SWITS DIGITAL Private Limited

Enterprise Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Enterprise Data Analyst, offering a contract length of "unknown" at a pay rate of "unknown." Remote work is available. Key skills include data modeling, SQL, and experience with data warehousing and Agile environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Datasets #Scala #Data Pipeline #Data Analysis #Looker #Agile #Data Modeling #"ETL (Extract #Transform #Load)" #Tableau #SQL (Structured Query Language) #Snowflake #Redshift #ML (Machine Learning) #Data Engineering #Microsoft Power BI #Synapse #BigQuery #Data Quality #BI (Business Intelligence) #Data Science
Role description
Greetings from Smartwork IT Services! We are seeking an experienced Senior Enterprise Data Analyst to design and deliver enterprise-level data and analytics solutions, partnering with business, data engineering, and data science teams to enable high-quality, scalable, and self-service data products. Responsibilities • Deliver complex data solutions following best practices in data analysis, modeling, and architecture • Design and maintain enterprise data models and architecture artifacts • Translate business requirements into analytics and data solutions • Develop data models and transformation logic • Partner with data engineers to build and optimize data pipelines • Define and enforce data quality standards • Enable KPI reporting and self-service analytics • Support data science and ML initiatives with analytics-ready datasets Requirements • Senior-level experience in data analytics or enterprise data roles • Strong expertise in data modeling and SQL • Hands-on experience with data warehousing and data pipelines • Proven stakeholder and cross-functional collaboration skills • Experience working in Agile environments Preferred • Experience with cloud data platforms (Snowflake, Redshift, BigQuery, Synapse) • Experience with BI tools (Power BI, Tableau, Looker)