About Carrot: Carrot is a global, comprehensive fertility and family care platform, supporting members and their families through many of life's most memorable moments. Trusted by many of the world’s leading multinational employers, health plans, and health systems, Carrot’s proven clinical program delivers exceptional outcomes and experiences for members and industry-leading cost-savings for employers. Its award-winning products serve all populations, from preconception care through pregnancy, IVF, male factor infertility, adoption, gestational carrier care, and menopause. Carrot offers localized support in over 170 countries and 25 languages. With a comprehensive program that prioritizes clinical excellence and human-centered care, Carrot supports members and their families through many of the most meaningful moments of their lives. Learn more at get-carrot.com . The Role Carrot is seeking a Revenue Operations Sr. Analyst to support the analytics, reporting, and insights that power our GTM engine across Employer, Health Plan, and Strategic Partnership channels. You will help turn data from Salesforce and our BI stack into clear, actionable views that improve forecast accuracy, strengthen pipeline health, and drive predictable, efficient revenue performance. This role owns and evolves the Revenue Operations reporting ecosystem across Salesforce and supporting BI tools (e.g., Tableau, Airtable), ensuring dashboards are intuitive, trusted, and directly aligned to revenue-critical decisions. You will design and maintain scalable, end-to-end reporting across Marketing, Sales, and Customer segments—providing clear visibility into pipeline, bookings, forecast accuracy, and performance by segment, product, and channel. You will also deliver recurring executive and team-level reporting (weekly, monthly, quarterly), ensuring data accuracy, consistency, and actionable insights. You will partner closely with GTM and RevOps stakeholders to translate ambiguous business questions into clear analytical frameworks, standardized metrics, and reporting views. This includes analyzing pipeline health, conversion rates, win rates, sales cycle trends, expansion, and churn—synthesizing findings into structured insights and practical recommendations. In addition to recurring reporting, you will support high-impact ad hoc analyses across areas such as segmentation, territory performance, renewals, product uptake, and campaign effectiveness. A key focus of the role is reporting excellence and scalability. You will prioritize dashboards that highlight trends, drivers, and decision-enabling signals over activity metrics, continuously refining metric definitions, data models, and visualization standards to improve clarity and adoption. You will proactively identify gaps or inefficiencies in existing reporting, automate recurring analyses, reduce dashboard sprawl, and leverage AI-enabled tools to enhance scalability and reduce manual effort. As a steward of reporting integrity, you will ensure consistency in definitions, calculations, and historical comparisons while documenting metrics and dashboard intent to support self-service and long-term sustainability. In partnership with Salesforce Business Analysts and RevOps peers, you will help monitor data hygiene and uphold reporting governance standards. Finally, you will serve as a trusted analytics partner to GTM and Operations teams—supporting stakeholder enablement, clarifying metric definitions, and representing RevOps analytics in cross-functional initiatives to ensure reporting dependencies and data requirements are aligned from the outset. The Team Reporting to the (Sr.) Director of Revenue Operations, you will partner closely with team members in Sales, Customer Success, Consultant Relations, Marketing, FP&A, and Operations to maintain core GTM reports, build visualizations (e.g., dashboards and other interfaces), and support ad-hoc analyses that inform day‑to‑day decisions and longer‑term planning. Minimum Qualifications: 4-6 years of experience in Revenue Operations, Sales Operations, Business Operations, Analytics, or FP&A, ideally supporting B2B SaaS or technology‑enabled GTM teams. Advanced knowledge of SQL and the ability to write efficient and complex SQL queries. Basic experience with SQL-based data warehousing (e.g., performance tuning, working with large fact tables) and a demonstrated interest in deepening technical analytics skills over time. Expertise with data visualization software (e.g., Tableau) and a track record of building clear, maintainable dashboards and reports for business stakeholders. Experience using dbt to model, test, and document data in a scalable, well‑structured way. Comfort working with version control systems for analytics work (Git preferred). Experience with statistics concepts and analysis (e.g., hypothesis testing, regression) and applying them to real business problems. Experience with best practices surrounding data governance, data modeling, and data quality, including partnering with technical teams and data owners to improve reliability over time. Strong Excel/Google Sheets skills, with experience manipulating and analyzing data sets using filters, pivot tables, lookup functions, and basic modeling techniques. Hands-on experience with Salesforce, including comfort building and modifying standard reports and dashboards, and navigating core GTM objects (Accounts, Contacts, Opportunities, Activities). The ability to interpret complex data and communicate results to non‑technical audiences, using clear narratives, visuals, and levels of detail appropriate to the audience. Demonstrated ability to manage multiple tasks and deadlines, stay organized in a fast‑paced environment, and deliver reliably even as priorities evolve. Preferred Qualification: Exposure to incentive compensation (e.g., supporting attainment reporting, basic variable pay calculations, or working with tools like CaptivateIQ). Familiarity with GTM tooling ecosystems such as Gong, Outreach/SalesLoft, ZoomInfo, or Sales Navigator. Experience in healthcare, benefits, or other regulated environments, or working with enterprise customers and complex buying cycles. Compensation: Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $88,000- $105,000. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience. Fraud and Security Notice: Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com Why Carrot? Carrot has received national and international recognition for its pioneering work, including Fast Company's Most Innovative Companies and World Changing Ideas, Inc. Power Partners, and Modern Healthcare’s Innovators. Carrot’s global workforce has been acknowledged with several accolades, including Fortune’s Best Workplaces in Healthcare, Great Place to Work, and Age-Friendly Employer certifications. Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation, including MSNBC, The Economist, Bloomberg, The Wall Street Journal, CNBC, National Public Radio, Harvard Business Review, and more. Learn more at carrotfertility.com.

