

Senior Data Analyst - (Plano, TX /Irvine, CA) Hybrid - W2 Role
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
May 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
Plano, TX
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π§ - 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’ Bachelorβs 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.
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’ Bachelorβs 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.