Data Analyst

Posted 29 Days Ago
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Quezon City, Metro Manila, National Capital Region, PHL
In-Office
Junior
Information Technology • Other • Professional Services • Consulting
The Role
Analyze marketplace data using SQL and Snowflake, transform raw data into reusable tables, and maintain dashboards in Sisense and Tableau. The role validates data quality, reconciles discrepancies, answers ad hoc business questions, documents metrics, and presents insights to non-technical stakeholders. It supports commercial, supplier, customer relations, and operations teams while gradually taking ownership of analytics workstreams.
Summary Generated by Built In

Position Summary 

The 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. 

Job Details 

Work-from-home 

Monday to Friday, 8:30 PM – 5:30 AM Manila Time 

Will follow US holidays 

Responsibilities 

  • Write and maintain SQL queries in Snowflake to pull, join, and aggregate spend, catalog, supplier, and order data 
  • Transform messy source data into clean, documented, reusable tables and views 
  • Build and maintain dashboards in Sisense and Tableau that track GMV, supplier performance, take rate, and catalog coverage 
  • Answer ad hoc questions from Supplier GTM, BD, Customer Relations, and Operations, turning vague asks into scoped analyses 
  • Validate data quality, reconcile numbers across sources, and flag discrepancies before they reach stakeholders 
  • Present findings in clear charts and short written summaries for non-technical audiences 
  • Document query logic, table definitions, and metric calculations so work is repeatable 
  • Support the Senior Data Analyst on larger analytics projects and gradually take ownership of workstreams 

Qualifications 

  • 2 to 3 years of experience in a data analyst, BI, or similar role (strong internships count) 
  • Strong SQL: joins, CTEs, window functions, aggregations, and debugging someone else's query 
  • Hands-on experience with at least one BI tool (Tableau, Sisense, Power BI, Looker) and a good eye for chart choice and dashboard layout 
  • Experience cleaning and transforming data, whether in SQL, Python (pandas), or Excel 
  • Comfort with a cloud data warehouse such as Snowflake 
  • Attention to detail: you check your numbers before you share them 
  • Clear written and verbal communication, including explaining results to non-technical colleagues 
  • Bachelor's degree in a quantitative field (statistics, economics, computer science, engineering, math) or equivalent experience 

Nice to have 

  • Python for data wrangling or automation 
  • Experience with dbt or another transformation framework 
  • Exposure to marketplace, ecommerce, or procurement data (GMV, take rate, supplier and buyer metrics) 
  • Familiarity with life sciences, lab supplies, or B2B purchasing 
  • Experience with CRM data such as HubSpot or Salesforce 
  • Comfort using AI tools to speed up querying and analysis 

Skills Required

  • 2 to 3 years of experience in a data analyst, business intelligence, or similar role; strong internships count
  • Strong SQL skills, including joins, CTEs, window functions, aggregations, and query debugging
  • Hands-on experience with at least one business intelligence tool, such as Tableau, Sisense, Power BI, or Looker
  • Experience cleaning and transforming data using SQL, Python with pandas, or Excel
  • Comfort using a cloud data warehouse such as Snowflake
  • Strong attention to detail and data validation skills
  • Clear written and verbal communication skills, including explaining results to non-technical colleagues
  • Bachelor's degree in statistics, economics, computer science, engineering, mathematics, or equivalent experience
  • Python experience for data wrangling or automation
  • Experience with dbt or another transformation framework
  • Exposure to marketplace, ecommerce, or procurement data
  • Familiarity with life sciences, laboratory supplies, or B2B purchasing
  • Experience with CRM data such as HubSpot or Salesforce
  • Comfort using AI tools to accelerate querying and analysis

Sourcefit Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sourcefit and has not been reviewed or approved by Sourcefit.

  • Healthcare Strength — Health and dental insurance are described as strong, with coverage extending to dependents in many cases. Feedback suggests this medical coverage is a standout element that elevates total compensation.
  • Wellbeing & Lifestyle Benefits — Flexible hours, hybrid or fully remote options, and emphasis on work-life balance are highlighted as core strengths. Feedback suggests these arrangements support mental-health awareness and overall satisfaction.
  • Fair & Transparent Compensation — Pay is considered competitive or good by many when incentives, allowances, and comprehensive benefits are factored in. Feedback suggests overall compensation can feel solid relative to alternatives, though experiences vary by role and location.

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The Company
HQ: Quezon City
2,000 Employees

What We Do

Sourcefit is a business process outsourcing (BPO) company that provides custom offshore staffing solutions and managed services to help clients build lasting value in their outsourced teams.

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