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Sr. Data Solutions Analyst (SQL)
Job Location:
Job Location:
Deerfield Beach, FL - USA
Hourly Salary:
USD 75 - 80
Hourly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title:Sr. Data Solutions Analyst (SQL)
Location:Deerfield Beach FL 3 days onsite/2days remote
Duration: 6 months with likely extensions
Compensation:75-80/hr
Work Requirements: US Citizen GC Holders or Authorized to Work in the US
Job Summary
The Senior Data Analyst plays a key role in transforming data into actionable insights and scalable solutions that support business growth and strategic decision-making. This position partners closely with business stakeholders technology teams and data engineers to understand business needs design and support data solutions ensure data quality and governance and deliver meaningful analytics that drive results. The ideal candidate combines strong analytical and technical skills with business acumen thrives in a collaborative environment and is passionate about using data modern analytics platforms and emerging technologies to solve complex business challenges and create value across the organization.
Key Responsibilities
Data Analysis Quality Testing & Operational Excellence
Analyze business data to support management project teams data product teams business stakeholders and senior leadership.
Present findings recommendations and project updates to stakeholders at all levels of the organization.
Develop execute and optimize SQL queries to retrieve profile aggregate validate and analyze data across multiple systems.
Support the full data lifecycle by ensuring data solutions are properly tested validated and aligned with change management processes before and after production deployments.
Perform data profiling quality assessments validation testing and business rule analysis to ensure data accuracy completeness consistency and alignment with business requirements.
Identify and coordinate test data and testing activities to validate data mappings transformations semantic models reporting outputs and downstream data solutions.
Research diagnose and resolve data issues reporting inconsistencies data gaps and process anomalies through root cause analysis and continuous improvement efforts.
Business Partnership & Solution Delivery
Collaborate with business stakeholders management ITS and data engineering teams to gather requirements validate business definitions identify data solution opportunities and prioritize business and information needs.
Translate business processes questions and stakeholder needs into data reporting semantic modeling and advanced analytics requirements including opportunities where AI-enabled tools may improve efficiency or insight.
Maintain a strong understanding of business systems operational data reporting capabilities business priorities and the broader data ecosystem.
Partner proactively with technology and business teams to strengthen alignment between data systems and business processes while anticipating downstream impacts.
Data Architecture Modeling & Engineering Partnership
Work within modern cloud data warehousing environments and apply concepts including dimensional modeling star schemas semantic data models and ETL/ELT processes used to support data warehouse and analytic solutions.
Perform data lineage analysis validate SQL transformations and business logic and troubleshoot issues across data processing pipelines.
Partner closely with data engineers to support the design delivery maintenance and ongoing improvement of enterprise data solutions.
Create maintain and oversee source-to-target mappings and ensure alignment between business requirements data transformations and downstream systems.
Data Governance Documentation & Continuous Improvement
Create and maintain data documentation including data models data dictionaries entity-relationship diagrams technical specifications mapping documentation analysis results and governance-related artifacts.
Execute and promote data management data governance information security and related standards policies and best practices.
Participate in data governance activities and provide subject matter expertise on data usage data flows reporting systems business processes and technology initiatives.
Support operational activities strategic initiatives project delivery and continuous improvement efforts including identifying opportunities to leverage AI technologies to enhance data analysis processes.
Apply project management principles to support planning prioritization execution and communication of assigned work.
Required Qualifications
Bachelors degree in a related field or equivalent work experience.
5 years of experience in data analytics business intelligence data solutions or business analysis.
Advanced SQL experience and strong data analysis skills.
Experience with data warehousing concepts dimensional modeling and semantic data models.
Experience validating troubleshooting and analyzing data across multiple systems.
Experience partnering with data engineering or technology teams to support data solution delivery validation and issue resolution.
Strong critical thinking documentation communication and stakeholder management skills.
Preferred Qualifications
Experience with cloud-based data platforms and modern data architecture.
Experience with Power BI or other enterprise business intelligence tools for data visualization.
Experience with data governance and metadata management practices.
Experience leveraging AI-enabled tools to improve analytics documentation data preparation or other repeatable data management processes.
Ability to translate business questions and stakeholder needs into a data model.
Create KPIs perform trend analysis and provide actionable insights and recommendations that support business decision-making.
Our benefits package includes:
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services project and talent solutions. By always striving for excellence and focusing on the human aspect of our business we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at .
