Senior Data Analyst - (Plano, TX /Irvine, CA) Hybrid - W2 Role

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in Plano, TX or Irvine, CA, on a 6-month contract to hire. Requires a Bachelor's degree, strong SQL skills, cloud platform experience, and data visualization proficiency. Preferred certifications and big data knowledge are advantageous.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 20, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Fixed Term
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#GIT #Snowflake #BI (Business Intelligence) #ML (Machine Learning) #Data Quality #Dataflow #Tableau #SQL (Structured Query Language) #Azure #Classification #Delta Lake #Programming #Looker #Data Engineering #Cloud #Visualization #Data Lakehouse #Big Data #Data Governance #AWS (Amazon Web Services) #Apache Spark #Consul #Computer Science #Microsoft Power BI #Python #Data Lake #Data Analysis #Data Processing #Spark (Apache Spark) #Version Control #GCP (Google Cloud Platform) #Scala #R
Role description
Sr. Data Analyst Term: 6-month contract to hire Location - Plano, TX (Hybrid, 2 days/week) or Irvine, CA (Hybrid, 2 days/week) Skills Required β€’ Bachelor’s degree in computer science, Information Systems, or a related field. β€’ Strong experience in business systems analysis or data analysis roles. β€’ Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala). β€’ Experience with cloud platforms (AWS, Azure, or GCP) and their data services. β€’ Experience with data visualization tools (e.g., Tableau, Power BI, or Looker). β€’ Proven experience in data quality management and improvement initiatives. β€’ Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate). β€’ Preferred experience with data governance and data quality tools. β€’ Preferred experience with version control systems (e.g., Git) and CI/CD pipelines. β€’ The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. β€’ They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job. β€’ Ability to create use cases, functional, and technical requirements. β€’ Familiarity with data Lakehouse concepts and technologies (e.g., Delta Lake, Snowflake). β€’ Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow). β€’ Preferred knowledge of machine learning concepts and their applications in business. β€’ Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis) β€’ Strong consultative and advisory skills.