---
title: 'Data Analyst at Marco'
canonical: 'https://feeny.ai/job/data-analyst-marco-remote-9djrg49tw8w3'
type: 'job'
last_seen: '2026-09-22'
---

# Data Analyst at Marco

- **Company:** Marco
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-15
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/marcohire/016ac1cd-3870-4bf4-8e68-83a2f01fd948

## Job description

Type: Full-Time (Contractor) Location: Remote (LatAm) Work Timezone: U.S. / North America Compensation: $2,000–$3,000/month USD

About Marco: Marco connects the top 1% of global professionals with ambitious, fast-growing companies. We believe the future of work is borderless—and that exceptional people come from anywhere. Our Client: Our client is DSLRPros (Enterprise UAS, LLC), a leading U.S. commercial drone and UAS reseller serving public safety agencies, enterprises, and government buyers. The company runs three brands and nine departments on an all-SaaS stack—Shopify Plus, Pipedrive, QuickBooks Online, ShipStation, PandaDoc, Rippling, Google Analytics, and Asana—and is growing through both organic expansion and acquisition. A company-wide KPI framework and tracker are already in place, with department leads entering monthly actuals after each month close. What does not exist yet is a reporting layer: there is no BI tool, no central data warehouse, and no automated pipeline between the systems. That is what this role is here to build.

The Role: They are hiring a Data Analyst to stand up business intelligence at DSLRPros from the ground up and then run it. You will architect and build the reporting stack—centralizing data out of eight SaaS systems and into Looker—then own the company-wide KPI framework and the reporting that sits on top of it. This is a build-then-operate role, and it is deliberately two-sided. The first half is technical: pipelines, data models, metric definitions, dashboards. The second half is communication. You will present to the executive team monthly and to department teams on a regular cadence, in plain language, with a clear point of view on what the numbers mean and what should change. A dashboard nobody acts on is a failed dashboard here. You report directly to the Chief Operating Officer and work with every department lead in the business.

What You Will Own: Standing up the BI stack

- Architect and implement the reporting stack from zero: source connections, a central data layer, and Looker as the reporting front end
- Select and implement the ETL/ingestion approach (Fivetran, Airbyte, native connectors, or direct API) for each source system, with a clear case for the cost and trade-offs of each
- Build clean, documented data models that other people can read and extend
- Make monthly reporting a review step rather than a data-entry exercise

Data integrity

- Pull and consolidate data across Shopify Plus, Pipedrive, QuickBooks Online, ShipStation, PandaDoc, Rippling, Google Analytics, and Asana
- Establish one agreed definition for every metric, so revenue, margin, and pipeline mean the same thing in every report
- Reconcile discrepancies between systems and find the source of the difference rather than reporting around it
- Flag data quality problems and work with department leads to fix them at the source

Measurement and analysis

- Own the company-wide KPI framework and tracker: maintain the definitions, keep targets current, and make sure each department is measured on the right things
- Produce monthly performance reporting for all nine departments across three brands
- Go past the number itself—explain the movement, identify the driver, and flag what leadership should be paying attention to
- Run ad hoc analysis for the executive team on product line profitability, customer segments, sales performance, and operational throughput

Reporting and presentation

- Build and maintain Looker dashboards that department leads open themselves instead of requesting a report
- Produce a monthly executive package that is clear enough to be read cold and short enough to actually get read
- Present findings live to the executive team monthly, and to department teams on a regular cadence
- Turn analysis into specific recommendations rather than leaving the audience to interpret it

Documentation and scale

- Document every data source, definition, model, and process so reporting does not depend on one person
- Build reporting that scales as the company adds departments, brands, and acquisitions
- Recommend and implement improvements to the stack as the business grows

Who You Are:

- You have built a reporting stack before, not just worked inside one someone else built
- You are equally comfortable in a SQL editor and in front of a leadership team
- You think in definitions—you know that "revenue" meaning three different things in three systems is the real problem, not a rounding error
- You make a recommendation rather than handing over a chart and waiting
- You are self-directed and work well with a U.S. team, with a bias toward asking early rather than guessing
- You are fluent in English, with clear verbal and written communication
- You are comfortable being the only data person in the building, and you document accordingly

Experience We're Looking For: Required

- 3–5 years in a data analyst, business intelligence, or analytics engineering role
- Strong SQL, and 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—you can take messy data from several systems and get to a number people can trust
- Proven ability to explain data to people who are not analysts, and to present to executives

## Preferred

- E-commerce and CRM data experience, particularly Shopify and a sales CRM such as Pipedrive
- Familiarity with accounting data and financial concepts such as margin, COGS, and contribution
- Python or a similar language for data manipulation and automation
- Experience at a small company where you owned reporting end to end rather than one slice of it
- Experience integrating data from an acquired company into an existing reporting structure

## About Marco

## Company Overview
- **One-liner**: Marco is a global talent acquisition platform that connects fast-growing businesses with the top 1% of remote professionals from Latin America, South Africa, and the Philippines, while supercharging their skills with AI training.
- **Entity Type**: Private (Seed-stage, bootstrapped)
- **Headquarters**: Remote-first (founded in the United States)
- **Founded**: 2023
- **Founders**: Not publicly disclosed

## Core Business
- Primary industry: HR Tech / Global Talent Acquisition / AI Workforce
- Target customers: B2B — fast-growing companies, scaling organizations, and enterprise teams looking to hire remote talent at 70–80% less than domestic costs
- Mission or purpose statement: "We recruit elite global talent, and supercharge their skills with AI & expert-led trainings, helping fast moving companies save 80% on payroll."

