job details
Description:
The Senior Business Systems Analyst - Automation & Data Strategy plays a pivotal role in improving how the business operates by connecting operational needs with scalable system, data, and automation solutions. This is a high-impact role for someone who combines strong business analysis and systems thinking with practical hands-on experience across enterprise platforms and data environments, and who can translate technical complexity into clear, credible guidance for non-technical stakeholders. ...
Job Responsibilities
Partner with business stakeholders to uncover operational pain points, remove inefficiencies, and identify high-value automation opportunities.
Facilitate requirements gathering sessions, process mapping workshops, and cross-functional discussions.
Translate business needs into clear requirements, workflows, user stories, and implementation plans.
Analyze business processes and shape scalable automation and data solutions that deliver measurable operational improvement.
Work with technical teams to support automation, systems integration, and process improvement initiatives.
Support enterprise data strategy efforts, including data sourcing, enrichment, governance, and reporting requirements.
Coordinate across business, analytics, and technology teams to ensure alignment between operational goals and technical delivery.
Maintain clear project documentation, including requirements, process flows, decision logs, and procedures.
Support testing, validation, change management, and user adoption for implemented solutions.
Identify opportunities to improve operational efficiency, reduce manual effort, and increase data quality across business functions.
Communicate project updates, risks, dependencies, and recommendations with clarity and confidence, translating technical concepts, options, and trade-offs into practical guidance for non-technical audiences.
Research and evaluate emerging technologies and automation platforms applicable to business operations.
Requirements:
Requirements
Bachelor's degree in Business, Information Systems, Engineering, Data Analytics, or related field.
5 to 8 years of experience in business analysis, process improvement, operational transformation, automation, or similar roles with meaningful cross-functional scope.
Strong experience gathering and managing business and functional requirements.
Demonstrated ability to lead work across business and technical teams and build alignment around practical solutions.
Experience with process mapping, workflow analysis, and operational improvement.
Strong analytical, problem-solving, and organizational skills.
Excellent written, verbal, and stakeholder communication skills.
Ability to manage multiple initiatives simultaneously.
Experience with data-driven solutions, reporting, or enterprise systems.
Familiarity with automation tools, workflow platforms, or systems integration.
Experience supporting digital transformation or enterprise modernization preferred.
Strongly preferred: practical hands-on experience with SQL, APIs, Google Cloud Platform, Palantir, Procore, or comparable enterprise platforms-especially in roles involving systems integration, data workflows, and operational process improvement.
Strongly preferred: a clear, credible communicator who can bridge business and technical teams, explain trade-offs and system limitations, and bring sound judgment to what is realistically achievable.
Experience within engineering, construction, consulting, or enterprise operations environments preferred.
Advantages
a clear, credible communicator who can bridge business and technical teams, explain trade-offs and system limitations, and bring sound judgment to what is realistically achievable.
Responsibilities
Description:
The Senior Business Systems Analyst - Automation & Data Strategy plays a pivotal role in improving how the business operates by connecting operational needs with scalable system, data, and automation solutions. This is a high-impact role for someone who combines strong business analysis and systems thinking with practical hands-on experience across enterprise platforms and data environments, and who can translate technical complexity into clear, credible guidance for non-technical stakeholders.
Job Responsibilities
Partner with business stakeholders to uncover operational pain points, remove inefficiencies, and identify high-value automation opportunities.
Facilitate requirements gathering sessions, process mapping workshops, and cross-functional discussions.
Translate business needs into clear requirements, workflows, user stories, and implementation plans.
Analyze business processes and shape scalable automation and data solutions that deliver measurable operational improvement.
Work with technical teams to support automation, systems integration, and process improvement initiatives.
Support enterprise data strategy efforts, including data sourcing, enrichment, governance, and reporting requirements.
Coordinate across business, analytics, and technology teams to ensure alignment between operational goals and technical delivery.
Maintain clear project documentation, including requirements, process flows, decision logs, and procedures.
Support testing, validation, change management, and user adoption for implemented solutions.
Identify opportunities to improve operational efficiency, reduce manual effort, and increase data quality across business functions.
Communicate project updates, risks, dependencies, and recommendations with clarity and confidence, translating technical concepts, options, and trade-offs into practical guidance for non-technical audiences.
Research and evaluate emerging technologies and automation platforms applicable to business operations.
Requirements:
Requirements
Bachelor's degree in Business, Information Systems, Engineering, Data Analytics, or related field.
5 to 8 years of experience in business analysis, process improvement, operational transformation, automation, or similar roles with meaningful cross-functional scope.
Strong experience gathering and managing business and functional requirements.
Demonstrated ability to lead work across business and technical teams and build alignment around practical solutions.
Experience with process mapping, workflow analysis, and operational improvement.
Strong analytical, problem-solving, and organizational skills.
