{"id":3981116,"url":"https://alion.io/job/community-empowerment-lab-senior-data-analyst","title":"Senior 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":"senior","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","Varanasi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":true},{"name":"ggplot2","optional":true},{"name":"Machine Learning","optional":true},{"name":"Matplotlib","optional":true},{"name":"MySQL","optional":true},{"name":"Python","optional":true},{"name":"R","optional":true},{"name":"SPSS","optional":true},{"name":"SQL","optional":true},{"name":"Stata","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-09T19:35:50Z","employer_posted_date":null,"last_verified_at":"2026-11-09T19:35:50Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"CEL is now looking for Senior Data Analysts. We are building a dedicated analyst team to gather deep, high-quality insights on maternal and child indicators influencing adverse health outcomes from implementation research and randomized control trials. This will entail the generation of large amounts of primary quantitative data that will need to be organized and analyzed for decision-making and solutions. This is where our Data Analysts step in. You will be at the heart of our data center, watching the flow of data and helping to channel it for decision-making.\n\nSince our study area consists of families that have Hindi as their native language, communication in Hindi and local dialect would be desirable. Proficient communication in English would be appreciated for engaging in formal communication, especially with foreign partners and stakeholders.\n\nScope of Work:\nAnalysis plan and dashboard preparation: Prepare the analysis plan document adhering to the study protocol and analysis plan proposed. Identify the dashboard requirements and develop them.\nData collection planning: Collaborate with the research team to define data requirements, sources, and collection methods. Participate in data collection protocols and tools to ensure accurate and reliable data acquisition.\nData cleaning and preprocessing: Conduct data cleaning and preprocessing activities to identify and address errors, outliers, and missing values in the dataset.\nData analysis and interpretation: Conduct advanced statistical analysis and data mining techniques (regression, multivariate, time series, survival, inferential, cluster, classification, etc.) to analyze research data. Interpret findings, identify trends, and derive actionable insights to support research objectives and hypotheses.\nModel development and validation: Develop predictive models, algorithms, and statistical models to analyze complex datasets and forecast future outcomes. Validate model performance and accuracy using appropriate validation techniques.\nData visualization and reporting: Create clear and insightful data visualizations, dashboards, and reports to communicate research findings to stakeholders. Present findings in a compelling and understandable manner to facilitate decision-making.\nQuality improvement of team: Prepare and share regular data findings reports with the project team for continuous improvement of data quality.\nCollaboration and communication: Collaborate with interdisciplinary project teams, including PI, Co-PIs, researchers, project management team, and domain experts, to align data analysis activities with research goals. Communicate technical concepts and findings effectively to non-technical stakeholders.\nProject management support: Provide support to project managers in planning and executing data analysis activities. Track project timelines, milestones, and deliverables to ensure timely completion of analysis tasks.\nContinuous learning and skill development: Stay updated with the latest advancements in data analysis methodologies, tools, and technologies. Continuously enhance technical skills and domain knowledge to improve data analysis capabilities.\nQuality assurance and documentation: Ensure adherence to data quality standards, best practices, and regulatory requirements throughout the data analysis process. Document analysis methodologies, assumptions, and limitations for reproducibility and transparency.\nMentorship and training: Provide guidance and mentorship to junior data analysts and research team members. Conduct training sessions and workshops to share best practices, tools, and techniques in data analysis.\nConsolidate findings, dissemination of results, and manuscript writing: Synthesize research findings into actionable insights, compelling narratives, and data-driven recommendations for the internal team as well as stakeholders. Actively contribute to paper writing and dissemination efforts, ensuring the effective communication of appropriate insights. Support researchers in manuscript writing.\n\nThe Senior Data Analyst leads the analysis and will have significant coaching and mentoring responsibilities for the team.\n\nTravel: Willingness for travel, both locally and out of the city as required.\n\nQualification and Experience:\nFirst Class Post Graduate Degree, including integrated PG degrees, in B.Tech/MCA/M.Sc (Maths/Stats)/Master in Population Science/Master in Public Health/Master in Business Administration with three years of experience OR PhD.\nDiploma in Analytical Sciences will be an advantage.\nICMR age norms will apply; applicants must be age 35 years or below.\nProven experience in large dataset handling and advanced analysis.\nExperience in manuscript writing, publication, and dissemination of research findings in peer-reviewed journals and conferences.\n\nNecessary knowledge and skills:\nGood working knowledge and hands-on experience in advanced data analysis using STATA/SPSS.\nAdvanced skills in data manipulation and programming languages such as Python/R, SQL.\nProficiency in data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot2) to create compelling visualizations and dashboards.\nProficiency in statistical analysis techniques, including hypothesis testing, regression analysis, clustering, and classification.\nExperience with machine learning algorithms, data mining techniques, and predictive modeling.\nKnowledge of database management systems (e.g., SQL Server, MySQL) and proficiency in querying and extracting data from databases.\nStrong analytical and problem-solving skills to tackle complex research questions and data challenges.\nExcellent written and verbal communication skills to convey technical concepts and research findings to diverse audiences.\nAbility to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced research environment.\nKeen attention to detail and commitment to data accuracy and quality assurance.\nUnderstanding of research methodologies, domain-specific concepts, and industry trends relevant to the research project.\nAbility to architect strategy along with leadership skills and capacity building of the data team.\nCompetence to build and effectively manage interpersonal relationships at all levels of the organization.\nExperience working in a research organization is an added advantage.\nExperience in the ethical use of AI tools in research (ChatGPT, etc.).\nSkills\nAnalysis, Data","description_format":"text","description_chars":6453,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-09T19:35:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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