Data Analytics für Forecasting, Entwicklung von softwaregestützten Lösungen für Business Forecasting, Marktanalyse und Produktmanagement
Compensation
Attraktive Vergütung nach Tarifverträgen der Metall- und Elektroindustrie sowie diverse Sonderzahlungen (Weihnachts- und Urlaubsgeld, Erfolgsbeteiligung etc.)
Responsibilities
Data Analytics für Forecasting
Selbständiges Erarbeiten einer Software-Lösung für datengestütztes Business Forecasting
Auswertung von Sales and Market trends im Bezug auf das Produktportfolio
Training des konzerneigenen Large Language Models (KI) zur Weiterentwicklung des Wissensmanagements
Tooling-Entwicklung für Strategische Bedarfsplanung
Senior Data Engineer responsible for platform architecture, technical direction, and end-to-end delivery of critical data products and pipelines using Snowflake and dbt.
Locations (3)
Lafayette, Louisiana, United States
Atlanta, Georgia, United States
Dallas, Texas, United States
Compensation
86,539.00 - 128,101.00 USD annually
Responsibilities
Define and evolve reference architectures and standards for ingestion, transformation, orchestration, and serving layers (Snowflake + dbt)
Lead design reviews and set guardrails that enable teams to deliver scalable, secure, observable, and maintainable solutions
Own end-to-end delivery and operational excellence for critical datasets and pipelines supporting revenue cycle, physician scheduling, billing, and performance monitoring
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
Senior Associate in Deals Real Assets focusing on data engineering and digital solutions for capital projects.
Compensation
The salary range for this position is $60,000 - $100,100.
Responsibilities
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Design and implement data models within Azure Data Lake, leveraging Medallion Architecture and building complex business logic into scalable, efficient transformations
Develop processes to ingest data from relational databases, APIs, flat files, and project management systems
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions
Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost-effectiveness
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
A Senior Technology Business Systems Consultant to solve complex business, data, and technology challenges across the credit card rewards ecosystem, partnering across Operations, Product, Technology, Data, and Risk.
Responsibilities
Lead or participate in providing technology initiatives for simple to moderately complex business problems within technology business systems
Contribute to the development of systems and procedures that are both cost effective and meet the relevant business requirements
Evaluate moderately complex business, operational, or technical challenges that require an in-depth evaluation of planning and direction conducted to resolve complex business problems
Partner with business and technology teams to evaluate moderately complex business problems and lead a team to provide comprehensive technological solutions
Act as an internal consultant within technology and business groups by using quality tools and process definition or improvement to re-engineer technical processes
Support strategic data and reporting capabilities within the CDP portfolio, modernize business banker field reporting, develop data products, and enable AI and generative AI capabilities.
Compensation
$87,000.00 - $154,000.00
Responsibilities
Support strategic data and reporting capabilities within the CDP portfolio, including data discovery, user story and requirements writing, and hands‑on user acceptance testing
Support cross‑functional initiatives to modernize WF Business field reporting and consolidate fragmented reporting data onto strategic platforms
Analyze and help manage complex datasets with a continuous focus on business definitions, data lineage, quality, reconciliation, controls, and the needs of reporting and AI consumers
Develop prototype designs for innovative data capabilities that improve data availability for field reporting, performance and portfolio insights, analytics, and responsible AI enablement
Define and execute data validation and reconciliation testing that confirms reporting accuracy, completeness, stability, and alignment to approved business rules before release
Support product discovery by gathering user feedback, documenting pain points and summarizing opportunities
Help translate business needs into process maps, requirements, user stories, acceptance criteria or simple prototypes
Assist with product backlog organization, release planning, status tracking and product documentation
Participate in testing new features and document results, questions and recommended improvements
Analyze product usage, process, campaign or operational data using tools such as Excel, Power BI or similar platforms
Requirements
Associate, bachelor’s or master’s degree in Marketing, Business, Analytics, Information Systems, Computer Science, Data Science, Communications, Design or a related field
Developer II - .NET
Blue Cross and Blue Shield of Kansas · Posted Nov 9, 2026
Lead technical product execution for native application development across cloud data platforms including Snowflake and Databricks while advancing AI-native development practices.
Compensation
Annual Pay Range: 107,200 - 150,000 USD
Responsibilities
Own and continuously improve the Jira backlog, translating business objectives into clear epics, user stories, acceptance criteria, and actionable technical requirements.
Drive roadmap planning and execution for native application development across Snowflake and Databricks environments.
Partner with Product Managers and engineering teams to align technical execution with product priorities and customer needs.
Lead work from discovery and planning through delivery and production rollout, managing priorities, dependencies, risks, and release readiness.
Champion strong Technical Product Management practices across backlog refinement, sprint planning, roadmap management, and stakeholder coordination.
Lead analytics work within the Surgical and Medical Imaging sectors, developing indicators, methodologies, and advanced analyses to support executive decision‑making and system improvement.
Responsibilities
Provide analytical leadership on quantitative and qualitative analyses of clinical and administrative data
Build strong relationships with internal and external stakeholders
Develop analytics plans, methodology protocols, and data acquisition and collection plans
Deliver rigorous, timely analytics products with briefing notes, presentations and reports
Support the Analytics Manager in setting timelines and priorities
Requirements
Masters degree in epidemiology, biostatistics, health sciences, industrial engineering or related fields
Senior Data EngineerNewSCP Health · Lafayette, US+2 more