Senior Data Analyst
New
J
JobgetherData Analytics
Based in Brazil, Standard US business hours (any 8-hour shift between 9:00 AM and 8:00 PM EST)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- SQLArtificial IntelligenceBusiness IntelligenceSalesforceTableauData visualizationData modelingdbt
Requirements
- 4+ years of professional experience in data analytics, business intelligence, or a related technical field.
- Experience in Finance, FinTech, Business Operations, or Retention analytics.
- Advanced SQL skills for complex queries and data investigation.
- Strong experience with data transformation and modeling using dbt.
- Hands-on expertise with BI and data visualization platforms like Sigma or Tableau.
- Proven experience building and maintaining end-to-end data models and pipelines.
- Ability to develop and own dashboards and reporting suites.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder-management skills.
- Demonstrated ability to use AI for workflow automation and analysis acceleration.
- Experience working in a fast-paced, high-growth environment.
- Ability to work during standard US business hours (9:00 AM – 8:00 PM EST).
Responsibilities
- Own Finance and Post-Sales analytics, developing and maintaining the reporting layer that connects Sales, Post-Sales, and customer lifecycle data.
- Partner with Finance and senior leadership to define, validate, and maintain key metrics used for board reporting, annual planning, and monthly or quarterly business reviews.
- Build a consistent end-to-end view of the customer journey while resolving discrepancies in metric definitions across teams.
- Own external partnership reporting from requirements gathering through delivery, including customer-facing dashboards.
- Translate partner data requirements into reliable data models and dashboards.
- Build, automate, and maintain dashboards and reports using BI platforms like Sigma and Tableau.
- Develop and maintain end-to-end data models and pipelines that provide trusted sources of truth.
- Identify opportunities to use AI to automate repetitive workflows and accelerate analysis.
- Communicate complex analytical findings to stakeholders.
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