{"id":2958393,"url":"https://alion.io/job/scale-media-data-analyst-finance-scale-media","title":"Data Analyst, Finance - Scale Media","company":{"id":3910276,"name":"Scale Media","domain":"scalemedia.com","url":"https://alion.io/company/scale-media","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":80000,"max":100000,"currency":"USD","period":"year","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Google Sheets","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QuickBooks","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Stripe","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-20T22:12:22Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T02:19:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Scale\nFor the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding.\nOur team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands.\nWe believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact.\nScale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.\nIf you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in.\nAbout the Role\nWe are looking for a mid-level Data Analyst who is far more than a report builder. You are a \"Data Detective\" who understands the heartbeat of an e-commerce P&L.\nYou will not just analyze data; you will own the truth behind our revenue numbers and help Finance see what's coming next. We need a Financial Data Master who understands payment processors, core financial concepts, and forecasting, and who knows how raw transaction data becomes a P&L the business can trust.\nAdditionally, you will act as a critical partner to our Finance team, bridging the gap between raw data, payment processors, our financial reporting, and the forecast.\nWhat You'll Do\n1. Forecasting\nFinancial Forecasts:Build and maintain forecasts for revenue, orders, subscription renewals, and expenses by brand and channel, and keep them current as actuals come in.\nForecast vs. Actual:Track how forecasts compare to actuals, explain the gaps, and flag meaningful misses to the Finance team.\nBudget Support:Update the scenarios and assumptions Finance uses for budget planning.\n2. Financial Reporting & Unit Economics\nP&L Reporting:Build and maintain reporting on revenue, gross vs. net sales, discounts, refunds, COGS, and contribution margin by brand, channel, and product.\nUnit Economics:Report on contribution margin, payback, and profitability by brand, channel, and product.\nMonth-End Close:Support month-end close with timely, tied-out data.\nBudget vs. Actual:Produce variance reporting that explains what moved and why.\n3. Financial Data Integrity & Reconciliation\nReconciliation Investigations:Act as the lead investigator for revenue discrepancies. You will reconcile data between payment processors (Stripe, Shopify Payments, Amazon), bank deposits, our internal database, and accounting (QuickBooks) to ensure every dollar is accounted for.\nSpend Reconciliation:Reconcile marketing spend across ad platforms and invoices against finance records.\nRoot Cause Fixes:Work with Finance and our Data Engineer to fix discrepancies at the source.\nMetric Definitions:Document the business logic behind financial metrics so every team uses the same definitions.\n4. Data Transformation & Visualization\nData Preparation:While we have a Data Engineer managing the infrastructure, you will handle the \"last mile\" of data prep using KNIMEor dbt(or similar tools like Alteryx or Python/Pandas).\nBusiness Logic Application:Write efficient SQL to transform raw transaction data in Snowflakeinto usable datasets that reflect our financial business rules.\nDashboarding:Design, build, and maintain high-impact dashboards in Sigmafor Finance and leadership.\nWhat We're Looking For\nThe Essentials (Experience & Tech Stack)\nExperience Level:2-3 years of specific Data Analysis experience, ideally supporting finance. (We are not looking for Junior Analysts or Senior Data Architects; we need a hands-on mid-level executor.)\nForecasting:Hands-on experience building and maintaining financial forecasts (e.g., revenue, orders, or expenses) in SQL, spreadsheets, or a BI tool. This is required.\nFinancial Acumen:Comfort with revenue recognition, COGS, gross vs. net sales, and contribution margin.\nIndustry:Proven experience in DTC E-commerceis required. You must be comfortable with Shopify, Amazon Seller Central, and Stripedata.\nWarehousing & BI:Strong proficiency with Snowflake(SQL) and Sigma. We're open to candidates experienced with Tableau, Looker, or Power BI who can adapt quickly.\nSpreadsheets:Advanced Excel or Google Sheets skills.\nTransformation Tools:Competency in KNIMEor dbtis preferred, but we are open to candidates experienced with Alteryxor Pythonwho can adapt quickly.\nELT Familiarity:Awareness of how ELT tools (like Hevo, Fivetran, Airbyte, Azure, etc.) function, so you can communicate effectively with our Data Engineer.\nThe \"Financial Data Master\" Skill Set\nYou have built or maintained forecasts that Finance relied on, and you can explain why actuals came in above or below them.\nYou understand how a Shopify order becomes a processor payout and then a bank deposit, and where fees, refunds, and chargebacks create gaps.\nUnderstanding QuickBooksreport structures is a plus.\nThe Financial Mindset\nYou have the patience and precision to trace a single transaction through the entire data lifecycle to solve revenue mismatches.\nYou'd rather be right than fast, but you're fast too.\nWhat We Offer\nSalary: $80,000 - $100,000 depending on experience\nExcellent Medical, Dental, Vision and Life insurance\nFully remote, full-time position\nMonthly WFH stipend\nGenerous Paid Time Off program\nDiscounted Products\nAn amazing team to work alongside\nPlease click the link for our privacy notice:\nApplicant Privacy Policy Notice\nAbout Scale Media\nFor the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to nine figures in revenue while operating profitably with no external funding.\nOur team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands.\nWe believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact.\nScale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.\nIf you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in.\nWhat We Offer\nSalary: $\nMedical, Dental, Vision, and Life Insurance\nFully remote, full-time position\nMonthly work-from-home stipend\nGenerous paid time off program\nDiscounted products\nAn amazing team to work alongside\nPlease click the link for our privacy notice:\nApplicant Privacy Policy Notice","description_format":"text","description_chars":7106,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Consumer Goods"],"lifecycle":[{"event":"open","at":"2026-10-20T22:12:22Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":7,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":100000,"is_top_pay":true},"html_url":"https://alion.io/job/scale-media-data-analyst-finance-scale-media","json_url":"https://alion.io/job/scale-media-data-analyst-finance-scale-media.json","meta":{"generated_at":"2026-10-23T02:22:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3913,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3910276},"rest":"https://alion.io/mcp/rest/get_company?id=3910276"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fscale-media-data-analyst-finance-scale-media"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fscale-media-data-analyst-finance-scale-media"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fscale-media-data-analyst-finance-scale-media"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/scale-media-data-analyst-finance-scale-media\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fscale-media-data-analyst-finance-scale-media"}]}