Senior Business Intelligence Analyst

Talent Edge Recruiting; Argentina; Presencial; ARS 67.402.000 - 109.529.000; Jornada completa

Descripción de la vacante

Talent Edge Recruiting is seeking a blended Data Engineering + BI role with end-to-end ownership of the data function—from pipelines and cloud infrastructure to dashboards and leadership insights. You'll own data pipelines on Google Cloud Platform (BigQuery at the core), write Python ETL processes, and build/modernize dashboards in Tableau with cross-functional stakeholders.

This fully remote role is open to candidates in Latin America or the Philippines, with initial overlap to US Eastern hours

Formación

• 7+ years in BI/Analytics Engineering/Data Engineering or similar hybrid role.
• Hands-on Google Cloud Platform experience, especially BigQuery.
• Strong Python for building ETL/data pipelines.
• Proven end-to-end data/reporting environment ownership.
• Active use of AI tools in daily BI workflows.

Responsabilidades

• Own data pipelines and cloud infrastructure on Google Cloud Platform (BigQuery core).
• Write and maintain Python ETL processes across sources.
• Build pipelines, bring new data sources into warehouse, automate recurring workflows.
• Monitor, troubleshoot data pipelines to keep data clean.
• Maintain data quality and organization across analytics environment.
• Own dashboard/reporting strategy in Tableau with stakeholders across business.
• Translate business questions into decision-ready dashboards and evolve them.
• Manage data connections, SQL logic, refresh schedules, and QC on reporting.
• Troubleshoot reporting issues to reflect true underlying data.
• Help leadership understand what data is telling them and act on it.
• Bring AI fluency to automate data tasks where possible.
• Partner cross-functionally as the go-to for “what does the data say”.
• Join growing Operations with direct reporting line to senior leadership.

Conocimientos

BigQuery

Python

Tableau

End-to-end data ownership

AI tools usage

GCP

Herramientas

Google Cloud Platform

Tableau

Python

Descripción del empleo

This is a fast-growing, U.S.-based company that has made a real, hands-on investment in using data and AI to run the business better — not as a buzzword, but as how decisions actually get made day to day. Right now, their data doesn't have a single owner. That's where you come in.

About the Role

This is a rare "build it and own it" seat: a blended Data Engineering + Business Intelligence role where you'll take end-to-end ownership of the data function — from the pipelines and cloud infrastructure underneath it, to the dashboards and insights leadership uses to make decisions.

Responsibilities

• Own the data pipelines and cloud infrastructure, built on Google Cloud Platform (BigQuery at the core, plus supporting serverless and automation services)
• Write and maintain Python-based ETL processes that move, transform, and load data across multiple sources
• Build new pipelines, bring new data sources into the warehouse, and automate recurring workflows
• Monitor, troubleshoot, and resolve data pipeline issues to keep data flowing cleanly between systems
• Maintain data quality and organization across the analytics environment
• Own dashboard and reporting strategy in Tableau, working directly with stakeholders across the business — finance, sales, operations, and more
• Translate business questions into clear, decision-ready dashboards — then maintain and evolve them over time
• Manage data connections, SQL logic, refresh schedules, and QC on all reporting
• Troubleshoot reporting issues and make sure every dashboard reflects the true underlying data
• Help leadership actually understand what the data is telling them, not just look at it
• Bring real, hands-on AI fluency to the role — this team uses AI tools daily and is actively building a data environment that leans on automation and AI assistance instead of manual coding wherever possible
• Partner cross-functionally as the go-to person for "what does the data say"
• Join a growing Operations organization with a clear, direct reporting line into senior leadership

Qualifications

• 7+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar hybrid role
• Strong, hands-on experience with Google Cloud Platform, specifically BigQuery
• Strong Python experience, specifically for building and maintaining ETL/data pipelines
• Strong Tableau experience — building dashboards from the ground up, not just editing existing ones
• Proven experience owning or maintaining a data/reporting environment end-to-end
• Experience troubleshooting data pipeline and reporting issues independently
• Solid understanding of how data moves and transforms across systems
• Genuine, active use of AI tools in your day-to-day data/BI workflow — this team is deep into AI adoption and looking for someone who already thinks this way
• Ability to work with solid overlap with core U.S. Eastern business hours during the initial onboarding period

Pay range and compensation package

$4,000–$6,500 USD/month, based on experience — this is a long-term, full-time engagement, not a short-term project.

Schedule: Monday–Friday, with solid overlap with core U.S. Eastern business hours expected during the initial onboarding/ramp period; more schedule flexibility once you're fully ramped.

Fully remote — work from home.

Genuine ownership: you're not inheriting someone else's system, you're building and owning the data function from here forward.

Join a company that's leaning hard into AI as a working culture, not a buzzword — real budget and real appetite for tools that make data work smarter.

Backed by a growing, well-established U.S. company with real momentum and staying power.

Equal Opportunity Statement

A background check is required for this role. This is a fully remote position open to candidates based in Latin America or the Philippines as listed above — it is not open to candidates outside these regions, and this listing does not apply to any other location unless explicitly stated. Visa sponsorship is not available for this position.