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Data Analyst Enterprise Operations

Job in Los Gatos, Santa Clara County, California, 95032, USA
Listing for: Akraya, Inc.
Full Time, Contract position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60 - 65 USD Hourly USD 60.00 65.00 HOUR
Job Description & How to Apply Below
Position: Data Analyst for Enterprise Operations: 26-00807

Job Details

  • Contract Type: W2
  • Duration: 6+ Months with possible extension
  • Location:

    Los Gatos, CA (Hybrid)
  • Pay Range: $60 - $65 per hour on W2
Primary Skills
  • SQL - Advanced
  • Python - Intermediate
  • Tableau - Advanced
  • ETL - Expert
  • API Integration - Intermediate
Job Summary

We are seeking a Data Analyst skilled in data engineering, particularly focused on ETL processes, data integration, and analytics platforms. The ideal candidate will be proficient in developing and implementing data pipelines, ensuring the effective integration and enrichment of diverse data sets into our data lake, and designing comprehensive data visualizations particularly in Tableau. This role will contribute significantly to documenting and governing data processes across Enterprise Operations.

Key Responsibilities
  • Identify and evaluate diverse data sources for quality, structure, and integration capabilities.
  • Develop and execute data extraction and ingestion pipelines for efficient data transfer into a data lake.
  • Clean, normalize, and standardize data to enable unified querying and analysis.
  • Enrich Enterprise Operations data with contextual internal and external information.
  • Document data processes, build integration solutions for data lakes, and assist in establishing data governance practices.
Must-Have Skills
  • Strong proficiency in SQL and Python for building ETL workflows.
  • Expertise in data visualization with Tableau.
  • Experience with cloud data lake environments (AWS, Azure, GCP).
Industry Experience
  • Familiarity with commercial real estate, finance/accounting, or workplace-related data is beneficial but not required.
Location
  • Prefer candidates available for hybrid work in LG office.
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