
11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Marco is a recruitment and talent-as-a-service company that sources elite global remote professionals, amplifies their skills through proprietary AI training and expert-led courses, and embeds them as full-time members of client teams at significantly lower cost. The company runs a multi-stage screening process with rigorous skills, language, and personality assessments, offers role-specific onboarding and an AI bootcamp, and provides a 6-month guarantee on hires. Marco primarily serves businesses seeking to hire trained remote talent across marketing, engineering, operations, and support roles.
🔥 16 hours ago
🌐 Chile, Costa Rica, +2 more countries – Remote
💵 $2k - $3k / month
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
👻 Ghost score 3%
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11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Marco is a recruitment and talent-as-a-service company that sources elite global remote professionals, amplifies their skills through proprietary AI training and expert-led courses, and embeds them as full-time members of client teams at significantly lower cost. The company runs a multi-stage screening process with rigorous skills, language, and personality assessments, offers role-specific onboarding and an AI bootcamp, and provides a 6-month guarantee on hires. Marco primarily serves businesses seeking to hire trained remote talent across marketing, engineering, operations, and support roles.
• Architect and implement the reporting stack from zero, including source connections, a central data layer, and Looker as the reporting front end • Select and implement the ETL/ingestion approach for each source system • Build clean, documented data models • Make monthly reporting a review step rather than a data-entry exercise • Consolidate data across Shopify Plus, Pipedrive, QuickBooks Online, ShipStation, PandaDoc, Rippling, Google Analytics, and Asana • Establish agreed definitions for every metric and reconcile discrepancies between systems • Flag data quality problems and work with department leads to fix them at the source • Own the company-wide KPI framework and tracker • Produce monthly performance reporting for all nine departments across three brands • Explain performance movements, identify drivers, and flag leadership priorities • Run ad hoc analysis for the executive team on profitability, customer segments, sales performance, and operational throughput • Build and maintain Looker dashboards • Produce a monthly executive reporting package • Present findings to the executive team monthly and department teams regularly • Turn analysis into specific recommendations • Document every data source, definition, model, and process • Build scalable reporting as the company adds departments, brands, and acquisitions • Recommend and implement improvements to the data stack
• 3–5 years in a data analyst, business intelligence, or analytics engineering role • Strong SQL • Hands-on experience building or managing a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar) • Experience implementing ETL/ingestion from SaaS APIs—Fivetran, Airbyte, or equivalent • Demonstrated experience building dashboards in Looker or Looker Studio from scratch, including the data model underneath them • Advanced spreadsheet skills • Proven ability to explain data to people who are not analysts and to present to executives • Fluent in English, with clear verbal and written communication • Preferred: E-commerce and CRM data experience, particularly Shopify and a sales CRM such as Pipedrive • Preferred: Familiarity with accounting data and financial concepts such as margin, COGS, and contribution • Preferred: Python or a similar language for data manipulation and automation • Preferred: Experience at a small company where you owned reporting end to end • Preferred: Experience integrating data from an acquired company into an existing reporting structure
• Remote work • Full-time contractor arrangement • Work with a U.S. team during U.S./North America hours
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