Outsourcey

Data Analyst

Outsourcey

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

Amazon RedshiftBigQueryETLNumpyPandasPythonScikit-LearnSQLTableau

About the role

  • Analyze large and complex datasets from multiple sources to uncover trends, patterns, and actionable insights that drive strategic business decisions.
  • Develop, maintain, and optimize interactive dashboards and automated reports using BI tools (e.g., Power BI, Tableau, Looker) to monitor KPIs and performance metrics.
  • Write, optimize, and troubleshoot advanced SQL queries for data extraction, transformation, and analysis across relational databases and data warehouses.
  • Perform data cleaning, validation, and transformation processes to ensure high levels of data accuracy, consistency, and integrity.
  • Partner with cross-functional stakeholders (e.g., marketing, finance, product, operations) to gather requirements, define KPIs, and translate business needs into analytical solutions.
  • Conduct statistical analysis, forecasting, and predictive modeling to support planning, budgeting, and growth initiatives.
  • Identify opportunities to automate recurring reports and improve data workflows to enhance efficiency and reduce manual effort.
  • Present analytical findings through clear data visualizations, storytelling, and executive-ready presentations to support informed decision-making.

Requirements

  • 5+ years of proven experience in data analysis, business intelligence, or a related analytical role within a data-driven environment.
  • Strong proficiency in SQL, including complex joins, CTEs, window functions, and query performance optimization.
  • Advanced Excel skills (e.g., Power Query, Power Pivot, complex formulas) and hands-on experience with BI tools such as Power BI, Tableau, or Looker.
  • Experience with Python or R for data manipulation, statistical analysis, and automation (e.g., pandas, NumPy, scikit-learn).
  • Solid understanding of statistical methods, hypothesis testing, regression analysis, and data modeling concepts.
  • Experience working with large-scale datasets, data warehouses (e.g., Snowflake, BigQuery, Redshift), and ETL processes.
  • Strong analytical thinking, attention to detail, and excellent communication skills with the ability to present insights to both technical and non-technical stakeholders.
Benefits
  • Competitive salary
  • Opportunity to shape the HR function of a rapidly growing BPO.
  • Work closely with a team of industry leaders who have successfully scaled BPOs in the past.
  • Career growth and development opportunities.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisbusiness intelligenceSQLExcelPythonRstatistical analysisdata modelingETL processesdata cleaning
Soft Skills
analytical thinkingattention to detailcommunication skillsstorytellingcollaborationproblem-solvingpresentation skillsstrategic thinkingrequirement gatheringdecision-making