Location:Deerfield Beach FL 3 days onsite/2days remote
Duration: 6 months with likely extensions
Compensation:75-80/hr
Work Requirements: US Citizen GC Holders or Authorized to Work in the US
Job Summary
The Senior Data Analyst plays a key role in transforming data into actionable insights and scalable solutions that support business growth and strategic decision-making. This position partners closely with business stakeholders technology teams and data engineers to understand business needs design and support data solutions ensure data quality and governance and deliver meaningful analytics that drive results. The ideal candidate combines strong analytical and technical skills with business acumen thrives in a collaborative environment and is passionate about using data modern analytics platforms and emerging technologies to solve complex business challenges and create value across the organization.
Key Responsibilities
Data Analysis Quality Testing & Operational Excellence
Analyze business data to support management project teams data product teams business stakeholders and senior leadership.
Present findings recommendations and project updates to stakeholders at all levels of the organization.
Develop execute and optimize SQL queries to retrieve profile aggregate validate and analyze data across multiple systems.
Support the full data lifecycle by ensuring data solutions are properly tested validated and aligned with change management processes before and after production deployments.
Perform data profiling quality assessments validation testing and business rule analysis to ensure data accuracy completeness consistency and alignment with business requirements.
Identify and coordinate test data and testing activities to validate data mappings transformations semantic models reporting outputs and downstream data solutions.
Research diagnose and resolve data issues reporting inconsistencies data gaps and process anomalies through root cause analysis and continuous improvement efforts.
Business Partnership & Solution Delivery
Collaborate with business stakeholders management ITS and data engineering teams to gather requirements validate business definitions identify data solution opportunities and prioritize business and information needs.
Translate business processes questions and stakeholder needs into data reporting semantic modeling and advanced analytics requirements including opportunities where AI-enabled tools may improve efficiency or insight.
Maintain a strong understanding of business systems operational data reporting capabilities business priorities and the broader data ecosystem.
Partner proactively with technology and business teams to strengthen alignment between data systems and business processes while anticipating downstream impacts.
Data Architecture Modeling & Engineering Partnership
Work within modern cloud data warehousing environments and apply concepts including dimensional modeling star schemas semantic data models and ETL/ELT processes used to support data warehouse and analytic solutions.
Perform data lineage analysis validate SQL transformations and business logic and troubleshoot issues across data processing pipelines.
Partner closely with data engineers to support the design delivery maintenance and ongoing improvement of enterprise data solutions.
Create maintain and oversee source-to-target mappings and ensure alignment between business requirements data transformations and downstream systems.
Data Governance Documentation & Continuous Improvement
Create and maintain data documentation including data models data dictionaries entity-relationship diagrams technical specifications mapping documentation analysis results and governance-related artifacts.
Execute and promote data management data governance information security and related standards policies and best practices.
Participate in data governance activities and provide subject matter expertise on data usage data flows reporting systems business processes and technology initiatives.
Support operational activities strategic initiatives project delivery and continuous improvement efforts including identifying opportunities to leverage AI technologies to enhance data analysis processes.
Apply project management principles to support planning prioritization execution and communication of assigned work.
Required Qualifications
Bachelors degree in a related field or equivalent work experience.
5 years of experience in data analytics business intelligence data solutions or business analysis.
Advanced SQL experience and strong data analysis skills.
Experience with data warehousing concepts dimensional modeling and semantic data models.
Experience validating troubleshooting and analyzing data across multiple systems.
Experience partnering with data engineering or technology teams to support data solution delivery validation and issue resolution.
Strong critical thinking documentation communication and stakeholder management skills.
Preferred Qualifications
Experience with cloud-based data platforms and modern data architecture.
Experience with Power BI or other enterprise business intelligence tools for data visualization.
Experience with data governance and metadata management practices.
Experience leveraging AI-enabled tools to improve analytics documentation data preparation or other repeatable data management processes.
Ability to translate business questions and stakeholder needs into a data model.
Create KPIs perform trend analysis and provide actionable insights and recommendations that support business decision-making.
Our benefits package includes:
- Comprehensive medical benefits
- Competitive pay 401(k)
- Retirement plan
- and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services project and talent solutions. By always striving for excellence and focusing on the human aspect of our business we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at .
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability genetics or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions Privacy Policy and INSPYR Solutions AI and Automated Employment Decision Tool Policy: By submitting an application you are consenting to being contacted by INSPYR Solutions through phone email or text.
Required Experience:
Senior IC
