What were looking for Data / Reporting Analyst(Only candidates from Latin America)
About us
Archie Labs builds smarter software by combining AI and expert human teams. We help companies move from concept to production-ready systems faster using agentic AI AI-powered product discovery and strong engineering execution.
At Archie Labs youll work in a people-first environment built around autonomy ownership and continuous learningpartnering closely with clients and technical teams to deliver real solutions not just plans.
About the Role
We are looking for a Data / Reporting Analyst who can move fast without sacrificing quality. This is a hands-on contract role where you will be expected to design build and validate dashboards and data pipelines from day one.
The right person for this role is equally comfortable writing SQL at 9am deploying an Omni dashboard by noon and running a full test suite before the end of day. Speed and rigor are not trade-offs here they are both required.
Responsabilities
Dashboard Development and Delivery
Design and build production-ready Omni dashboards rapidly from requirements to deployment within compressed timelines
Translate business questions from stakeholders into clear actionable visual reports without requiring multiple revision cycles
Develop and maintain self-service reporting assets that non-technical users can navigate and trust
Integrate dashboards with live data sources including Databricks SQL data warehouses and SharePoint/M365 environments
Manage the Omni semantic layer: define and maintain consistent metrics dimensions and business logic across all reporting surfaces
Data Quality and Testing
Build and execute comprehensive test suites for every data pipeline and dashboard before any report goes to a stakeholder
Write data validation scripts in Python (pandas) to verify row counts nulls duplicates referential integrity and value ranges
Establish and maintain a regression testing framework so that changes to upstream data or models do not silently break downstream reports
Document test coverage and test results as part of every delivery with sign-off required before production release
Flag and escalate data quality issues immediately with clear impact assessments and proposed remediation paths
Conduct peer review of SQL queries and dashboard logic to catch errors before they reach end users
Data Engineering and Pipeline Support
Write optimized SQL against Databricks and equivalent cloud data warehouse platforms
Build and maintain data transformation logic in Databricks using Python and Spark
Develop reusable Python/pandas scripts for data profiling cleansing and ad hoc analysis
Support the data architecture team in documenting data flows table definitions and transformation logic
Collaboration and Documentation
Work directly with the CIO and business stakeholders to prioritize and scope reporting requirements
Maintain clear up-to-date documentation for all dashboards data models and testing procedures in SharePoint
Participate in sprint reviews flagging blockers early and communicating progress against committed timelines
Required Qualifications
3-5 years in a data analyst or BI role
Dashboards: Omni (primary dashboards semantic layer self-service) Power BI (legacy in transition)
Data Platform: Databricks (transformation ELT) cloud data warehouse (SQL)
Collaboration: SharePoint / Microsoft 365 (documentation file management data integration)
Testing: Python-based validation scripts manual test logs peer review protocol
Upper-Intermediate to Advanced English (B2 / C1)
Only candidates from Latin America
You Are a Fit If
You deliver working reports in days not weeks
Testing is part of your build process not an afterthought
You push back when data quality is unclear rather than shipping anyway
You can context-switch between SQL Python and Omni in the same day
You document as you go not at the end of the project
Compensation & Benefits
Contractor Modality
Compensation paid in US dollars
Participation in innovative high-impact initiatives
People-centric culture with autonomy and continuous learning
10 days PTO
Observe all holidays in your country
Compensation & Benefits
Contractor Modality
Compensation paid in US dollars
Participation in innovative high-impact initiatives
People-centric culture with autonomy and continuous learning
10 days PTO
Observe all holidays in your country
What were looking for Data / Reporting Analyst (Only candidates from Latin America) About us Archie Labs builds smarter software by combining AI and expert human teams. We help companies move from concept to production-ready systems faster using agentic AI AI-powered product discovery and strong eng...
What were looking for Data / Reporting Analyst(Only candidates from Latin America)
About us
Archie Labs builds smarter software by combining AI and expert human teams. We help companies move from concept to production-ready systems faster using agentic AI AI-powered product discovery and strong engineering execution.
At Archie Labs youll work in a people-first environment built around autonomy ownership and continuous learningpartnering closely with clients and technical teams to deliver real solutions not just plans.
About the Role
We are looking for a Data / Reporting Analyst who can move fast without sacrificing quality. This is a hands-on contract role where you will be expected to design build and validate dashboards and data pipelines from day one.
The right person for this role is equally comfortable writing SQL at 9am deploying an Omni dashboard by noon and running a full test suite before the end of day. Speed and rigor are not trade-offs here they are both required.
Responsabilities
Dashboard Development and Delivery
Design and build production-ready Omni dashboards rapidly from requirements to deployment within compressed timelines
Translate business questions from stakeholders into clear actionable visual reports without requiring multiple revision cycles
Develop and maintain self-service reporting assets that non-technical users can navigate and trust
Integrate dashboards with live data sources including Databricks SQL data warehouses and SharePoint/M365 environments
Manage the Omni semantic layer: define and maintain consistent metrics dimensions and business logic across all reporting surfaces
Data Quality and Testing
Build and execute comprehensive test suites for every data pipeline and dashboard before any report goes to a stakeholder
Write data validation scripts in Python (pandas) to verify row counts nulls duplicates referential integrity and value ranges
Establish and maintain a regression testing framework so that changes to upstream data or models do not silently break downstream reports
Document test coverage and test results as part of every delivery with sign-off required before production release
Flag and escalate data quality issues immediately with clear impact assessments and proposed remediation paths
Conduct peer review of SQL queries and dashboard logic to catch errors before they reach end users
Data Engineering and Pipeline Support
Write optimized SQL against Databricks and equivalent cloud data warehouse platforms
Build and maintain data transformation logic in Databricks using Python and Spark
Develop reusable Python/pandas scripts for data profiling cleansing and ad hoc analysis
Support the data architecture team in documenting data flows table definitions and transformation logic
Collaboration and Documentation
Work directly with the CIO and business stakeholders to prioritize and scope reporting requirements
Maintain clear up-to-date documentation for all dashboards data models and testing procedures in SharePoint
Participate in sprint reviews flagging blockers early and communicating progress against committed timelines
Required Qualifications
3-5 years in a data analyst or BI role
Dashboards: Omni (primary dashboards semantic layer self-service) Power BI (legacy in transition)
Data Platform: Databricks (transformation ELT) cloud data warehouse (SQL)