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Data Assistant

Data Assistant

1840 & CompanyBuenos Aires, Buenos Aires, Argentina, C1000
Hace 13 días
Descripción del trabajo

We’re seeking a detail-oriented Data Assistant / Analyst to support data operations, reporting, and process automation across a growing analytics function. This role is ideal for someone with 1–3 years of experience in a data role who is comfortable working with Power BI, SQL, Python, Excel, and has exposure to Azure-based data workflows.

You’ll work closely with the VP of Analytics, as well as senior finance stakeholders, including the CFO and Director of Financial Analysis.

Schedule : 9 AM – 5 PM EST or CST (occasional overnight availability may be required)

Note : Please submit your résumé in English.

Responsibilities :

  • Data Administration (30%) : Monitor overnight POS reports and confirm successful execution.
  • Manually run reports or trigger pipelines when scheduled jobs fail.
  • Maintain and update a master customer table with daily attribute changes.
  • Assist with documenting and maintaining data pipelines.
  • Data Operations Support (30%) : Document data flows, pipeline dependencies, and exception-handling processes.
  • Log and escalate recurring data issues to engineering when needed.
  • Perform ad hoc data pulls and reconciliations for the analytics team.
  • BI Quality Assurance (20%) : QA Power BI dashboards and datasets for accuracy and logic consistency.
  • Maintain a daily “data health” report to track key tables and identify anomalies.
  • Collaborate with business stakeholders to validate BI outputs against source data.
  • Process Improvement & Automation (20%) : Identify opportunities to automate or streamline manual data tasks.
  • Recommend enhancements to monitoring, alerting, and documentation.
  • Work with engineering to transition repeatable tasks into automated workflows.

Required Qualifications :

  • 1–3 years of experience in a data-focused role.
  • Proficiency in : Power BI (dashboard review required during evaluation
  • Python (coding review via GitHub or project walkthrough)
  • SQL
  • Excel (advanced proficiency)
  • Familiarity with Azure data tools (e.g., Data Factory, Blob Storage, Functions).
  • Comfortable using or learning data monitoring tools and job schedulers.
  • Able to work in a Windows environment (required).
  • Strong attention to detail and ability to document processes clearly.
  • Comfortable working independently and with cross-functional teams.
  • Additional Information :

  • Candidates must be available during EST or CST business hours.
  • Occasional overnight availability may be requested for pipeline monitoring.
  • Candidates should be prepared to : Share a Power BI dashboard they’ve built.
  • Provide a GitHub link with relevant Python or Azure code samples.
  • About 1840 & Company

    1840 & Company is a global leader in Business Process Outsourcing (BPO) and remote talent solutions, dedicated to propelling businesses forward through our comprehensive suite of services. We specialize in connecting companies with world-class freelance professionals and delivering top-tier outsourcing services, across over 150 countries worldwide.

    Our mission is to empower growth for forward-thinking businesses, seamlessly bridging any skill or resource gaps with our expertly vetted talent pool. We firmly believe in fostering an environment where exceptional individuals can achieve an optimal work-life balance, working remotely from any location, while maximizing their professional growth and earning potential.

    We are headquartered in Overland Park, KS, USA with service delivery facilities in the Philippines, India, Ukraine, South Africa and Argentina. We invite you to explore the opportunities we offer and consider joining our exclusive network of global freelance talent. Visit www.1840andco.com to learn more about us. To explore a wealth of career opportunities and find a role that suits your unique skills and aspirations, please visit our dedicated jobs portal at jobs.1840andco.com .

    $10 - $13 an hour

    Compensation details : 10-13 Hourly Wage

    PIc87591f95bae-30511-38549736

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    Data • Buenos Aires, Buenos Aires, Argentina, C1000

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