This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Chargeback Analyst will play a key role in managing and resolving customer chargebacks and deductions in a high-volume pharmaceutical 3PL distribution environment. This role is critical in maintaining the integrity of revenue reporting and ensuring timely recovery or resolution of disputed amounts. - Review and analyze chargebacks, deductions, and customer claims related to pricing, freight, shortages, and promotional allowance. - Reconcile chargeback data with internal records and contracts to validate or dispute claims. - Collaborate with customer service and internal teams to research and resolve discrepancies. - Communicate directly with external customers and clients to obtain documentation to clarify claim details. - Maintain accurate documentation of all deductions, resolutions, and communications. - Identify trends and recurring issues in chargebacks and make recommendations for process improvements. - Assisting in month-end close by providing chargeback accruals, reconciliations, and reporting. - Support audits and internal reviews by preparing detailed reports and documentation. - Participating in month-end closing processes and reconciling accounts. - Contribute to cross-functional efforts to enhance pricing accuracy and deduction prevention. - Ensure compliance with company policies, contracts, and industry regulations. Qualifications - Bachelor’s degree in business, finance, or related field or equivalent combination of education and experience. - Two years of experience in chargebacks, deductions, or AR within a distribution environment. - Familiarity with trade promotions, distributor pricing agreements, and customer compliance programs in the pharmaceutical industry. - Proficiency in ERP software (e.g., Oracle, NetSuite, D365). - Proficiency in chargeback software (e.g., Relasoft, Model N). - Excellent communication and interpersonal skills with internal and external customers. - Strong analytical and problem solving skills with attention to detail. - Ability to manage multiple priorities and work independently in a fast-paced setting. Requirements - Experience with chargeback portals or third-party claim platforms. - Knowledge of EDI systems and customer compliance requirements. - Familiarity with pricing logic and revenue leakage analysis. - Continuous improvement mindset and experience with process automation and reporting tools. - Strong time management, organizational skills, initiative, professional demeanor, and positive attitude. - Ability to work independently and meet timelines. - Ability to promote a positive team environment. Physical Demands - Location of job activities 100% inside. - Extensive manual dexterity (keyboarding, mouse, phone). - Use of phone for communication. - Sit for prolonged periods of time. - Occasionally stoop, kneel, and crouch. - Occasionally lift, carry, and move up to 25 pounds. - Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

About Curology: Curology’s mission is to make effective, personalized skincare accessible. We were founded by dermatologists who believe everyone should have access to skincare products that actually work. Today, our licensed dermatology providers have helped millions of patients across all 50 states make that mission a reality. We combine expert medical care with personalized prescription formulas and dermatologist-developed skincare essentials to deliver science-backed solutions that meet people where they are. Join us in our mission to transform skin health and enhance lives—one patient at a time. Mission of the Role: The mission of the Data Analyst, Finance & Revenue Operations is to create and maintain a single, trusted view of financial performance that enables Finance, Revenue Operations, and business leaders to make timely, high-confidence decisions. Reporting to the Director of Data within the centralized Data & Analytics team, this role owns analytics across the finance domain—partnering closely with Finance and Revenue Operations to deliver reliable financial reporting, analyze revenue and unit economics, and translate complex data into clear, actionable insights. Working cross-functionally with analytics engineering and data engineering, the Data Analyst leverages modern data tools to build scalable, accurate, and decision-ready solutions. Essential Functions & Impact Areas: - Own reporting and analysis for shipments, units, and gross revenue, ensuring alignment between financial systems (e.g., NetSuite) and the data warehouse (Snowflake). - Build and maintain Tableau dashboards that support Finance, Revenue Operations, and leadership decision-making. - Analyze and explain key performance metrics—including Conversion, Average Order Value (AOV), Retention, and Lifetime Value (LTV)—through a financial and unit-economics lens. - Support enhancements to gross contribution and revenue models, validating logic and partnering with analytics engineering on model improvements. - Partner on the in-house transition of repurchase and retention curves, supporting analysis, testing, and stakeholder alignment. - Analyze Shopify financial data, including one-time vs. subscription purchases, break-of-box logic, and order- and line-item-level revenue dynamics. - Use SQL and Python to perform exploratory, ad-hoc, and deep-dive analyses that surface insights and opportunities. - Act as an analytics partner to Finance and RevOps while collaborating with other analysts across Data & Analytics to ensure metric consistency. - Document metrics, definitions, and dashboard logic to support clarity, trust, and scalability.