Job Closed
This listing is no longer active.
Making effective skincare accessible. Forbes, Fortune, Great Place to Work Best Company. We're hiring!
Data Analyst, Finance & Revenue Operations
Location
United States
Posted
96 days ago
Salary
$120K - $140K / year
Seniority
Senior
Job Description
Data Analyst, Finance & Revenue Operations
Curology
• 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.
Job Requirements
- Strong proficiency in SQL, including experience writing complex analytical queries.
- Experience in financial, revenue, or business analytics, ideally in close partnership with Finance or Revenue Operations teams.
- Hands-on experience building and maintaining Tableau dashboards for business stakeholders.
- Solid understanding of conversion, retention, AOV, and LTV metrics and how they influence revenue and forecasting.
- Experience using Python for analysis (e.g., pandas, Jupyter notebooks).
- Strong communication skills, with the ability to translate analysis into clear, actionable insights for diverse audiences.
- Proficiency using AI (e.g., ChatGPT and Google Gemini) to accelerate analysis and communication — such as drafting SQL/Python approaches, summarizing findings, and generating documentation — while independently validating outputs for accuracy.
- Ability to use AI tools to speed up exploratory analysis (hypothesis generation, anomaly investigation, dashboard QA) without compromising metric integrity or financial reporting standards.
- Nice to Haves
- Experience with Snowflake or modern cloud data warehouses.
- Familiarity with NetSuite or accounting-adjacent systems.
- Exposure to ecommerce or subscription-based business models.
- Experience working in a centralized analytics or data organization.
- Experience with AI-assisted coding/analysis workflows (prompt-driven SQL optimization, Python notebook acceleration, automated documentation) alongside strong analytics best practices.
- Familiarity with AI-enabled analytics features within tools like Tableau or modern data platforms to improve dashboard usability, data quality checks, or stakeholder self-serve.
Benefits
- 💰 Competitive compensation and equity package (RSUs)
- 🥼 Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
- 🧘🏻♀️ Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
- 🌴 Flexible paid time off and holiday policy
- 🐣 Paid parental leave (birthing and non-birthing parents)
- 💜 Employee donation matching program
- 🫱🏻🫲🏽 Culture Committee and employee resource groups for virtual and in-person connectivity
- ✨ Complimentary VIP Subscription to Curology or Agency, plus online retail discount
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a detail-oriented and analytical Data Analyst to support data-driven decision-making across the organization. This role will partner closely with cross-functional teams including underwriting, claims, actuarial, and finance to deliver insights that drive business performance, operational efficiency, and regulatory compliance. The ideal candidate is comfortable working with large datasets, building dashboards, and translating business needs into actionable analysis. - Analyze large datasets to identify trends, patterns, and opportunities for improvement - Develop and maintain dashboards, reports, and data visualizations for business stakeholders - Partner with underwriting, claims, actuarial, and finance teams to support strategic initiatives - Perform data validation, cleansing, and quality checks to ensure data integrity - Translate business requirements into SQL queries and analytical models - Support regulatory reporting and compliance-related data requests - Conduct ad hoc analysis to support executive and operational decision-making - Document processes, data definitions, and reporting logic - Identify opportunities for automation and process optimization Qualifications - Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field - 2–5+ years of experience in data analysis or business intelligence - Strong SQL skills, including complex queries, joins, and aggregations - Experience with data visualization tools such as Power BI, Tableau, or similar - Advanced proficiency in Microsoft Excel (pivot tables, advanced formulas) - Experience working with relational databases - Strong analytical and problem-solving skills - Excellent communication skills with the ability to present findings clearly to technical and non-technical audiences Requirements - Experience in insurance, financial services, or healthcare industries - Knowledge of industry metrics such as loss ratios, claim trends, and underwriting KPIs - Experience with Python or R for data analysis - Familiarity with ETL processes and data warehousing concepts - Experience working in an Agile or cross-functional team environment
Data Analyst – Contract
Goodway Group90+ years of marketing innovation. Empowering clients to trailblaze through the digital frontier.
