Design, develop, and deploy interactive Power BI dashboards that transform complex business requirements into intuitive, actionable reporting solutions.
Responsibilities
Design, develop, and deploy interactive Power BI dashboards that transform complex business requirements into intuitive, actionable reporting solutions.
Collaborate with business stakeholders to define reporting objectives, establish KPI definitions, document acceptance criteria, and create dashboard wireframes.
Convert approved designs into production-ready dashboards incorporating customized visualizations, KPI scorecards, analytical tables, timelines, and trend analysis.
Develop sophisticated DAX calculations, measures, and calculated columns supporting time intelligence, conditional logic, performance monitoring, and variance analysis.
Design and optimize Power BI semantic models using established dimensional modeling practices, relationships, date tables, and Power Query transformations.
We are seeking a skilled ETL Developer / Data Integration Engineer to design, develop, and maintain scalable data integration solutions that support healthcare business operations.
Responsibilities
Design, develop, test, and maintain ETL and data integration workflows.
Extract, transform, and load data from multiple source systems into data warehouses and data lakes.
Develop and optimize SQL queries, stored procedures, and database objects.
Build scalable, reliable, and high-performance data pipelines.
Perform data mapping, profiling, validation, reconciliation, and data quality checks.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Design, develop, and maintain scalable data models and ETL/ELT pipelines to support enterprise reporting, analytics, and operational decision-making in healthcare.
Locations (2)
United States
Massachusetts, United States
Compensation
$100,000.00 - $122,600.00
Responsibilities
Design, develop, and maintain scalable data models
Build, optimize, and maintain robust ETL/ELT pipelines
Develop and maintain curated datasets
Partner with business stakeholders to gather requirements
Lead efforts to improve data quality
Requirements
Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering, Information Systems, or a related field
Seeking a Data Engineer with strong data modeling, governance and data quality capabilities to transform a fragmented data estate into a trusted enterprise foundation.
Compensation
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Responsibilities
Analyze existing databases, marts and reporting structures to identify duplication and inconsistent models.
Develop conceptual, logical and physical models for ODS and DWH solutions, including dimensional models.
Define source-to-target mappings, business keys, historical data handling and transformation rules.
Help establish data ownership, stewardship, metadata, lineage and critical data element standards.
Define and automate data quality metrics for completeness, accuracy, validity, consistency, timeliness and reconciliation.
The Senior Enterprise Data Engineer will play a critical role in designing, building, and maintaining the ASPCA’s enterprise data warehouse ecosystem transitioning from siloed systems to a centralized data solution.
Compensation
$138,000-143,000 annually
Responsibilities
Design, build, and maintain the ASPCA’s enterprise data warehouse ecosystem
Develop and maintain dbt Core models and data workflows across medallion architecture
Integrate master data management (MDM) workflows into enterprise pipelines
Partner with cross-functional stakeholders to support transition to centralized data solution
Ensure data assets are accurate, performant, reliable, and aligned with organizational standards
Requirements
High School Diploma, GED, or equivalent experience
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering or a related field preferred
Technical Business Analyst/Ontologist focused on establishing foundations for enterprise analytics, automation, and AI through domain ontologies and semantic layers.
Compensation
US-NY-REMOTE
Responsibilities
Design scalable functional ontologies that model core business concepts
Develop and maintain semantic layers by mapping ontology concepts to enterprise source systems
Enable trusted AI solutions by developing knowledge graphs, taxonomies, and metadata
Establish ontology modeling standards
Partner with business functions and subject matter experts to facilitate workshops
Requirements
University Degree or equivalent experience
Advanced Degree in a related field
Nice to have: Master of Science degree in Analytics
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