Data Solutions Consultant

Boehringer Ingelheim; Ridgefield (CT); On-site; USD 90,000 - 130,000; Full time

Job summary

Magnit is seeking a Data Solutions Consultant to design, optimize, and support enterprise data solutions that improve operational efficiency, data quality, and business decision‑making. This role partners with business stakeholders, analysts, technical teams, and external partners to modernize data processes, automate workflows, implement governance practices, and deliver reliable data assets.

The position focuses on transforming manual and legacy processes into scalable, maintainable data

Qualifications

• 3+ years of experience supporting data, technology, reporting, analytics, or business solution initiatives.
• Experience designing and implementing automated business or data processes.
• Experience with data integration, transformation, reporting, or operational workflow solutions.
• Experience working in cross-functional project environments.
• Experience supporting testing, deployment, and operational support activities.
• Strong understanding of process improvement and solution lifecycle management.

Responsibilities

• Design and implement automated solutions that improve efficiency and reduce manual processes.
• Create scalable workflows that support data movement, transformation, validation, and distribution.
• Partner with stakeholders to identify opportunities for process simplification and automation.
• Improve reliability, maintainability, and operational effectiveness through standardized solution design practices.
• Support modernization initiatives that replace legacy processes with sustainable enterprise solutions.

Skills

Data integration

Data transformation

Data quality management

Process automation

Solution design

Workflow optimization

Education

Bachelor's degree or equivalent

Job description

The Data Solutions Consultant is responsible for designing, optimizing, and supporting enterprise data solutions that improve operational efficiency, data quality, and business decision-making. This role partners with business stakeholders, analysts, technical teams, and external partners to modernize data processes, automate workflows, implement governance practices, and support the delivery of reliable data assets.

The Data Solutions Consultant serves as a key contributor in transforming manual and legacy processes into scalable, maintainable, and well-governed solutions. The role combines data integration, process improvement, solution design, quality assurance, documentation, and stakeholder engagement to ensure data and reporting capabilities meet organizational needs.

Key Responsibilities

Data Process Automation & Solution Delivery

• Design and implement automated solutions that improve efficiency and reduce manual processes.
• Create scalable workflows that support data movement, transformation, validation, and distribution.
• Partner with stakeholders to identify opportunities for process simplification and automation.
• Improve reliability, maintainability, and operational effectiveness through standardized solution design practices.
• Support modernization initiatives that replace legacy processes with sustainable enterprise solutions.

Data Transformation & Quality Management

• Design, maintain, and optimize data transformation processes that support business reporting and operational needs.
• Develop and maintain business rules, validation standards, and quality controls.
• Implement data testing and monitoring practices to improve accuracy and consistency.
• Support the creation of reusable components, templates, and standardized approaches across projects.
• Collaborate with business stakeholders to translate requirements into effective data solutions.

Data Platform & Integration Management

• Design and support data solutions that integrate information across multiple systems and business processes.
• Develop and maintain data models and structures that support reporting, analytics, and operational needs.
• Implement integration processes that enable efficient data exchange across platforms.
• Partner with analysts, reporting teams, and business stakeholders to deliver high-quality data assets.
• Identify opportunities to improve performance, scalability, and usability of enterprise data solutions.

Governance, Compliance & Documentation

• Maintain documentation for workflows, processes, data assets, and operational procedures.
• Support organizational standards related to data management, governance, and quality.
• Assist with maintaining data lineage, metadata, and business process documentation.
• Collaborate with business and compliance teams to support regulatory and organizational requirements.
• Promote consistent documentation and knowledge-sharing practices.

Process Improvement & Modernization

• Analyze existing processes to identify inefficiencies, risks, and improvement opportunities.
• Recommend and implement solutions that improve scalability, performance, and sustainability.
• Support organizational initiatives focused on modernization, automation, and operational excellence.
• Evaluate emerging technologies and methods that may improve business capabilities.
• Contribute to continuous improvement efforts across systems, processes, and data products.

Cross-Functional Collaboration & Vendor Coordination

• Collaborate with business stakeholders, analysts, project teams, and operational leaders.
• Coordinate activities with external vendors, consultants, and delivery partners.
• Translate business requirements into solution specifications and implementation plans.
• Review deliverables to ensure quality and alignment with organizational standards.
• Support knowledge transfer, training, and adoption activities across teams.

Required Qualifications

• 3+ years of experience supporting data, technology, reporting, analytics, or business solution initiatives.
• Experience designing and implementing automated business or data processes.
• Experience with data integration, transformation, reporting, or operational workflow solutions.
• Experience working in cross-functional project environments.
• Experience supporting testing, deployment, and operational support activities.
• Strong understanding of process improvement and solution lifecycle management.
• Data integration and transformation
• Data quality management
• Business process automation
• Solution design and implementation
• Data lifecycle management
• Workflow optimization

Business Analysis & Process Improvement

• Requirements gathering and documentation
• Process mapping and workflow analysis
• Root-cause analysis
• Continuous improvement methodologies
• Business problem solving
• Change impact assessment

Technical Knowledge

• Understanding of enterprise applications and system integrations
• Knowledge of data management and data processing concepts
• Familiarity with cloud-based platforms and services
• Understanding of solution deployment and support processes
• Experience with reporting and analytics environments

Governance & Quality

• Data governance principles
• Quality assurance and validation practices
• Documentation management
• Process controls and compliance support
• Risk identification and mitigation

Communication & Collaboration

• Strong verbal and written communication skills
• Stakeholder management and relationship building
• Ability to communicate technical concepts to non-technical audiences
• Facilitation and coordination skills
• Vendor and partner management experience

Organizational Effectiveness

• Strong attention to detail
• Ability to manage multiple priorities simultaneously
• Strong analytical and problem-solving abilities
• Self-directed with the ability to work independently
• Commitment to continuous learning and process improvement

Preferred Qualifications

• Experience supporting enterprise-scale data, reporting, or technology platforms.
• Familiarity with cloud-based technologies and modern data ecosystems.
• Experience with automation and process modernization initiatives.
• Experience working with governance, compliance, or operational excellence programs.
• Certifications in analytics, business analysis, project management, process improvement, or related disciplines are a plus.

• Bachelor's degree or equivalent combination of education and experience.