Jobs - Jobs4Americans

[https://openly.com/hs-fs/hubfs/2026BPTW_GeneralBadge_FullColor.png?width=400&height=458&name=2026BPTW_GeneralBadge_FullColor.png] READY FOR YOUR NEXT CHAPTER? Build the future of insurance with a team that values simplicity, empathy, and innovation. Openly is redefining the insurance experience, replacing decades of complexity with clarity and modern technology. We’re the insurance provider people trust and the partner independent agents choose. WHAT SETS US APART - Technology that delivers: We use data to modernize underwriting and deliver tailored insurance solutions that fit how people actually live. - Superior protection: Highly customizable coverage designed around what policyholders need. - Effortless from quote to claim: Simple, intuitive workflows for independent agents and fast, human-centered care for policyholders. OUR CORE VALUES Our people are as important as our product. Collaboration, open communication, and work-life balance aren't just nice-to-haves, they’re at the core of how we operate. We look for people driven by integrity, empathy, teamwork, curiosity, and urgency, because a great company starts with the right people. DIVERSITY, EQUITY, & INCLUSION We embrace individuality because everyone deserves to work somewhere they belong. We’re committed to building an inclusive culture that spans race, gender, age, religion, identity, and background. JOB DETAILS Reporting directly to the Senior Director of Operational Analytics & Reporting, this role leverages advanced analytics to measure the success of insurance product countrywide programs while serving as a senior technical resource across the analytics team for more complex business function analysis and ad hoc projects. As a subject matter expert in data visualization, robust reporting, and analytical deep dives, this role will play a key part in: - Translating complex data into actionable insights through advanced data visualization and intuitive dashboards leveraging efficient data aggregation. - Understanding the expected changes and corresponding impacts of various insurance product initiatives. - Conducting analytical deep dives to uncover root causes, inform the setup of analytical frameworks, and enable stakeholders to quickly grasp results and market trends. - Proactively identifying systemic process and data gaps across the insurance lifecycle, moving beyond surface-level fixes to define the root cause of operational friction. - Identifying opportunities to enhance both new initiatives and existing programs. This role will also be responsible for evaluating the ongoing health of various metrics for the current book of business, developing comprehensive performance reports, and proactively raising and understanding key drivers of any new trends observed. While this individual will begin with no direct reports, the role is expected to grow into people management of one to two individual contributors, and the individual will serve as a technical leader across the analytics team from the outset. KEY RESPONSIBILITIES - Serve as a connective bridge with the Insurance Product org, linking the technical detail of the analysis to the broader operational and financial analytics the team is responsible for, so stakeholders and senior leadership can see how the work translates into business and financial context. - Closely work and collaborate with the Insurance Product team to align on analytical requirements and measures of success for both new and ongoing initiatives. - Partner closely with the other analytics function teams—including Sales & Marketing, Claims, and Service—as the advanced-analytics resource on the more complex, specialized projects that arise within their functions. - Build out comprehensive monitoring frameworks that provide insights around current results and trends. Leverage these findings to provide recommendations on both product and strategy that will have positive impacts on growth, retention, and profitability. - Independently conduct analysis of current countrywide programs to understand and quantify the success of the program while identifying areas of opportunity for future enhancements related to growth and profitability. - Architect end-to-end analytical frameworks for complex, multi-faceted business issues, including the development and refinement of predictive models where appropriate. - Proactively identify systemic process and data gaps across the insurance