Kforce Inc
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This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50.00/hr - $60.00/hr
Responsibilities
Serve as a technical resource for strategic oversight, planning, and development of data models and database structures to support global needs
Translate logical designs into physical databases and define data flows through successive stages
Plan, design, and document logical and physical enterprise relational data models
Facilitate and participate in design meetings and review sessions with development, architecture, data integration, BI teams, and power users
Implement physical data models on platforms such as Snowflake
Gather data requirements by working with end users
Analyze complex data sources and develop source-to-target mapping documents, including business transformation rules
Perform data quality analysis and profiling to ensure integrity and accuracy
Support QA and end users during testing phases, including QA and User Acceptance Testing
Provide daily production support and ongoing maintenance for the enterprise data warehouse
Identify problematic data areas, research root causes, and determine corrective actions
Support data governance by developing processes and queries to monitor and ensure data quality
Gather, clean, and preprocess data from various sources, ensuring integrity and quality
Identify KPIs and develop metrics to track and measure business performance
Monitor data quality, identify issues, and propose cleansing or enhancement solutions
Stay updated with industry trends and best practices in data analysis, modeling, and reporting
Demonstrate strong individual contribution and teamwork, with excellent communication skills
Adapt quickly to change with a flexible, cooperative work style and ability to reprioritize as needed
Requirements
Bachelor of Science (BS) in Computer Science or Information Systems (or equivalent work experience)
7-10+ years of overall IT experience in software development or data-related roles, with evidence of increasing responsibility
5-7 years of significant data analysis experience, including 2-4 years building complex data models
3-5 years of strong Snowflake experience; Ability to construct complex SQL queries
2+ years of data profiling experience
Proven experience with programming languages such as SQL and Python for data manipulation and analysis
Experience with data analysis and visualization tools such as SAP BO, Power BI and Excel
Extensive knowledge of advanced concepts, practices, and procedures in analytic database environments
Proficiency with best practices in data modelling, data analysis, and data warehousing concepts
Ability to understand requirements and create complex relational data models
Ability to create data flow and process flow diagrams
Knowledge of BI methodologies, Data Marts, Data Warehousing, OLAP tools and techniques (a plus)
Experience in professional services, accounting industry, or client service/consultative technology roles (a plus)
Strong analytical and problem-solving skills
Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure
Good business knowledge and confident decision-making skills
Excellent written and oral communication skills
Ability to communicate strategies around data modelling and architecture to cross-functional teams and business executives
Attention to detail and ability to maintain data accuracy and integrity
Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
Able to work in an ambiguous and/or changing work environment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Equal Opportunity/Affirmative Action Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50.00/hr - $60.00/hr
Responsibilities
Serve as a technical resource for strategic oversight, planning, and development of data models and database structures to support global needs
Translate logical designs into physical databases and define data flows through successive stages
Plan, design, and document logical and physical enterprise relational data models
Facilitate and participate in design meetings and review sessions with development, architecture, data integration, BI teams, and power users
Implement physical data models on platforms such as Snowflake
Gather data requirements by working with end users
Analyze complex data sources and develop source-to-target mapping documents, including business transformation rules
Perform data quality analysis and profiling to ensure integrity and accuracy
Support QA and end users during testing phases, including QA and User Acceptance Testing
Provide daily production support and ongoing maintenance for the enterprise data warehouse
Identify problematic data areas, research root causes, and determine corrective actions
Support data governance by developing processes and queries to monitor and ensure data quality
Gather, clean, and preprocess data from various sources, ensuring integrity and quality
Identify KPIs and develop metrics to track and measure business performance
Monitor data quality, identify issues, and propose cleansing or enhancement solutions
Stay updated with industry trends and best practices in data analysis, modeling, and reporting
Demonstrate strong individual contribution and teamwork, with excellent communication skills
Adapt quickly to change with a flexible, cooperative work style and ability to reprioritize as needed
Requirements
Bachelor of Science (BS) in Computer Science or Information Systems (or equivalent work experience)
7-10+ years of overall IT experience in software development or data-related roles, with evidence of increasing responsibility
5-7 years of significant data analysis experience, including 2-4 years building complex data models
3-5 years of strong Snowflake experience; Ability to construct complex SQL queries
2+ years of data profiling experience
Proven experience with programming languages such as SQL and Python for data manipulation and analysis
Experience with data analysis and visualization tools such as SAP BO, Power BI and Excel
Extensive knowledge of advanced concepts, practices, and procedures in analytic database environments
Proficiency with best practices in data modelling, data analysis, and data warehousing concepts
Ability to understand requirements and create complex relational data models
Ability to create data flow and process flow diagrams
Knowledge of BI methodologies, Data Marts, Data Warehousing, OLAP tools and techniques (a plus)
Experience in professional services, accounting industry, or client service/consultative technology roles (a plus)
Strong analytical and problem-solving skills
Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure
Good business knowledge and confident decision-making skills
Excellent written and oral communication skills
Ability to communicate strategies around data modelling and architecture to cross-functional teams and business executives
Attention to detail and ability to maintain data accuracy and integrity
Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
Able to work in an ambiguous and/or changing work environment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Equal Opportunity/Affirmative Action Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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