This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Analyst, who will report to the Sr. Manager, Client Reporting and Insights, will be responsible for delivering client-facing insights and reports for Medical Communication custom digital programs for our clients. In the short term, this role will be focused on transitioning existing report generation in-house with an eye towards enhanced automation. Over time, working with the larger Insights and Reporting team, there will be an opportunity to inform and evolve the offering based on changing client needs and enhanced technology. Data, Analytics and Reporting are high profile areas within Haymarket. This is an opportunity for the right candidate to contribute to a high growth area of the business. - Production of several types of formatted weekly / monthly reports for clients based on specifications provided by client - Work with Business Intelligence / Development teams as needed to facilitate addition of new data points to existing reports as requested by clients - Work collaboratively with other members of the Client Insights and Reporting team to maintain consistent SOPs across different business units - Identify points in workflow that would be best served through automation - Define requirements needed to automate reports or steps in the report generation workflow - Collect and interpret data from multiple sources, analyze results, and provide ongoing insights - Define and develop reporting insights considering client KPI’s - Use dashboards within data visualization tools to provide actionable data for marketing and sales teams Qualifications - BS/MS degree in related field - 3 years of relevant experience in a data role: business analytics or product analytics (software) - Advanced Google Sheets / Excel skills: Pivot Tables, VLOOKUP, SumIf, CountIfs, etc; Power Query - Experience in creating and maintaining reports and dashboards (Looker, Tableau, Power BI, etc) - Proficiency in SQL and Python - Knowledge and hands-on experience with Google Big Query, Google Analytics - End-to-end experience with data, including querying, formatting, aggregation, and analysis - Experience in combining data of various formats into a single format - Strong reporting and QA skills with the ability to collect and organize data with attention to detail and accuracy, such as the ability to identify extreme outliers and understand their cause - Yearn to ask questions to gain a better understanding of a concept or the data - Ability to think creatively about challenging problems - Must be a strong collaborator and communicator Benefits - A competitive compensation package - The salary range for this position is $60K–$70K. Compensation will be commensurate with experience, skill level, functional and/or industry knowledge, education level, certifications, as well as other qualifications. - Paid annual vacation, holiday and sick time off - Comprehensive health plans including medical, dental and vision - Competitive 401(k) investment options and generous company matching program - Life insurance - Commuter benefits - Employee referral awards - Tuition reimbursement - Work from anywhere option to ensure work life balance - Training opportunities through industry-recognized programs - A creative and passionate workplace and a fun, collaborative team environment - Three Week “Work from Anywhere” benefit, to ensure work life balance

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Analyst II role supports RealPage’s Investment Management product suite—Investor Management Services, Asset Investment Management, within the Data and Analytics division. This team partners with real estate investment firms to save time and money, streamline operations, simplify investor engagement, and mitigate risk through reliable, advanced technology. In this role, the analyst will develop deep product expertise to help customers achieve high satisfaction, collaborating closely with Customer Success, Product, Data, and Implementation teams to deliver an exceptional support experience. - Work directly with customers and their investors, providing real-time support to ensure they get the most value out of their Investment Management products - Provide support and troubleshooting assistance for product-related issues via case ticketing, email, and phone calls - Assist clients with complex problems, including analyzing discrepancies between financial models and system calculations - Gather information to identify and assess nature of problems - Complete ongoing user education, including hosting multi-client training sessions on areas of expertise - Coordinate with internal resources to resolve issues in a timely manner - Applicants need to be available for a rotating schedule consisting of hours between 8AM and 6PM ET, Monday through Friday Qualifications - At least 2 years of customer support experience, preferably in a software company - Microsoft Excel skills (formulas, functions, tables, etc.), prefer experience with financial modeling - Communicate well with others both written and verbally - Thrive being part of a team-oriented environment - Comfortable with handling complaints, disputes, and conflicts with customers - Proven abilities in building strong customer relationships, even in challenging circumstances - Highly organized, thorough, and proficient with managing your time and work deliverables Requirements - Bachelor’s degree in finance/accounting or equivalent levels of experience (preferred) - Experience supporting real estate/financial investment products (preferred) - A passion and curiosity to learn (preferred) - A penchant for analyzing information and evaluating results (preferred) - Eagerness and a positive attitude approach to new challenges (preferred) - Ability to think critically, troubleshoot, and solve complex problems in a fast-paced environment (preferred) Benefits - Health, dental, and vision insurance - Retirement savings plan with company match - Paid time off and holidays - Professional development opportunities - Performance-based bonus based on position Pay Range USD $56,100.00 - USD $95,500.00 /Yr.

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.