lifecycle, mapping out the ripple effects and trade-offs of proposed solutions. - Consistently demonstrate curiosity by proposing new ideas for analysis and leveraging the resulting insights to show alignment with or opportunities within current and future strategies. - Conduct competitor research using various tools and sources to keep a proactive pulse on industry results and trends that could inform internal decisions. - Serve as a technical leader across the analytics team, providing guidance and raising the analytical floor through collaboration, using advanced influencing and storytelling skills to shape business decisions. REQUIREMENTS - A minimum of 10 years of experience & background in insurance products, preferably personal lines property and/or auto insurance products. - Advanced analytical thinking and comfort in evaluating the success of various countrywide insurance product programs against targets. - Expert-level mastery of SQL. - Experience building and refining predictive models in Python or R. - Demonstrated track record of identifying structural process gaps, proposing solutions and influencing business decisions. - Experience gathering requirements and building dashboards using PowerBI, Tableau, or LookerStudio. - Able to conduct cost-benefit analyses to inform strategic decisions. - Strong organizational and time management skills, capable of working with high autonomy on complex initiatives while meeting short and long-term deadlines. - Exceptional interpersonal skills with proven ability to build rapport and collaborate effectively with stakeholders at all levels. - CPCU or equivalent insurance designation and/or passing of actuarial exams preferred but not required. Applicants must be currently authorized to work in the United States on a full‑time basis. This position is not eligible for employer visa sponsorship now or in the future. PERKS & BENEFITS Great work happens when people feel supported. Our benefits are designed to care for you and your family at every stage of life. - Remote-first culture: We supported remote work long before it became standard, and we remain dedicated to a flexible work model. - Competitive pay & equity: Top-tier base salary paired with ownership in Openly’s growth. - Comprehensive health coverage: Medical, dental, and vision plans tailored to you and your family. - Life & disability insurance: Full coverage including voluntary supplemental options. - Paid parental leave: Up to 8 weeks (320 hours) of paid parental leave for eligible employees (with additional disability coverage available for birthing parents). - 401(k) company contribution: Openly contributes 3% of your gross income, regardless of whether you make personal contributions. - Home office setup: A $1,500 upfront allowance to build your ideal remote workspace, plus a $75 / month internet stipend. - Professional development: $2,000 annually to invest in courses, conferences, or resources to help you grow. - "Be Well" program: A $50 / month stipend dedicated to your personal health and wellness. - Volunteer hours & referral rewards: Paid time off to give back to your community, plus generous financial rewards for referring great talent. Note: Select roles may also be eligible for cash incentives or sales commissions. Eligibility for all compensation and benefits is governed by applicable plan terms. OUR HIRING COMMITMENT Our process is designed to be transparent, respectful, and human. At every step, you’ll get to showcase your strengths, ask tough questions, and find out if Openly is the right fit. U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer and currently residing in the US will be considered. Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities under applicable law. We strive to provide an exceptional applicant and candidate journey when you engage with us. In an effort to respond to applicants in a timely manner, we leverage AI to organize applications and resumes based on required and applicable skills and experience. To allow our applicants to drive their initial interview experience with us, we may leverage an AI-supported scheduling tool so you can choose when to meet with our team. While AI assists with efficiency, all hiring decisions are made by our team members. Rest assured, your data is protected according to privacy laws and company policies. Contact our recruitment team with any questions about our AI-assisted hiring process.

