Role Description Our client is one of the world's largest online community and discussion platforms, connecting millions of users through thousands of interest-based communities. As the platform continues to expand its subscription and professional offerings, data-driven decision-making and growth analytics play a critical role in shaping product strategy and user engagement. We are seeking a Growth Analyst with strong expertise in product analytics, funnel analysis, performance reporting, and business intelligence. In this role, you will own key growth metrics, analyze user acquisition and activation performance, build reporting frameworks, and provide strategic recommendations that influence product and business decisions. CONTRACT: Long-term contractor or FTE COMMITMENT: Full-time (East Coast working hours preferred) LOCATION: 100% Remote from Argentina, Brazil, Chile, Panama or Mexico PROCESS: 3 client interviews (intro, technical, cultural) Responsibilities - Own growth reporting, KPI tracking, and performance measurement across acquisition and activation funnels - Build and maintain dashboards, reports, pacing models, and executive-level reporting - Analyze user acquisition, activation, conversion, and channel performance trends - Define and maintain key funnel metrics and measurement frameworks in partnership with Data Science teams - Conduct deep-dive analyses to identify root causes behind performance changes and growth opportunities - Deliver actionable insights and recommendations to support product and growth strategy - Ensure data quality, reporting accuracy, and metric consistency across systems - Support leadership with forecasting, business reviews, and ad hoc strategic analyses - Translate complex datasets into clear, actionable business recommendations Qualifications - 3+ years of experience in Growth Analytics, Product Analytics, or Business Analytics - Strong SQL skills and experience working with large datasets - Experience analyzing conversion funnels, user journeys, and growth KPIs - Experience building dashboards using Tableau, Looker, Power BI, or similar BI tools - Strong understanding of performance measurement, reporting, and business metrics - Experience applying statistical techniques to analyze trends and business performance - Advanced proficiency with Excel or Google Sheets - Ability to communicate analytical insights to both technical and business stakeholders

• Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage • Independently investigate and resolve complex data quality issues • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly

Role Description The Senior Actuarial Analyst is a high-learning, high-ownership position responsible for working independently to develop subject matter expertise across multiple actuarial areas. This role focuses on designing and building net-new analytical tools and frameworks that directly support executive decision-making across various functions (e.g., pharmacy, risk adjustment, benefit analysis, etc.). Operate as an internal consultant — partnering with senior leaders to understand their business needs, then building the SQL and Excel-based tools that help them meet measurable goals. Success requires strong analytical curiosity, rigorous critical thinking, a coder's mentality, and a genuine commitment to getting things right. Qualifications - Bachelor's degree in a relevant field or equivalent - 5+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role - Intermediate SQL skills — the ability to write precise, well-documented, complex queries is essential - Strong Excel proficiency; experience with SAS or similar tools a plus - Actuarial exam progress (ASA in process) preferred but not required - Demonstrated ability to build analytical tools from scratch in ambiguous or unstructured environments - Strong communication skills — ability to interview an executive stakeholder, understand their goals, and translate them into an analytical specification - Openness to coaching, close collaboration, and iterative feedback during onboarding - A genuine standard of quality — someone who notices when something doesn't look right and takes the time to figure out why Requirements - Design, build, and validate actuarial and analytic models from the ground up - Develop modular SQL code and Excel-based tool suites that run on a regular cadence - Build tools that put actionable outputs directly in the hands of the executives - Formalize and adhere to team standards for model design, code documentation, and work quality - Continuously refine and improve models based on emerging data and business needs - Perform deep-dive, ad hoc analyses to answer complex business questions - Translate ambiguous business problems into structured analytical methodologies - Present findings clearly to both technical and non-technical stakeholders - Own and manage analytic projects from planning through delivery Benefits - Medical, Vision and Dental Plans - Tax-Advantage Savings Accounts (FSA & HSA) - Life Insurance and Disability Insurance - Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer & Wellness Days) - Employee Assistance Program - 401k with company match - Employee Resource Groups - Employee Discount Program - Learning and Development Opportunities - And much more...

• Become the primary owner of high-impact data deliverables • Design, maintain, and run comprehensive QA processes • Serve as a trusted resource for clients and stakeholders • Independently investigate and resolve complex data quality issues • Collaborate with Insights and Engineering teams • Identify opportunities to improve efficiency and data quality