• Engage with key stakeholders to understand their data needs and requirements. • Identify and extract data from various sources and aggregate into a cohesive report • Create, refine, and optimize routine reports for Insights and Strategy team • Proactively seek any needed context and clarification regarding the data request • Analyze data and identify trends to inform client marketing strategy – inclusive of audience, media engagement, creative performance and more • Translate data into actionable insights, providing simple and appealing visualizations to clearly communicate the data story to non-specialists • Contribute to internal brainstorming sessions and collaborate with sales, account management and strategy team members throughout client consultation • Proactively seek and develop knowledge of the retail, CPG and healthcare industry • Ability to identify potential challenges and suggest actions to mitigate them • Is accountable for adhering to timelines, meeting quality standards and takes ownership of projects • Adapts well to change and ever-evolving solutions • Adhere to all regulatory, company and department data policies
Senior Marketing Data Analyst
BloomerangBloomerang helps nonprofits deliver a better giving experience so they can raise more funds and create lasting change.
• Own marketing performance reporting across the funnel, delivering clear visibility into pipeline, revenue, conversion rates, and ROI • Serve as the primary owner of RevSure reporting, ensuring accuracy, consistency, and actionable insights for executive and go-to-market stakeholders • Build and maintain dashboards and visualizations in Tableau to translate complex datasets into compelling, decision-driving insights • Develop and manage Salesforce reporting to support lead management, pipeline tracking, and sales alignment • Oversee marketing attribution and measurement through Marketo Measure, ensuring accurate campaign performance and multi-touch attribution analysis • Partner with Marketing, Sales, and Revenue Operations to analyze funnel performance, identify trends, and recommend optimization opportunities • Proactively identify data gaps, reporting inconsistencies, and process improvements to strengthen data integrity and reporting reliability
Sr. Real Estate Analyst
Vuori, IncVuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression, and life. Our high energy fast-paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm, and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Real Estate Analyst supports Vuori’s retail expansion and existing store reinvestment efforts through detailed market analysis, financial modeling, and performance tracking. Reporting to the Vice President of Real Estate, this role focuses on producing accurate, actionable analysis that informs site selection, investment decisions, and ongoing portfolio performance. The Senior Real Estate Analyst works closely with Real Estate, Finance, and Retail Operations teams to support revenue forecasts, cannibalization analyses, and performance insights. This role is a hands-on analytical position with ownership of core models, data, and reporting that support the day-to-day and long-term needs of the Real Estate function. - Market & Site Analysis - Conduct market research and trade area analysis for potential store locations, including demographic, economic, and competitive assessments - Support site selection and deal evaluation by developing location-specific insights and recommendations - Assist in market prioritization efforts through data analysis and comparative market reviews - Financial Modeling & Forecasting - Maintain and evolve standardized financial models and assumptions used in real estate underwriting and approval processes - Perform sensitivity and scenario analyses to assess risks and upside associated with individual deals - Partner with Finance and Real Estate teams to align assumptions and validate forecast inputs - Cross-Functional Support - Work closely with Real Estate, Finance, Retail Operations, and field teams to support ongoing analytical needs - Prepare clear summaries, reports, and presentation materials that translate analysis into practical insights - Provide ad hoc analysis to support real estate negotiations, investment decisions, and internal reviews - Process & Data Management - Manage data inputs from internal systems, brokers, consultants, and third-party providers, ensuring accuracy and consistency - Identify opportunities to improve analytical workflows, templates, and reporting efficiency - Support documentation and standardization of forecasting methodologies and reporting practices - Assist with special projects and initiatives related to retail growth and portfolio performance Qualifications - Bachelor’s degree; focus on finance, real estate, economics, business, or a related field preferred and/or equivalent years of experience preferred - 5+ years of experience in retail real estate analysis and market planning - Proven experience in evaluating sales from potential Retail locations, with end-to-end management of market and location data and analysis - Strong hands-on experience with Excel-based modeling and data analysis - Solid understanding of retail real estate metrics, forecasting, and investment evaluation - Ability to synthesize data into clear, practical insights for non-technical partners - Strong written and verbal communication skills - Proven ability to manage multiple analyses and deadlines simultaneously - Highly organized, detail-oriented, and comfortable working independently - Proficient in MS Suite (experience with visualization, BI, or GIS tools is a plus) Benefits - Health Insurance - Savings and Retirement Plan - Employee Assistance Program - Generous Vuori Discount & Industry Perks - Paid Time Off - Wellness & Fitness benefits