Listed by Openly for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

6 days ago

Actuarial Analyst II (Remote, US)

Openly ·

Pay

$76k–128k

Setting

Remote

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Listed by Openly for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

12 days ago

Operational Insights Specialist

DailyPay · Minneapolis, Minnesota, United States

Pay

$86k–131k

Setting

Remote

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About Us: DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. http://www.dailypay.com/press ***THIS ROLE WILL BE HYBRID IN OUR NEW YORK CITY OR MINNEAPOLIS OFFICE*** THE ROLE: The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department. HOW YOU WILL MAKE AN IMPACT: - AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics - Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends - Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake - Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection - Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations - Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices - Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks - Operational Reporting: Prepare and present routine trend analyses and respond promptly to ad hoc data requests from leadership to support operational decision-making WHAT YOU BRING TO THE TEAM: - Relevant Experience: 2-3 years of experience in data analytics, business intelligence, or operational analysis, with active exposure to AI platforms or LLM workflows - AI & Prompting Expertise: Practical experience utilizing top-tier AI models (e.g., Anthropic Claude, Google Gemini, OpenAI) and low-code/API automation tools for data processing - Domain Knowledge: Strong understanding of Contact Center and Customer Experience (CX) metrics, including AHT, CSAT, FCR, QA scores, and speech analytics platforms - Technical Proficiency: Proficiency in SQL and data visualization tools (e.g., Tableau, Snowflake), with familiarity using scripting languages (Python or R) for data manipulation - Analytical Storytelling: Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations for departmental stakeholders - Educational Foundation: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field WHAT WE OFFER: - Exceptional health, vision, and dental care - Opportunity for equity ownership - Life and AD&D, short- and long-term disability - Employee Assistance Program - Employee Resource Groups - Fun company outings and events - Unlimited PTO - 401K with company match High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making. In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results. We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here. If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable. DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.

Listed by DailyPay for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

15 days ago

Data Analyst

Cherry · United States

Pay

$145k–170k

Setting

Remote

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DATA ANALYST REPORTS TO: SENIOR MANAGER, REVENUE ANALYTICS LOCATION: REMOTE (US-BASED) About Cherry Cherry is a fast-growing fintech company revolutionizing how patients pay for care. Founded in 2019 by Stanford entrepreneurs (with a prior successful exit), Cherry has built the simplest, fastest, and most inclusive Buy Now, Pay Later solution for healthcare services—from dental and medical aesthetics to veterinary care. By making treatments more financially accessible, Cherry empowers medical practices to serve more patients. We’re backed by leading investors including Kleiner Perkins and DCM, and we're just getting started. About the Role We are hiring a Senior Data Analyst to own Sales Analytics across Cherry. You will sit at the center of our go to market engine and turn raw data into the insights that shape strategy, headcount, territories, compensation, and how we deploy our sales team every day. You will work across Snowflake, dbt, Metabase, Tableau, and Hex to connect the dots between top of funnel activity, pipeline quality, forecast accuracy, and actual revenue. Your work will shape how we set targets, how we deploy our teams, how we understand risk, and how we measure the health of every practice in our portfolio. This is a hands-on role for someone who cares about impact. You will go deep on raw data, build models, own core metrics, and work directly with senior operators who rely on your insights to steer the business. Responsibilities - Strategic and Predictive Initiatives - Design and maintain predictive models that help the company anticipate revenue outcomes, retention patterns, and practice behavior. - Create frameworks that score or segment accounts based on potential, risk, or lifecycle signals. - Develop analytical tools that improve how we allocate resources, prioritize accounts, or identify emerging trends. - Incorporate new data sources or enrichment methods to strengthen our understanding of the market and our customer base. - Lead cross functional efforts to translate analytical findings into changes in process, priorities, or go to market strategy. - Drive long horizon analytics work that raises the accuracy, reliability, and scale of our decision making over time. - Performance and Growth Analytics - Own core revenue KPIs, operating results, and weekly performance reporting. - Build and maintain dashboards for quota, attainment, pipeline health, retention, and other key metrics. - Calculate incentive compensation for revenue teams on a monthly and quarterly basis. - Support quarterly planning with quota, capacity, coverage, and segmentation inputs. - Conduct deep dives on pipeline, forecast accuracy, conversion rates, churn drivers, and competitive performance. - Run segment and industry analysis to surface growth opportunities or performance gaps. - Perform root cause analysis when key metrics shift unexpectedly. - Provide clear, concise insights for leadership reviews, quarterly planning, and forecast discussions. - Data Modeling and Infrastructure - Build and maintain clean, reliable data models in dbt. - Develop metric definitions, documentation, and logic that keep reporting consistent. - Improve data quality by identifying inconsistencies, missing fields, or model issues. - Automate repetitive reporting through scalable pipelines and models. - Maintain the integrity of our data across our platforms. - Storytelling and Influence - Translate complex data into simple, compelling narratives for senior leaders. - Communicate technical findings and concepts to non-technical audiences. - Build visuals and written insights that drive clarity and decision-making. - Elevate the analytics function by setting a high bar for communication, documentation, and analytical rigor. Qualifications - 2-3+ years of experience in analytics, preferably supporting Sales, RevOps, CS, or lifecycle analytics. - Bachelor’s degree in a STEM field with strong academic performance. - Strong SQL skills and experience working in a warehouse environment. - Experience with Tableau, Metabase, or similar BI tools. - experience using AI tools like Claude or Cursor in your analytics work - Ability to independently translate loose questions into structured analysis. - Strong communication skills with a focus on clarity and directness. - Ability to balance recurring operational work with long-term analytical initiatives. - Comfortable operating in a fast-paced, high-growth environment. - Exposure to Python / Python experience preferred