Excellent written, verbal, and stakeholder communication skills.
Ability to manage multiple initiatives simultaneously.
Experience with data-driven solutions, reporting, or enterprise systems.
Familiarity with automation tools, workflow platforms, or systems integration.
Experience supporting digital transformation or enterprise modernization preferred.
Strongly preferred: practical hands-on experience with SQL, APIs, Google Cloud Platform, Palantir, Procore, or comparable enterprise platforms-especially in roles involving systems integration, data workflows, and operational process improvement.
Strongly preferred: a clear, credible communicator who can bridge business and technical teams, explain trade-offs and system limitations, and bring sound judgment to what is realistically achievable.
Experience within engineering, construction, consulting, or enterprise operations environments preferred.
Please send your resume in confidence to
[email protected] Qualifications
Bachelor's degree in Business, Information Systems, Engineering, Data Analytics, or related field.
5 to 8 years of experience in business analysis, process improvement, operational transformation, automation, or similar roles with meaningful cross-functional scope.
Strong experience gathering and managing business and functional requirements.
Demonstrated ability to lead work across business and technical teams and build alignment around practical solutions.
Experience with process mapping, workflow analysis, and operational improvement.
Strong analytical, problem-solving, and organizational skills.
Excellent written, verbal, and stakeholder communication skills.
Summary
Description:
The Senior Business Systems Analyst - Automation & Data Strategy plays a pivotal role in improving how the business operates by connecting operational needs with scalable system, data, and automation solutions. This is a high-impact role for someone who combines strong business analysis and systems thinking with practical hands-on experience across enterprise platforms and data environments, and who can translate technical complexity into clear, credible guidance for non-technical stakeholders.
Job Responsibilities
Partner with business stakeholders to uncover operational pain points, remove inefficiencies, and identify high-value automation opportunities.
Facilitate requirements gathering sessions, process mapping workshops, and cross-functional discussions.
Translate business needs into clear requirements, workflows, user stories, and implementation plans.
Analyze business processes and shape scalable automation and data solutions that deliver measurable operational improvement.
Work with technical teams to support automation, systems integration, and process improvement initiatives.
Support enterprise data strategy efforts, including data sourcing, enrichment, governance, and reporting requirements.
Coordinate across business, analytics, and technology teams to ensure alignment between operational goals and technical delivery.
Maintain clear project documentation, including requirements, process flows, decision logs, and procedures.
Support testing, validation, change management, and user adoption for implemented solutions.
Identify opportunities to improve operational efficiency, reduce manual effort, and increase data quality across business functions.
Communicate project updates, risks, dependencies, and recommendations with clarity and confidence, translating technical concepts, options, and trade-offs into practical guidance for non-technical audiences.
Research and evaluate emerging technologies and automation platforms applicable to business operations.
Requirements:
Requirements
Bachelor's degree in Business, Information Systems, Engineering, Data Analytics, or related field.
5 to 8 years of experience in business analysis, process improvement, operational transformation, automation, or similar roles with meaningful cross-functional scope.
Strong experience gathering and managing business and functional requirements.
Demonstrated ability to lead work across business and technical teams and build alignment around practical solutions.
Experience with process mapping, workflow analysis, and operational improvement.
Strong analytical, problem-solving, and organizational skills.
Excellent written, verbal, and stakeholder communication skills.
Ability to manage multiple initiatives simultaneously.
Experience with data-driven solutions, reporting, or enterprise systems.
Familiarity with automation tools, workflow platforms, or systems integration.
Experience supporting digital transformation or enterprise modernization preferred.
Strongly preferred: practical hands-on experience with SQL, APIs, Google Cloud Platform, Palantir, Procore, or comparable enterprise platforms-especially in roles involving systems integration, data workflows, and operational process improvement.
Strongly preferred: a clear, credible communicator who can bridge business and technical teams, explain trade-offs and system limitations, and bring sound judgment to what is realistically achievable.
Experience within engineering, construction, consulting, or enterprise operations environments preferred.
Please send your resume in confidence to
[email protected] Description:
The Senior Business Systems Analyst - Automation & Data Strategy plays a pivotal role in improving how the business operates by connecting operational needs with scalable system, data, and automation solutions. This is a high-impact role for someone who combines strong business analysis and systems thinking with practical hands-on experience across enterprise platforms and data environments, and who can translate technical complexity into clear, credible guidance for non-technical stakeholders.
Job Responsibilities
Partner with business stakeholders to uncover operational pain points, remove inefficiencies, and identify high-value automation opportunities.
Facilitate requirements gathering sessions, process mapping workshops, and cross-functional discussions.
Translate business needs into clear requirements, workflows, user stories, and implementation plans.
Analyze business processes and shape scalable automation and data solutions that deliver measurable operational improvement.
Work with techn
