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Data AnalystFlourish Ventures • Nashville, Tennessee, United States
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Data Analyst

Flourish Ventures
  • US
    Nashville, Tennessee, United States
  • US
    Nashville, Tennessee, United States
Jetzt Bewerben

Über

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.
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  • Nashville, Tennessee, United States

Sprachkenntnisse

  • English
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