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're looking for a sharp, stats-literate Analyst who can own product analytics end-to-end. We need someone with the judgment to know what questions to ask and the rigor to answer them properly. - Own experimentation. - Design A/B tests with proper sample size calculations, power analysis, and significance testing. Run them. Interpret them. Flag when results are misleading. - Analyze retention and engagement. - Build and maintain cohort analyses, retention curves, and conversion funnels. Identify what separates users who stick from users who churn. - Answer the hard questions. - Define and track metrics. - Help us build the right metrics framework for our stage. Know when a metric is vanity and when it's signal. - Communicate findings clearly. - Present insights to technical and non-technical stakeholders in a way that drives action, not confusion. - Use LLMs as a force multiplier. - We expect you to use AI tools aggressively for query generation, data wrangling, and visualization -- so you can spend your time on the thinking, not the typing. Qualifications - 3-5 years of experience in product analytics, data analysis, or a quantitative role at a tech company (startup experience strongly preferred) - Strong statistical foundations: hypothesis testing, confidence intervals, Bayesian reasoning, power analysis, regression. Not textbook knowledge -- practical application. - Demonstrated ability to design and analyze A/B tests and other controlled experiments - Sharp product intuition -- you think about why users behave a certain way, not just how - Excellent written and verbal communication Requirements - Fluent in SQL. You'll be writing HogQL (ClickHouse-flavored SQL) against PostHog, so comfort with analytical SQL dialects is important. - Python proficiency (pandas, scipy, statsmodels) for ad hoc analysis beyond what a BI tool can do - Experience with PostHog or similar product analytics platforms (Amplitude, Mixpanel) - Experience at an early-stage startup where you had to build analytics from scratch What we don't need - ML/data science specialization (we're not building recommender systems) - Data engineering / pipeline skills (this isn't a dbt or Airflow role) - A Master's degree (we care about what you can do, not your credentials) Interview Process - Intro call (30 min) -- get to know each other, talk through your experience - Stats & analysis discussion (~1.5 hrs) -- assess your product analytics skills and stats fluency - Culture & product chat with CEO (30 min) -- alignment on mission, working style, product thinking Details - Location: Remote (some overlap with US PST hours expected) - Compensation: commensurate with experience. Equity included. - Team: You'll be joining a small, high-caliber team across the world. Direct line to founders and engineering leadership.

The Ronin Society helps founder‑led companies grow by giving them clear financial models, monthly visibility, and strategic decision support. We’re building a small, sharp cohort of 3 Analyst Apprentices to work directly with our lead analyst and strategist team. This is a paid, part‑time (10 hours/week), 3‑month apprenticeship designed for people early in their careers who want real‑world FP&A experience across multiple small/growing companies. If you’re detail‑oriented, technically sharp, and enjoy working with numbers and spreadsheets, this is for you. What You’ll Do You’ll join our Analyst Apprenticeship Program and support our team with: - Monthly financial close tasks for multiple clients - Updating financial models (we use a standardized model we’ll train you on) - Pulling, cleaning, and organizing data from bookkeeping systems (e.g., QuickBooks) - Running and checking basic reports (P&L, balance sheet, cash flow, KPIs) - Performing quality checks on models (QA: catching formula errors, inconsistencies, missing data) - Documenting your work clearly so the team can review and reuse it You’ll work under the guidance of our lead analyst (Mary) and senior strategist (Alex), with structured training and clear checklists. What You’ll Learn Over 3 months, you will: - See how FP&A is done for real founder‑led businesses (multiple industries) - Learn how to support a monthly close process in a consulting environment - Learn how to maintain and update driver‑based financial models - Get exposed to how strategy, forecasting, and financial planning come together - Build a portfolio of real work you can talk about in future roles At the end of the program, you’ll receive a certificate of completion from The Ronin Society, and our best apprentices may be: - Offered an extension / expanded role, or - Invited back for future part‑time analyst work as our client base grows Time & Compensation - Time commitment: 10 hours per week - Duration: 3 months (with potential extension) - Compensation: $40/hour (contractor)