The Customer Operations Analyst manages ongoing operations for a portfolio of customers, including rule building, reporting, and product support, ensuring clients maximize value from the platform.
Responsibilities
Own the ongoing operations for a portfolio of customers (i.e. rule building, process execution, reporting and dashboarding, and product support)
Create automated reporting (financial, sales performance, incentive compensation) for customers to support process automation and improve business visibility
Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings
Implement new Forma.ai platform features within your customer portfolio to support continuous improvement and automation
Build strong working relationships with key customer stakeholders, ensuring our clients realize Forma.ai's full value
Support development, integration, security, modernization, and sustainment of mission‑critical applications and data environments for the South Carolina Department of Probation, Parole, and Pardon Services.
Responsibilities
Design, develop, and maintain an enterprise data warehouse, data lake, or comparable data platform
Define data models, schemas, metadata, integration patterns, storage approaches, and lifecycle‑management practices
Establish standards for data ingestion, transformation, storage, access, retention, lineage, cataloging, quality, and security
Develop and maintain scalable ETL/ELT pipelines for batch, near‑real‑time, and real‑time data processing
Design secure, reliable interfaces among enterprise applications, reporting platforms, analytics tools, and data repositories
Requirements
Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline
Data Governance Consultant role focused on designing, configuring, and implementing Data Governance, Data Catalog and Data Quality solutions. This is a technical role focused on leveraging market leading data governance and catalog tools to support enterprise data governance, data quality, and data catalog processes.
Responsibilities
Build, configure, and deploy data governance solutions leveraging the DG platform tailored to complex enterprise requirements.
Configure data domains, org units, business glossaries, workflows, data classification, technical and semantic lineage to enforce data governance frameworks and policies.
Develop and customize DG integrations with enterprise systems through APIs, connectors, and data integration tools.
Perform data profiling, data quality validations, and data quality rules and scorecard build using best practices.
Troubleshoot, debug, and optimize DG workflows and integrations ensuring data accuracy, consistency, and process efficiency.
As a Senior Consultant in a Data Warehousing project, you will drive technical and analytical tasks to ensure the organization can effectively leverage data assets for informed decision-making.
Responsibilities
Undertake primary ownership in driving self and team member’s effort across all phases of a project lifecycle
Oversees and develops Data Warehouse projects to ensure methodological soundness; deliver quality client deliverables within expected timeframe
Assist in designing data models that reflect business needs and support analytical objectives
Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like project plans, and risk mitigation
Develop and maintain comprehensive documentation for data warehouse architecture, ETL processes, and system configurations to ensure clarity and compliance
Design, develop, and maintain Power BI dashboards, semantic models, and analytical solutions to support data-driven decision making across various business functions.
Responsibilities
Design and develop complex Power BI applications
Transform enterprise data including SAP HANA into actionable insights
Ensure performance, accuracy, security, governance, and documentation standards
Develop applications with Microsoft Power Apps, Power Automate, SharePoint/Dataverse or SQL backend
Propose and guide data storage and retrieval in enterprise data platform
Requirements
Bachelor’s or master’s degree in data Analytics, Computer Science, Information Systems, Engineering, Statistics, or related discipline
Maintain the quality, availability, and usability of enterprise technology services through analysis, troubleshooting, user support, and continuous improvement.
Locations (2)
Irving, Texas, United States
Las Colinas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Monitor service health or support queues and prioritize requests using agreed service levels.
Investigate application, data, access, integration, and user issues using available diagnostics.
Coordinate escalations and communicate status, workarounds, and resolutions.
Maintain tickets, knowledge articles, runbooks, and operational reports.
Identify recurring problems and recommend permanent corrective actions.
Bright Vision Technologies is seeking a Data Quality Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making.
Compensation
$115,000–$165,000 Annually
Responsibilities
Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
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