PULA

Data Analyst

PULA

full-time

Posted on:

Location Type: Hybrid

Location: Anywhere in North America

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Tech Stack

PythonSQLTableau

About the role

  • Lead end-to-end execution of assigned agricultural data projects, from data quality checks through final client deliverables.
  • Create and monitor data quality checks using established DQC frameworks, ensuring data integrity across all project phases.
  • Produce project-specific reports, analyses, and dashboards for client and internal consumption.
  • Manage and assign daily tasks to one Junior Data Analyst, ensuring timely completion and quality of work.
  • Step in to execute DQCs directly when necessary.
  • Own all client-facing deliverables for assigned projects (subject to peer and management review).
  • Manage field team orientation and training on DQC frameworks for assigned projects.
  • Design and build Amazon QuickSight dashboards for all team projects, regardless of project lead assignment.
  • Create and maintain reusable dashboard templates, visualization standards, and reporting best practices.
  • Define and enforce formatting standards for all team reports and client-facing analytics outputs.
  • Peer-review reports and visualizations produced by other team analysts to ensure consistency and quality.
  • Serve as the team’s final authority on analytics and dashboard quality standards.
  • Maintain the Analytics & Reporting Knowledge Base as a living resource for the team.
  • Train the entire team on QuickSight and visualization tools and best practices.
  • Build automated reporting pipelines to reduce manual effort and improve consistency.
  • Review DQC execution, reports, and analyses produced by peer analysts on their projects.
  • Accept reciprocal review of your own work by the Associate Manager or peer analyst.
  • Directly mentor the Junior Data Analysts.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Actuarial Science, Economics, or a related quantitative field.
  • 3+ years of experience in data analysis, business intelligence, or a related analytical role.
  • Demonstrated proficiency in SQL and at least one programming language (Python or R) for data manipulation and analysis.
  • Hands-on experience building dashboards and visualizations using BI tools (Amazon QuickSight, Tableau, Power BI, or similar).
  • Strong understanding of data quality principles, validation logic, and data cleaning workflows.
  • Experience producing client-facing reports and analytical deliverables with high attention to detail.
  • Excellent written and verbal communication skills, with the ability to translate complex data into clear insights.
Benefits
  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisbusiness intelligenceSQLPythonRdata quality principlesdata validation logicdata cleaning workflowsdashboard buildingdata manipulation
Soft Skills
leadershipcommunicationmentoringattention to detailteam managementtask assignmentpeer reviewtraininganalytical thinkingclient-facing communication