{"id":2812600,"url":"https://alion.io/job/uzabase-lead-data-analyst","title":"Lead Data Analyst","company":{"id":4446907,"name":"Uzabase","domain":"uzabaseglobal.com","url":"https://alion.io/company/uzabase-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Colombo, Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":29000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":702},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"LLM","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-22T04:54:32Z","employer_posted_date":null,"last_verified_at":"2026-09-22T04:54:32Z","board_verified":false,"closed_at":null,"days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"Our Mission\n\nWe guide business people to insights that change the world. We provide a foundation of intelligence that supports the needs of businesses and businesspeople. We analyze, organize, and create global information so you can make the right decisions at the right time, unleashing your creative and innovative potential.\n\nUzabase Group has offices in China, Japan, Singapore, Sri Lanka, and the US.\n\nLead Data Analyst - Global Data Team\n\nCore Responsibilities\n\nOwn and run validation pipelines for financial and firmographic data from multiple vendors and databases\n\nAcquire and create new datasets by extracting and processing data from varied sources (websites, APIs, unstructured documents) and building and maintaining automated pipelines that reduce manual data collection\n\nAutomate business functions by working with cross-functional teams to design and deliver domain-specific automation solutions that leverage large language models (LLMs) where they add real value\n\nCommunicate findings and progress clearly to both technical and non-technical stakeholders\n\nQualifications and Experience\n\n3-4 years of experience in data analytics, data operations, or a related field\n\nExperience in a financial services firm or hands-on experience with financial data is preferred\n\nBachelor's degree in Computer Science, Data Science, or a related field\n\nA degree in Finance, Business, Economics, or a similar discipline or a professional qualification, such as CFA, ACCA, or CIMA (completed or in progress), is preferred\n\nProven experience working with structured and unstructured data across multiple sources\n\nExperience with databases (MySQL, PostgreSQL, or similar) and data retrieval techniques such as web scraping\n\nDesired Skills\n\nWeb scraping, data extraction tools, or automation scripting using Python\n\nFamiliarity with ML concepts and practical application of AI/LLM tools in a business context\n\nStrong problem-solving skills with a keen eye for data quality and operational detail Experience in the financial data or business intelligence domain\n\nLanguage Skills\n\nFluency in English - 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