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Business Data Specialist
"Stride
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About this role
Job Description The Business Data Specialist develops, maintains, and supports business-critical data products that enable operational reporting, compliance, funding, and analytics across the organization. The role partners closely with Data Engineering, Data Domains, DevOps, Data Governance, Analytics, and Business teams to ensure domain-specific data products are accurate, traceable, well-documented, and aligned with business requirements.
This position combines strong technical data skills with deep business understanding. The Data Specialist develops and enhances dbt models, fulfills complex data requests, validates data quality, investigates production issues, and ensures data products remain maintainable and audit-ready throughout their lifecycle. Over time, the individual is expected to become the technical subject matter expert for assigned business domains, developing expertise in the underlying business processes, configuration logic, business rules, and data lineage needed to support critical operational, reporting, and compliance requirements. ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. • Develop, maintain, and enhance domain-specific data products and data models using dbt and Snowflake to support operational reporting, analytics, compliance, funding, and business processes. • Partner with the Data Domains team to identify, define, and incorporate enterprise data required to support business-critical data products. • Translate business requirements into scalable, reusable technical solutions while balancing immediate business needs with long-term maintainability. • Design and implement technical solutions for complex ad hoc data requests while identifying opportunities to create reusable data assets. • Perform data validation, reconciliation, root cause analysis, and quality assurance to ensure the integrity, accuracy, and completeness of production data. • Investigate data quality and production issues, identify root causes across upstream and downstream systems, and partner with cross-functional teams to implement sustainable solutions. • Design and maintain configuration-driven solutions that simplify complex business rules while ensuring configuration consistency, usability, and appropriate validation of dependent settings. • Develop a deep understanding of how business configurations drive system logic and reporting to ensure data products accurately reflect business intent. • Ensure data models are traceable, well-documented, and defensible through clear business rules, metadata, testing, and lineage documentation to support audit and compliance requirements. • Apply systems thinking to understand how data, business rules, configurations, and downstream reporting interact, proactively identifying risks, dependencies, and opportunities to simplify complex processes. • Become the technical subject matter expert for assigned business domains, developing expertise in business processes, data lineage, reporting requirements, and system functionality. • Collaborate with Business Analysts to translate functional requirements into scalable technical solutions while providing guidance on technical capabilities, implementation approaches, and data impacts. • Work closely with Data Engineering, DevOps, Data Governance, Analytics, and other cross-functional teams to ensure data products meet enterprise standards for quality, security, performance, and governance. • Evaluate existing data products and technical designs to identify opportunities to improve scalability, performance, maintainability, usability, and data quality. • Create and maintain technical documentation, business rules, configuration documentation, validation procedures, and data definitions. • Process confidential and sensitive data in accordance with organizational policies, regulatory requirements, and data governance standards.
Supervisory Responsibilities: This position has no formal supervisory responsibilities.
Certificates and Licenses : None required.
REQUIRED QUALIFICATIONS: • Five (5) to Seven (7) years of relevant professional experience with data analysis. • Advanced Microsoft Excel skills • Demonstrated experience communicating with various stakeholders including teachers and school leaders • Self-motivated to solve emergent issues with the best available tools and is expected to work collaboratively with other team members and the broader team of data analysts across the company • MS365 proficient • Experience with data analysis, modeling, design and documentation • Experience in developing reports and/or dashboards with reporting tools like MS Access, MS Power BI, Excel • Knowledge of programming standards and techniques, ideally with experience writing in SQL • Ability to communicate technology concepts effectively with technically proficient and non-technically proficient individuals • Effective customer service and interpersonal skills • Strong organizational and time management skills • Experience in developing reports and/or dashboards • Ability to travel 10% of the time • Ability to clear required background check
DESIRED QUALIFICATIONS: • Bachelor’s degree in mathematics, computer science, technology, or education leadership • Experience working in education with academic data sets • Experience developing dashboards in business intelligence tools such as PowerBI • Experience scripting in Python for ETL processes • Experience working in Snowflake, DBT, Streamsets and/or Alation
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • This is a home-based position.
COMPENSATION & BENEFITS : Stride, Inc. considers a person’s education, experience, and qual
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