{"id":461081,"url":"https://alion.io/job/pula-data-analyst","title":"Data Analyst","company":{"id":177446,"name":"Pula","domain":"pula-advisors.com","url":"https://alion.io/company/pula","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Kampala, Uganda"],"countries":["UG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":29000,"period":"year","method":null,"sample_n":8885},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-06T00:00:00Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-30T19:44:08Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":85},"description":"About Pula\nAt Pula, we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide.\nWe work in over 19 countries across Africa, Asia and Latin America, and have facilitated crop insurance cover for more than 11 million farmers, approximately 40% of whom are women. Uganda has been part of our operating footprint since our early years, alongside Kenya, Rwanda, Nigeria, Mali, Senegal, Zambia, Ethiopia, Malawi and others.\nPula is fast-paced, constantly adapting to new opportunities and challenges. We are a high-performance, multi-cultural team. We expect our team to value performance, results and professionalism.\nAt Pula, we are:\nObsessed with results: We are responsible for our future and therefore we get things done!\nConnect the Dots: We continuously identify different customer needs & business problems and build solutions that deliver value.\nHave a Can do Attitude!We dare to do things differently to make things work.\nWe have each others’ back: We look out for each other & we share high quality, timely feedback that makes us better.\nPosition Overview\nAs a Data Analyst at Pula, you will play a crucial role in supporting the Analytics & Insights Analysts by ensuring data management and analysis, problem identification, resolution, and the implementation of department strategies. We are looking for highly motivated and data-driven individuals with strong documentation skills, capable of careful, methodical work under supervision.\nThis is a structured graduate programme rather than an unstructured placement. You will join a cohort that is recruited, trained and supported together, with a dedicated Data Analyst as your supervisor throughout.\nThe Programme\nThe first four weeks are a paid induction at our Kampala office, covering data quality control methodology, Pula’s field data pipelines, the analytical toolset, and the agricultural insurance context in which the work sits.\nFrom the fifth week, you move into live project work on one of Pula’s country portfolios, working alongside experienced analysts. The work is consequential: the data you check determines whether farmers are correctly registered and correctly paid.\nPrior professional experience is not required. This is a graduate programme, and we expect to be the first or second employer of most successful applicants. Candidates are assessed on demonstrated capability at the screening stage rather than on length of service.\nKey Responsibilities\nConduct data quality checks on field-collected farmer and farm data following standard operating procedures (SOPs).\nInvestigate and resolve data issues, escalating matters that fall outside your remit.\nIdentify gaps in current data quality check SOPs and suggest improvements.\nEvaluate the effectiveness of newly implemented processes.\nProduce recurring and ad-hoc analysis of field operations performance.\nDocument findings, prepare reports, and make recommendations based on analysis.\nTransform technical results into material suitable for non-technical audiences.\nProvide support to the support desk and field staff when required, ensuring effective communication.\nUtilize data analytics and project knowledge to identify risks and issues within projects.\nKeep your supervising Data Analyst informed by providing regular daily and weekly updates.\nDraft training materials, protocols, and other necessary documents as needed.\nUtilize designated tools and software proficiently as per project requirements.\nEmphasize direct and open communication to address problems and provide feedback constructively.\nDemonstrate honesty and transparency in all aspects of work. Early disclosure of a problem is always preferred to late discovery.\nWho you are\nBachelor’s degree, completed or completing, in Statistics, Quantitative Economics, Economics, Agricultural Economics, Agribusiness Management, Actuarial Science, GeoInformatics, Information Systems, Computer Science or a related quantitative field.\nWorking knowledge of Python or R: you can load an unclean dataset, clean it, summarise it, and explain what you found. This is tested directly at screening stage.\nProficiency with spreadsheets beyond the basics, including pivot tables, lookup functions and conditional logic.\nAbility to communicate complex information effectively through clear writing and excellent verbal communication skills. \nSkilled in collaborating with diverse groups, partners, and colleagues, demonstrating a strong team spirit.\nSelf-driven, able to work independently with minimal supervision.\nEfficiently handle multiple tasks, prioritize work, and meet deadlines effectively.\nCareful and attentive to detail. Data quality work rewards those who notice small discrepancies.