Business Analyst - SnowSql and SAS
Salary undisclosed
Checking job availability...
Original
Simplified
We are seeking a skilled Business Analyst to work remotely from anywhere in the US as a member pf the DataOps team within the Division of Data Management and Research for our Austin, Texas client. This role supports the Data Hubs Initiative, a major multi-year effort to transition from siloed, on-premises data environments to a modern, cloud-based architecture using Snowflake. The ideal candidate will work closely with Data Engineers, Data Analysts, and Program SMEs to facilitate data discovery, documentation, quality assurance, and technical validation for a growing portfolio of data hubs.
Key Responsibilities:
The following hubs are slated for development and deployment over the next 12 months. Each hub typically requires 80 100 days to complete, depending on complexity and data maturity:
* 8+ years of experience as a Business Analyst working in data-centric projects.
* Strong experience with Snowflake, SnowSQL, and SQL-based data structures.
* Demonstrated experience with data mapping, documentation, and process modeling.
* Understanding of SAS programming logic and ability to interpret SAS code.
* Experience with data warehousing, data discovery, and technical documentation.
* Familiarity with data validation and quality assurance techniques.
* Skilled in UAT practices and standards
Preferred:
* Experience working in higher education or public sector data environments.
* Background in education data systems, student information systems, or related areas.
* Experience with modular or framework-based data architecture approaches.
Soft Skills & Attributes:
* Self-starter with the ability to quickly get up to speed and contribute to a fast-paced environment.
* Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
* Highly organized with strong attention to detail and a focus on producing high-quality deliverables.
Key Responsibilities:
- Conduct data discovery for newly proposed data hubs.
- Analyze and document data processes to support design and implementation.
- Develop comprehensive data dictionaries, listings, and reference materials.
- Create and maintain detailed technical documentation for each data hub.
- Support quality assurance and data validation efforts throughout the development lifecycle.
- Assist with data mapping and User Acceptance Testing (UAT) practices.
- Collaborate with technical staff to understand existing SAS codebases and assist in the interpretation of legacy logic as needed.
The following hubs are slated for development and deployment over the next 12 months. Each hub typically requires 80 100 days to complete, depending on complexity and data maturity:
- Transfer
- 8th Grade Cohort
- Faculty
- Applications & Admissions
- College Readiness / TSI
* 8+ years of experience as a Business Analyst working in data-centric projects.
* Strong experience with Snowflake, SnowSQL, and SQL-based data structures.
* Demonstrated experience with data mapping, documentation, and process modeling.
* Understanding of SAS programming logic and ability to interpret SAS code.
* Experience with data warehousing, data discovery, and technical documentation.
* Familiarity with data validation and quality assurance techniques.
* Skilled in UAT practices and standards
Preferred:
* Experience working in higher education or public sector data environments.
* Background in education data systems, student information systems, or related areas.
* Experience with modular or framework-based data architecture approaches.
Soft Skills & Attributes:
* Self-starter with the ability to quickly get up to speed and contribute to a fast-paced environment.
* Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
* Highly organized with strong attention to detail and a focus on producing high-quality deliverables.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job We are seeking a skilled Business Analyst to work remotely from anywhere in the US as a member pf the DataOps team within the Division of Data Management and Research for our Austin, Texas client. This role supports the Data Hubs Initiative, a major multi-year effort to transition from siloed, on-premises data environments to a modern, cloud-based architecture using Snowflake. The ideal candidate will work closely with Data Engineers, Data Analysts, and Program SMEs to facilitate data discovery, documentation, quality assurance, and technical validation for a growing portfolio of data hubs.
Key Responsibilities:
The following hubs are slated for development and deployment over the next 12 months. Each hub typically requires 80 100 days to complete, depending on complexity and data maturity:
* 8+ years of experience as a Business Analyst working in data-centric projects.
* Strong experience with Snowflake, SnowSQL, and SQL-based data structures.
* Demonstrated experience with data mapping, documentation, and process modeling.
* Understanding of SAS programming logic and ability to interpret SAS code.
* Experience with data warehousing, data discovery, and technical documentation.
* Familiarity with data validation and quality assurance techniques.
* Skilled in UAT practices and standards
Preferred:
* Experience working in higher education or public sector data environments.
* Background in education data systems, student information systems, or related areas.
* Experience with modular or framework-based data architecture approaches.
Soft Skills & Attributes:
* Self-starter with the ability to quickly get up to speed and contribute to a fast-paced environment.
* Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
* Highly organized with strong attention to detail and a focus on producing high-quality deliverables.
Key Responsibilities:
- Conduct data discovery for newly proposed data hubs.
- Analyze and document data processes to support design and implementation.
- Develop comprehensive data dictionaries, listings, and reference materials.
- Create and maintain detailed technical documentation for each data hub.
- Support quality assurance and data validation efforts throughout the development lifecycle.
- Assist with data mapping and User Acceptance Testing (UAT) practices.
- Collaborate with technical staff to understand existing SAS codebases and assist in the interpretation of legacy logic as needed.
The following hubs are slated for development and deployment over the next 12 months. Each hub typically requires 80 100 days to complete, depending on complexity and data maturity:
- Transfer
- 8th Grade Cohort
- Faculty
- Applications & Admissions
- College Readiness / TSI
* 8+ years of experience as a Business Analyst working in data-centric projects.
* Strong experience with Snowflake, SnowSQL, and SQL-based data structures.
* Demonstrated experience with data mapping, documentation, and process modeling.
* Understanding of SAS programming logic and ability to interpret SAS code.
* Experience with data warehousing, data discovery, and technical documentation.
* Familiarity with data validation and quality assurance techniques.
* Skilled in UAT practices and standards
Preferred:
* Experience working in higher education or public sector data environments.
* Background in education data systems, student information systems, or related areas.
* Experience with modular or framework-based data architecture approaches.
Soft Skills & Attributes:
* Self-starter with the ability to quickly get up to speed and contribute to a fast-paced environment.
* Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
* Highly organized with strong attention to detail and a focus on producing high-quality deliverables.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job