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Data Analyst
Pula Advisors
IT, Data Science
Nashville, TN, USA
Posted on Feb 25, 2026
ROLE OVERVIEW
The Data Analyst serves as a full-stack project lead responsible for independently managing agricultural data projects end-to-end, while also owning cross-team analytics, reporting, and dashboarding standards. This is a dual-mandate role: you will lead your own projects (running data quality checks, producing analyses, delivering client-facing reports and dashboards) and simultaneously define what excellent analytics and visualization looks like across the entire team.
This role is ideal for a data professional who combines strong analytical skills with a passion for visual storytelling and a desire to shape team-wide standards and mentor junior talent.
KEY RESPONSIBILITIES
A. Project Leadership (Assigned Projects)
- 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.
B. Analytics & Dashboarding Standards (Cross-Team)
- 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.
C. Review & Mentoring
- Review DQC execution, reports, and analyses produced by peer analyst on their projects.
- Accept reciprocal review of your own work by the Associate Manager or peer analyst.
- Directly mentor the Junior Data Analysts.
REQUIRED QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- Experience in agricultural data, insurance, remote sensing, or development sector analytics.
- Familiarity with Amazon QuickSight specifically (templates, calculated fields, parameters).
- Experience with geospatial data or tools (QGIS, GeoPandas, Google Earth Engine).
- Track record of creating reusable templates, SOPs, or knowledge base documentation for analytics teams.
- Experience mentoring or supervising junior analysts.
- Familiarity with survey design tools (ODK, SurveyCTO, KoboToolbox) and field data collection workflows.
KEY COMPETENCIES
- Analytical Rigor: Ability to identify data anomalies, design validation rules, and ensure accurate outputs.
- Visual Communication: Skill in designing intuitive dashboards and visualizations that drive decision-making.
- Ownership Mindset: Proactive accountability for deliverable quality and team standards.
- Collaboration: Willingness to peer-review, share knowledge, and contribute to a culture of continuous improvement.
- Mentoring & Leadership: Ability to guide junior team members, provide constructive feedback, and build capability.
PERFORMANCE INDICATORS
- On-time delivery of client-facing dashboards and reports for assigned projects.
- Dashboard adoption and client satisfaction scores.
- Quality and completeness of Analytics & Reporting Knowledge Projects.
- Timeliness and thoroughness of peer reviews conducted on team deliverables.
To learn more about Pula:
● TED Talk: Crop Insurance, an Idea Worth Seeding
● New York Times: He Grew up on a Farm. Now, He Helps Protect Them
● The Economist: The Poor, Who Most Need Insurance, Are Least Likely to Have It