## Products & Services
- **[Marco Talent Matching Platform]**: A 5-step talent acquisition service that sources, vets, and embeds remote professionals. Includes a proprietary matching system that evaluates candidates through English fluency assessments (C2 level), multi-factor personality tests, role-specific skills tests, live interviews, and a two-week intensive onboarding program. Acceptance rate is less than 1% from a pool of 50,000+ monthly applicants. Placements are made within an average of 21 days.
- **[Marco AI Bootcamp]**: A proprietary two-week onboarding program that trains every hire on AI tools including ChatGPT, Claude, and Gemini, plus role-specific expert-led courses (e.g., Justin Welsh for LinkedIn, media buying with top creators). Designed to make hires "day-one ready" and achieve 2–3X productivity compared to typical hires.
- **[Marco Guarantee]**: Every placement comes with a 180-day free replacement policy, ensuring clients only pay for talent that performs.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Private — no public revenue figures; estimated headcount of 11–50 employees per [hireskys.com](https://www.hireskys.com/companies/marco)
- **Notable Investors/Partners**: Not publicly disclosed (appears bootstrapped)
- **Growth Signals**: Growing rapidly with a high-volume talent pool (50,000+ monthly applicants), expanding into AI-augmented workforce deployment, and placing talent across 100+ roles in eight departments. The company actively posts new roles for its own internal team.

## Competitive Advantages
- **Ultra-selective vetting (<1% acceptance rate)**: Only 1% of candidates pass the five-stage process, ensuring elite quality.
- **AI-first training program**: Marco uniquely trains all hires on LLMs (ChatGPT, Claude, Gemini) and role-specific tools before they start, creating a productivity advantage of 2–3X over typical hires.
- **Cost leadership**: Full-time remote employees start at around $14,000/year, saving clients 70–80% vs. domestic US hiring.
- **180-day replacement guarantee**: Reduces risk for clients and signals confidence in talent quality.
- **Focus on senior professionals**: Unlike competitors that focus on entry-level VAs, Marco targets strategic roles (growth marketing, finance leadership, software development, sales management).

## Strategic Focus
- Scaling the platform to handle larger enterprise deployments and "orchestrate massive-scale, AI-augmented workforce deployment"
- Deepening AI integration into talent training and matching processes
- Expanding the pool of senior, experienced professionals across more roles and departments
- Building out internal team to support growth (actively hiring Operations Coordinator, Senior Content Editor, and other roles)

## Why Work Here
- **Remote-first culture**: Marco is fully remote, with team members across Latin America, South Africa, the Philippines, and the US. Roles are remote with time zone alignment to US business hours.
- **Growth trajectory**: As a young company (founded 2023) in a high-demand space, employees have the opportunity to shape processes and grow with the company.
- **Mission-driven work**: The company is focused on democratizing access to elite global talent and making remote work effective at scale.
- **Compensation**: Salaries for internal roles appear competitive for remote global talent. For example, a Senior Content Editor role is posted at $2,800–$3,250/month, and an Operations Coordinator at $2,300–$2,800/month [hireskys.com](https://www.hireskys.com/companies/marco).
- **Small team, big impact**: With 11–50 employees, new hires can expect a high-agency environment where they directly influence company direction.

## Sources
1. [Marco Official Website](https://www.marcohire.com/)
2. [Marco About Page](https://www.marcohire.com/about)
3. [Marco Start Hiring Page](https://www.marcohire.com/start-hiring)
4. [Marco Careers on Ashby](https://jobs.ashbyhq.com/marcohire)
5. [HireSkys Company Profile - Marco](https://www.hireskys.com/companies/marco)
6. [Marco Roles We Recruit Page](https://www.marcohire.com/hire)

## Other roles at Marco

- [Paid Ads Specialist (Meta / TikTok Shop / E-Commerce)](https://feeny.ai/job/paid-ads-specialist-meta-tiktok-shop-e-commerce-marco-remote-c8ea8s9pqww9)
- [Operations Coordinator](https://feeny.ai/job/operations-coordinator-marco-remote-s43s7087k2w8)
- [Business Development Representative](https://feeny.ai/job/business-development-representative-marco-remote-9447tbfvpctm)
- [Data Analyst](https://feeny.ai/job/data-analyst-titan-new-york-yxc4v3pmk89f) — New York, NY
- [Data Analyst](https://feeny.ai/job/data-analyst-monks-brazil-r3x8ndrwncyv) — Brazil
- [Data Analyst](https://feeny.ai/job/data-analyst-drw-london-yseeacfzz6zx) — London, United Kingdom
- [Data Analyst](https://feeny.ai/job/data-analyst-graphcore-bristol-0ygwh5m9jr27) — Bristol, United Kingdom
- [Data Analyst](https://feeny.ai/job/data-analyst-oliver-agency-apac-mumbai-n6j0e121v76x) — Mumbai, India
- [Data Analyst](https://feeny.ai/job/data-analyst-connecteam-tel-aviv-district-fw001v9qrvz2) — Tel Aviv District, Israel
- [Data Analyst](https://feeny.ai/job/data-analyst-clarity-innovations-hurlburt-field-a0jnnqgpyhte) — Hurlburt Field, FL