysis, business intelligence, and operational partnership, with a strong focus on surfacing trusted, high-quality insights that empower Product and Customer Success teams to make faster, more confident decisions. You will work closely with our Product and Customer Success organizations as a senior analytics partner, developing a deep understanding of how those teams operate and translating complex business questions into clear, reliable reporting and analysis. The ideal candidate brings strong SQL and data modeling skills, experience supporting operational teams and recurring business cadences, and the ability to communicate data clearly to both technical and non-technical stakeholders. What You'll Do - Develop and maintain dashboards and reports that track core KPIs across product adoption, customer health, retention, and operational performance - Serve as the primary senior analytics partner for Product and Customer Success teams, translating business questions into reliable, actionable insights - Design and maintain data models in Snowflake that support self-service analytics and recurring reporting needs - Contribute to the governed data layer by authoring dbt models, tests, and documentation via pull requests - Define and document key business metrics to ensure consistency and trust across reporting - Enable self-service analytics by building reusable datasets, standardized metric definitions, and clear documentation that allow stakeholders to answer their own questions - Support operating mechanisms including business reviews, executive reporting cycles, and recurring operational processes where data accuracy and timeliness are critical - Ensure data quality, consistency, and performance across analytics workflows - Collaborate with Data Engineering on modeling standards and architectural best practices - Contribute to a governed semantic layer in Snowflake that serves as the trusted data foundation for self-service analytics and AI-driven tools - Partner with the Applied AI team to align on data requirements for automation workflows, ensuring Workato and Snowflake Cortex outputs are grounded in consistent, well-documented metric definitions What You Bring - 7+ years of experience in data analytics, business intelligence, or operations analytics roles - Advanced SQL skills with a strong understanding of data modeling concepts - Solid hands-on experience with dbt, including building models, tests, and documentation - Experience with Snowflake or a comparable cloud data platform - Demonstrated experience supporting Product, Customer Success, or similar operational teams at a senior level - Strong understanding of how operational teams consume and act on data, including experience supporting business reviews and recurring reporting cadences - Strong experience with Power BI or a comparable BI and data visualization tool, including dashboard development and semantic modeling - Comfortable working independently on complex, ambiguous problems and driving them to a clear, trusted solution - Ability to translate complex data into clear, actionable insights for both technical and non-technical audiences - Strong communication and collaboration skills, including the ability to engage credibly with senior stakeholders Nice to Have - Experience with Snowflake Cortex, semantic modeling tools, or AI-driven analytics platforms - Familiarity with additional BI tools such as Looker, Tableau, or Sigma - Exposure to data governance and data quality frameworks - Experience working in a SaaS or product-led organization - Comfort informally mentoring or sharing knowledge with peers on the team Why This Role Matters This role is central to making trusted, high-quality data accessible to the people who need it most. As a senior analytics partner embedded in the Operational Intelligence team, you will directly enable Product and Customer Success teams to make faster, more informed decisions by delivering reliable reporting, well-governed data models, and self-service capabilities that reduce their dependence on ad hoc analysis requests. What Success Looks Like - Product and Customer Success teams can independently answer key business questions using trusted, well-documented data - Core KPIs are consistently delivered through reliable, well-governed dashboards that senior leadership trusts - Key metrics are clearly defined, documented, and consistent across reporting - Operating mechanisms including business reviews and executive reporting cycles are supported with accurate, timely data - Self-service analytics adoption grows meaningfully across the organization - Contributions to the central dbt model are well-documented, tested, and aligned with enterprise standards At Quickbase, we believe in pay transparency and are committed to equitable pay practices. The compensation range for this role is $84,000-$132,000 per year. The exact compensation offered will be based on experience, skills, and alignment with internal equity. Beyond salary, employees receive bonus/commission eligibility and access to a full benefits package including health insurance, 401k, paid time off, etc.

Title: Provider Audit Data Analyst - Remote Location: Plymouth United States Requisition number: 2366306 Job category: Business & Data Analytics Primary location: Plymouth, MN Overtime status: Exempt Travel: No Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Data Analysis and Modeling: - Apply advanced statistical and mathematical techniques to analyze complex datasets - Generate actionable insights and recommendations based on data analysis - Database Management: - Design and implement efficient and scalable database architectures - Optimize database performance to ensure fast and reliable data retrieval - Develop and maintain data models, data dictionaries, and other documentation - Troubleshoot and resolve database-related issues - Data Extraction and Transformation: - Extract, clean, and transform data from various sources for analysis - Ensure data integrity and quality through rigorous validation and testing - Data Visualization and Reporting: - Create visually appealing and informative dashboards and reports - Present findings and insights to stakeholders in a clear and concise manner - Continuous Learning and Improvement: - Stay up to date with the latest data analysis techniques and tools - Identify opportunities to improve data analysis processes and methodologies - Actively participate in knowledge sharing and mentoring within the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 3+ years of experience in SQL and experience with relational database management systems (e.g., MySQL, Oracle, SQL Server) - Solid experience with Root Cause Analysis & Data Quality Preferred Qualifications: - Coding skills, e.g., Python, R - Proven excellent problem-solving and critical thinking skills - Proven solid communication and presentation skills to effectively convey complex data analysis findings to both technical and non-technical stakeholders - Proven ability to work independently and collaboratively in a fast-paced, deadline-driven environment - Ability to be detail-oriented with a focus on accuracy and data integrity - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $60,200 - $107,400 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Currently seeking a Data Analyst to join our team. • Work on IT and business projects. • Collaborate with business stakeholders to build dashboards and analytical solutions.