We’re looking for a Sales Compensation Analyst to ensure producers receive accurate and timely commission payments. In this role, you’ll handle compensation inquiries, analyze data, and play an active role in improving our processes. Answer incoming calls and assist with questions about Compensation payments and processes. Calculate and process commission payments, ensuring accuracy and compliance with policies. Maintain and update compensation records, including rates, formulas, and program changes. Review and reconcile commission accounts, identifying and resolving discrepancies. Analyze compensation programs, suggest improvements, and collaborate with internal teams to enhance processes. Identify opportunities for automation, efficiency, and continuous improvement in compensation workflows.

The Fleet Analyst II is a key role of the fleet planning and analysis function with the goal of supporting the management of the Company’s fleet assets and effectively deploying capital to support the needs of the Company. Reports to the Director of FP&A (financial planning and analysis). The position provides detailed quantifiable fleet information extracted from multiple platforms that drive and support goals and initiatives of MasTec West fleet. Champion internal and external projects through individual and collective data gathering and metrics that deliver value-added support to fleet, finance, data analytics, operations, and other stakeholders. Analyze fleet economics in support of acquiring, retiring, and other fleet investments. Interact with MasTec West operations leadership to ensure training, comprehension, and utilization of fleet metrics and reporting. Generate fleet-specific financial data models requiring complex numerical formulas. Monitor construction industry trends to distill implications for the Company’s fleet. Serve as a subject matter expert in fleet information management systems and enterprise resource planning platforms. Work independently on multiple concurrent projects with limited direction. Extract, interpret, and present quantifiable fleet information. Participate in daily meetings with the asset management team to review initiatives posture, goals status, and high impact trend analyses. Develop, implement, and integrate API (application program interface) for current and future fleet platforms. Assess and identify continuous improvement opportunities of all fleet data systems and processes. Exhibit high skill level and performance in execution of fleet deliverables and customer service. Provide relevant, inclusive, and actionable financial information to leaders. Assist fleet leadership in day-to-day interactions with business units, work groups, and vendors for ad-hoc analyses and projects. Integrate platforms and programs of supported subsidiary assets. Build and manage asset-related Power BI reports for segment level reporting (utilization, cost, GPS data, fuel spend, compliance, safety, license and titling, procurement and disposal, CAPEX spend vs approved) under the direction of the Director of Performance Management.

Seek’s Data Science team is central to our mission making advanced predictive analytics and machine learning applications accessible to businesses of all sizes. Your work will involve exploring customer and partner data sets, developing predictive models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring that the insights generated are accessible through Seek’s app store. Analyze large (and sparse) datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms. Construct and maintain data processing workflows, ensuring efficient mapping and transformation of client source data. Perform data enrichment by sourcing additional datasets and integrating them with client data to enhance analytical depth and accuracy. Develop complex SQL queries and Python scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance. Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our clients’ decision-making processes. Create and maintain interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information. Work closely with analytics engineers, other data scientists and business stakeholders to ensure that ML models are aligned with business goals and technical requirements. Write clear and comprehensive documentation for ML models, pipelines, and workflows to facilitate collaboration and reproducibility.