Listed by Cherry for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

19 days ago

Head of Applied Machine Learning - Application Fraud

SentiLink · United States

Pay

$210k–260k

Setting

Remote

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SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. ROLE: SentiLink builds the fraud detection and identity verification models much of the US financial system runs on. As Head of Applied ML, you own a major ML domain end to end. You'll lead a team of 4 applied ML scientists, 6 by the end of 2026, all experienced and technically deep enough to challenge you daily. This is a people management role that stays close to the work. Technical credibility is non-negotiable: you'll review PRs, push on modeling decisions, and unblock the team. Data science drives product decisions here, and we expect you to become a strategic leader in both the product and ML domains you own. We use AI across all of our work, are exploring where it belongs in the products themselves, and hold a hard line on AI safety and data governance. Technologies: Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling. RESPONSIBILITIES: - Directly manage a team of applied ML scientists, 4 today and growing to 6 by the end of 2026, and set the engineering and modeling practices they work by. - Own strategy and execution for your applied ML domain: roadmap, priorities, resourcing, and results. - Act as a technical mentor who can dive deep and give specific, useful direction. Guide modeling and architecture decisions, review PRs, and stay current on the codebase and production systems. - Partner with senior leadership, Product, Engineering, and Risk to set priorities and deliver on aggressive timelines. - Represent your domain in product strategy discussions and help shape where those products go next. - Own SentiLink's fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration. - Research emerging fraud patterns, build new ML capabilities for identity verification and financial risk, and design analyses that inform product and business decisions. - Drive how the team uses AI in its own work, keep pushing the boundary on what that unlocks, and help define where AI belongs in our products. REQUIREMENTS: - 10+ years of industry experience applying machine learning or statistics to real-world problems, or 7+ years with a relevant PhD, including 6+ years directly managing machine learning or data science teams across two companies or more. Startup experience strongly preferred. - Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains. Strongly desired, but not strictly required. - Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline. - Demonstrated success developing and deploying production machine learning models, plus experience writing production-quality Python code and tests. - Strong practical ML and applied statistics knowledge: able to scope solutions quickly with standard tooling and go deep where it pays off. - Very strong end to end, with a track record of owning a technical domain and driving it to measurable business impact: planning, defining success criteria, getting buy-in, building the solution, and delivering it, whether in production, in a deck, or as strategy. - Fluent with modern LLMs and AI-assisted development workflows, and opinionated about where they help and where they don't. Sound judgment when working with sensitive data under real information security and data governance constraints. - Excellent communicator, including with senior leadership and cross-functional stakeholders. Detail oriented and thoughtful, someone we can rely on to make business-changing decisions while thriving on varied, open-ended, high-impact problems. - Candidates must be legally authorized to work in the United States and must live in the United States. COMPENSATION: $210,000-$260,000/year + equity + benefits PERKS: - Employer paid group health insurance for you and your dependents - 401(k) plan with employer match (or equivalent for non US-based roles) - Flexible paid time off - Regular company-wide in-person events - Home office stipend, and more! CORPORATE VALUES: - Follow Through - Deep Understanding - Whatever It Takes - Do Something Smart

Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.

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