\nLegally entitled to work in Uganda.\nAvailable to work from our Kampala office for the first four weeks and on scheduled days thereafter.\nAlso an advantage\nKnowledge of SQL.\nThe second of Python or R.\nProficiency in data visualization tools like Power BI or Tableau.\nStata or SPSS.\nQGIS or other geospatial analysis exposure.\nExperience with ODK, KoboToolbox, SurveyCTO or similar mobile data collection platforms.\nFamiliarity with agriculture, agricultural research, or rural fieldwork.\nEnumeration or field data collection experience of any kind.\nSelection Process\nApplication. Curriculum vitae and structured short-answer questions. Approximately 15 minutes to complete.\nTechnical screening task. A timed take-home exercise: an unclean field dataset, a defined set of quality checks, and a short written summary of your findings. Approximately three hours, completed in your own time within a set window, in Python or R.\nStructured interview. A conversation with a member of the Data Services team covering your submitted task, your approach to problems, and how you work.\nOffer and onboarding. Offer issued, references and right-to-work confirmed, cohort start date agreed.\nWe aim to give every applicant a decision. Candidates who reach the technical screening stage receive feedback on their submission regardless of outcome.\nWhat Pula will bring to the table\nGrowth potential: At Pula, we are building systems that enable farmers worldwide to access insurance, using technology to insure the previously uninsured. We work in over 19 countries across Africa, Asia and Latin America, and have facilitated crop insurance coverage to over 11 million farmers, 40% of which are women. We are for-profit and have raised over $25 million from leading venture and institutional investors as well as developed philanthropic relationships with private foundations and bilateral donors such as the Bill & Melinda Gates Foundation and German Insure Resilience Solutions Fund that have accelerated investments in our target markets.\nMarket Leader: Not only is the opportunity massive, but Pula is by far the market leader in its category.\nSolid: Pula has been funded by leading venture capital investors (Omidyar Network, ACCION, MercyCorps) and global philanthropic investors (Mastercard Foundation, CGAP/World Bank as well as the Bill and Melinda Gates Foundation). Pula closed an oversubscribed $20m series B funding despite the economic downturn.\nRespected: Winner of the Singapore FinTech Festival 2019, Winner of The InsureTech of the Award, Africa. Featured on TED talks, The New York Times, and The Economist.\nA structured start: Four weeks of formal induction followed by supervised live project work, with a named supervising Data Analyst and defined development objectives. This is a deliberate pipeline into permanent Data Analyst roles at Pula, and performance during the programme is the route to appointment.\nImpact and creation: This is a high-impact role that offers a unique opportunity to bring the company to the next level, whilst developing new strategies, approaches, and ideas.\nLeadership: The founders & CEO foster a culture of transparency, respect, high performance, pragmatism, execution and personal development.\nPurpose: It is rare to find a professional opportunity that offers accelerated professional development and a life purpose. Pula is going through a second phase of accelerated growth that will naturally provide professional development, whilst contributing to the financial stability of small-scale farmers in the emerging markets.\nTo learn more about Pula:\nTED Talk: Crop Insurance, an Idea Worth Seeding\nNew York Times: He Grew up on a Farm. Now, He Helps Protect Them\nThe Economist: The Poor, Who Most Need Insurance, Are Least Likely to Have It","description_format":"text","description_chars":8574,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Insurance coverage","Professional development"],"hiring_locations":[{"name":"Uganda","iso":"UG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AgTech","InsurTech"],"lifecycle":[{"event":"open","at":"2026-09-06T11:00:38Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.27,"p_room":0.28,"age_days":85,"expected_fill_days":22,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/pula-data-analyst","json_url":"https://alion.io/job/pula-data-analyst.json","meta":{"generated_at":"2026-10-30T22:05:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12678,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":177446},"rest":"https://alion.io/mcp/rest/get_company?id=177446"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpula-data-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpula-data-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpula-data-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pula-data-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpula-data-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":461081}},{"tool":"search_jobs","arguments":{"company":"pula-advisors.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":461081},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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