{"id":2076114,"url":"https://alion.io/job/sourcefit-data-analyst","title":"Data Analyst","company":{"id":50085,"name":"Sourcefit","domain":"sourcefit.com","url":"https://alion.io/company/sourcefit","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Quezon City, Philippines"],"countries":["PH"],"hiring_countries":["PH"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":28000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1422},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Sisense","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-10-08T07:37:14Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T18:52:04Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Position Summary\nThe Data Analyst will transform raw marketplace data into accurate, meaningful insights that support business decisions across commercial, supplier, and operations teams. Reporting to the Senior Data Analyst, the role will be responsible for maintaining recurring reports, conducting ad hoc analysis, developing dashboards, and creating visualizations that help leadership monitor platform performance and identify opportunities for improvement. This role is ideal for an early-career analyst with strong SQL skills, a curious and analytical mindset, and a desire to develop their data analytics skills in a fast-paced, data-driven marketplace environment.\nJob Details\nWork-from-home\nMonday to Friday, 8:30 PM - 5:30 AM Manila Time\nWill follow US holidays\nResponsibilities\nWrite and maintain SQL queries in Snowflake to pull, join, and aggregate spend, catalog, supplier, and order data \nTransform messy source data into clean, documented, reusable tables and views \nBuild and maintain dashboards in Sisense and Tableau that track GMV, supplier performance, take rate, and catalog coverage \nAnswer ad hoc questions from Supplier GTM, BD, Customer Relations, and Operations, turning vague asks into scoped analyses \nValidate data quality, reconcile numbers across sources, and flag discrepancies before they reach stakeholders \nPresent findings in clear charts and short written summaries for non-technical audiences \nDocument query logic, table definitions, and metric calculations so work is repeatable \nSupport the Senior Data Analyst on larger analytics projects and gradually take ownership of workstreams \nQualifications\n2 to 3 years of experience in a data analyst, BI, or similar role (strong internships count) \nStrong SQL: joins, CTEs, window functions, aggregations, and debugging someone else's query \nHands-on experience with at least one BI tool (Tableau, Sisense, Power BI, Looker) and a good eye for chart choice and dashboard layout \nExperience cleaning and transforming data, whether in SQL, Python (pandas), or Excel \nComfort with a cloud data warehouse such as Snowflake \nAttention to detail: you check your numbers before you share them \nClear written and verbal communication, including explaining results to non-technical colleagues \nBachelor's degree in a quantitative field (statistics, economics, computer science, engineering, math) or equivalent experience \nNice to have\nPython for data 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