{"id":3977974,"url":"https://alion.io/job/community-empowerment-lab-data-analyst","title":"Data Analyst","company":{"id":4529048,"name":"Community Empowerment Lab","domain":"celworld.org","url":"https://alion.io/company/community-empowerment-lab","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lucknow, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Shiny","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Do you believe that numbers can save lives, and want to turn data into real-world impact?\n\nYour Role:\n\nAs a Data Analyst, you will help analyse complex datasets from research studies and programs, derive insights and communicate findings with compelling visualisations. You will work closely with the Team Lead of the unit, research and program teams.\n\nYou will:\nIdentify available datasets to answer relevant research and programmatic questions\nClean, manage, and analyse research datasets, as well as large, messy programmatic datasets\nConduct regression analyses, risk modelling, survival analysis, and other statistical methods\nIdentify early warning signals and leading indicators of maternal and newborn risk\nSupport rapid-cycle evaluations and real-time decision-making\nGenerate simple, intuitive dashboards, visualisations and analytical summaries\nSynthesise findings for diverse audiences, including researchers, program teams, and policymakers\nCollaborate with qualitative, implementation, and research teams to contextualise results\nContribute to building a culture of analytical rigour, truthfulness, and learning\n\nWho You Are:\n\nYou may come from statistics, public health with a Master's/Bachelor's degree, data science, economics, epidemiology, or any field that has trained you to think analytically and use statistical and analytical tools to solve problems with clarity.\n\nWe expect that you:\nAre a self-starter, with a demonstrated ability to frame analytical questions independently and select appropriate statistical approaches to answer them from a given dataset\nHave strong grounding in statistics, including regression, GLMs, causal thinking, risks and probabilities, survival analysis, multilevel modelling, etc.\nAre fully comfortable working in R and/or Python, and able to write reproducible, well-documented code\nHave experience cleaning and analysing large, messy, real-world datasets\nUnderstand missing, bias, confounding, and limitations of observational data\nCan communicate complex analyses in simple, meaningful ways\nAre familiar with dashboard tools like Shiny, Dash, etc.\nAre willing to learn emerging analytical approaches, including AI-assisted workflows\nAre curious, disciplined, meticulous, thoughtful, and willing to learn continuously\nBring humility, empathy, and respect for lived experience\nHave a genuine desire to make a difference in maternal-newborn health\n\nNice to have:\nExperience with analysing data from RCTs, large national surveys, health systems data would be a bonus\n\nYou enjoy this role if you:\nLike working in complex systems where patterns emerge through exploration\nOften ask yourself questions like: \"What is the story behind this data?\"\nFeel comfortable with ambiguity and imperfect data\nThrive in collaborative, cross-disciplinary teams\nAre energised by the idea that your analysis might save a baby's life next week?\nBelieve that science becomes powerful when joined with compassion\nSkills\nPython, R, Regression, 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