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Data Analyst

Pula · NA, Kenya · Remote · Active · BambooHR

Job facts

FieldValue
CompanyPula
TitleData Analyst
Normalized title-
Department / teamField Operations
LocationNA
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-02-25 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Pula.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in NA.Open
Department jobsActive postings in Field Operations.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPula
Source53209d7b-80a6-4948-84f6-080a2d080ab1
ATS providerBambooHR

Description

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

Full job record

Job IDd731aeecc6918c6ffef4bad17dd29d38c81ce314
Org IDfb167029-a108-4f6b-b674-30cac07073fb
Source ID53209d7b-80a6-4948-84f6-080a2d080ab1
Board ID53209d7b-80a6-4948-84f6-080a2d080ab1
Providerbamboohr
Provider Job Key239
TitleData Analyst
Normalized Title—
Statusactive
Activeyes
Location TextNA, Kenya
DepartmentField Operations
Team—
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
Country—
Region—
CityNA
Salary Raw—
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://pula.bamboohr.com/careers/239
Apply URLhttps://pula.bamboohr.com/careers/239
First Seen At2026-05-30 05:49:01Z
Last Seen At2026-06-06 10:22:29Z
Last Checked At2026-06-06 10:22:29Z
Last Changed At2026-05-30 05:49:01Z
Inactive At—
Source Posted At2026-02-25 00:00:00Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=pula/date=2026-06-06/2026-06-06T10-22-28-654Z-ecf949fe619d8feb8c9c08a3c8f086360ac50e6c7944c307bf9c747037f6b670.json
Event Fields
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    "description": "<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">ROLE OVERVIEW</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">KEY RESPONSIBILITIES</span></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">A. Project Leadership (Assigned Projects)</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Lead end-to-end execution of assigned agricultural data projects, from data quality checks through final client deliverables.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Create and monitor data quality checks using established DQC frameworks, ensuring data integrity across all project phases.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Produce project-specific reports, analyses, and  dashboards for client and internal consumption.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Manage and assign daily tasks to one Junior Data Analyst, ensuring timely completion and quality of work.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Step in to execute DQCs directly when necessary.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Own all client-facing deliverables for assigned projects (subject to peer and management review).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Manage field team orientation and training on DQC frameworks for assigned projects.</span></li>\n<li><br></li>\n</ul>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">B. Analytics &amp; Dashboarding Standards (Cross-Team)</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design and build Amazon QuickSight dashboards for all team projects, regardless of project lead assignment.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Create and maintain reusable dashboard templates, visualization standards, and reporting best practices.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Define and enforce formatting standards for all team reports and client-facing analytics outputs.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Peer-review reports and visualizations produced by other team analysts to ensure consistency and quality.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Serve as the team’s final authority on analytics and dashboard quality standards.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintain the Analytics &amp; Reporting Knowledge Base as a living resource for the team.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Train the entire team on QuickSight and visualization tools and best practices.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build automated reporting pipelines to reduce manual effort and improve consistency.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">C. Review &amp; Mentoring</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Review DQC execution, reports, and analyses produced by peer analyst on their projects. </span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Accept reciprocal review of your own work by the Associate Manager or peer analyst.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Directly mentor the Junior Data Analysts.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">REQUIRED QUALIFICATIONS</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Bachelor’s degree in Data Science, Statistics, Computer Science, Actuarial Science, Economics, or a related quantitative field.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">3+ years of experience in data analysis, business intelligence, or a related analytical role. </span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Demonstrated proficiency in SQL and at least one programming language (Python or R) for data manipulation and analysis.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Hands-on experience building dashboards and visualizations using BI tools (Amazon QuickSight, Tableau, Power BI, or similar).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong understanding of data quality principles, validation logic, and data cleaning workflows.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience producing client-facing reports and analytical deliverables with high attention to detail.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Excellent written and verbal communication skills, with the ability to translate complex data into clear insights.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">PREFERRED QUALIFICATIONS</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience in agricultural data, insurance, remote sensing, or development sector analytics.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with Amazon QuickSight specifically (templates, calculated fields, parameters).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with geospatial data or tools (QGIS, GeoPandas, Google Earth Engine).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Track record of creating reusable templates, SOPs, or knowledge base documentation for analytics teams.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience mentoring or supervising junior analysts.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with survey design tools (ODK, SurveyCTO, KoboToolbox) and field data collection workflows.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">KEY COMPETENCIES</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Analytical Rigor: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to identify data anomalies, design validation rules, and ensure accurate outputs.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Visual Communication: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Skill in designing intuitive dashboards and visualizations that drive decision-making.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Ownership Mindset: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proactive accountability for deliverable quality and team standards.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Collaboration: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Willingness to peer-review, share knowledge, and contribute to a culture of continuous improvement.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Mentoring &amp; Leadership: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to guide junior team members, provide constructive feedback, and build capability.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(26, 154, 239); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">PERFORMANCE INDICATORS</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">On-time delivery of client-facing dashboards and reports for assigned projects.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Dashboard adoption and client satisfaction scores.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Quality and completeness of Analytics &amp; Reporting Knowledge Projects.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Timeliness and thoroughness of peer reviews conducted on team deliverables.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><span style=\"color: rgb(26, 154, 239); font-family: Inter, sans-serif; font-size: 10pt; font-weight: bold\">To learn more about Pula:</span><br><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">●<span> </span><span style=\"font-weight: bold\">TED Talk</span>: Crop Insurance, an Idea Worth Seeding</span><br><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">●<span style=\"font-weight: bold\"><span> </span>New York Times</span>: He Grew up on a Farm. Now, He Helps Protect Them</span><br><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">●<span> </span><span style=\"font-weight: bold\">The Economist:</span><span> </span>The Poor, Who Most Need Insurance, Are Least Likely to Have It</span></span></p>",
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