6 Time Study Technologist Job Description Templates and Examples

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a motivated Junior Time Study Technologist to join our innovative team. In this entry-level role, you will assist in analyzing time and motion to enhance operational efficiency and productivity within our organization. You will work closely with experienced technologists to develop methodologies and tools that drive data-driven decisions.

Responsibilities

• Support the design and execution of time studies across various departments to gather relevant data
• Assist in analyzing collected data to identify areas for improvement and optimization
• Collaborate with cross-functional teams to implement time-saving initiatives
• Help create comprehensive reports that summarize findings and recommendations
• Participate in continuous improvement projects, contributing fresh ideas and insights

Required and Preferred Qualifications

Required:

• Bachelor's degree in Industrial Engineering, Operations Management, or a related field
• Basic understanding of time study methodologies and data analysis
• Proficiency in Microsoft Excel and data visualization tools

Preferred:

• Internship experience or coursework related to time studies or process optimization
• Familiarity with statistical analysis software (e.g., Minitab, R)
• Experience with Lean or Six Sigma principles

Technical Skills and Relevant Technologies

• Knowledge of time study techniques and process mapping
• Ability to analyze and interpret data to inform decision-making
• Familiarity with project management software and tools

Soft Skills and Cultural Fit

• Strong analytical and problem-solving abilities
• Excellent communication skills, both verbal and written
• Ability to work collaboratively within a team environment
• Enthusiasm for learning and professional development

Benefits and Perks

This is a fully remote position, allowing for flexibility in your work environment. We offer a competitive salary range of [$SALARY_RANGE] along with a comprehensive benefits package that may include:

• Health, dental, and vision insurance
• Retirement savings plans
• Professional development opportunities
• Generous paid time off policies
• Wellness programs and stipends

Equal Opportunity Statement

[$COMPANY_NAME] is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.

Location

This is a fully remote position, and candidates can work from anywhere.

We encourage applicants from all backgrounds and experiences to apply, even if you don't meet all the listed qualifications. If you're passionate about optimizing processes and excited to learn, we'd love to hear from you!

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a skilled Time Study Technologist to join the team at [$COMPANY_NAME]. In this role, you will play a crucial part in analyzing and optimizing processes across various departments, leveraging data-driven insights to enhance operational efficiency and drive continuous improvement initiatives.

Responsibilities

• Conduct detailed time studies and process analyses to identify opportunities for efficiency gains and resource optimization.
• Collaborate with cross-functional teams to gather and interpret data, ensuring alignment with organizational goals.
• Develop and maintain standardized work procedures and documentation to promote consistency and best practices.
• Utilize statistical methods and software tools to analyze time study data and present findings to stakeholders.
• Lead training sessions to educate teams on time study methodologies and the importance of process optimization.
• Monitor and evaluate the impact of implemented improvements, providing recommendations for ongoing enhancements.

Required and Preferred Qualifications

Required:

• Bachelor's degree in Industrial Engineering, Operations Management, or a related field.
• 2+ years of experience in time study analysis or process improvement roles.
• Proficiency in data analysis tools such as Excel, Minitab, or similar software.
• Strong understanding of Lean and Six Sigma methodologies.
• Excellent analytical and problem-solving skills with a keen attention to detail.

Preferred:

• Experience in a manufacturing or healthcare setting.
• Certification in Lean Six Sigma (Green Belt or Black Belt).
• Familiarity with project management principles and tools.

Technical Skills and Relevant Technologies

• Proficient in data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
• Experience with process mapping and workflow analysis software.
• Ability to use statistical software to perform complex analyses.

Soft Skills and Cultural Fit

• Strong communication skills, both verbal and written, with the ability to convey complex concepts to diverse audiences.
• Demonstrated ability to work independently and collaboratively in a team-oriented environment.
• Proactive mindset with a passion for continuous improvement and operational excellence.
• Strong organizational skills, capable of managing multiple projects simultaneously.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Comprehensive health insurance plans
• 401(k) retirement savings plan with company match
• Generous paid time off and holidays
• Professional development opportunities
• Flexible work arrangements and remote work options

Equal Opportunity Statement

[$COMPANY_NAME] is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, or any other characteristic protected by law.

Location

This is a remote position within [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a highly skilled Lead Time Study Technologist to join our innovative team. In this critical role, you will leverage your expertise in time studies and process optimization to drive improvements in operational efficiency across our organization. You will be the architect of sophisticated time study methodologies, utilizing data analysis to enhance productivity and streamline workflows.

Responsibilities

Time Study Development and Implementation:

• Design and implement comprehensive time study methodologies that capture accurate and actionable data across various operational processes.
• Conduct time studies in a variety of settings, ensuring meticulous data collection and analysis to identify areas for improvement.
• Develop and maintain documentation for time study protocols, ensuring compliance with best practices and regulatory standards.

Data Analysis and Reporting:

• Analyze time study data to identify trends, inefficiencies, and opportunities for process enhancements.
• Create detailed reports and presentations to communicate findings and recommendations to stakeholders at all levels of the organization.
• Collaborate with cross-functional teams to implement recommended changes and monitor their impact on operational efficiency.

Training and Leadership:

• Provide training and mentorship to team members on time study techniques, data analysis, and process improvement initiatives.
• Lead project teams in executing time study initiatives, ensuring alignment with organizational goals and priorities.
• Foster a culture of continuous improvement by promoting best practices and innovative solutions within the organization.

Required Qualifications

• 5+ years of experience in time study analysis, process optimization, or a related field.
• Proficient in statistical analysis software and data visualization tools.
• Strong analytical skills with the ability to interpret complex data sets and translate findings into actionable insights.
• Experience leading cross-functional projects and collaborating with diverse teams to drive change.
• Excellent verbal and written communication skills, with a proven ability to influence stakeholders.

Preferred Qualifications

• Advanced degree in Industrial Engineering, Operations Management, or a related discipline.
• Familiarity with Lean Six Sigma methodologies and continuous improvement frameworks.
• Experience with project management tools and methodologies.
• Knowledge of industry-specific regulations and compliance standards.

Technical Skills and Relevant Technologies

• Expertise in statistical analysis and data visualization tools (e.g., Excel, Minitab, Tableau).
• Proficient in using time study software and tools.
• Strong understanding of workflow analysis and process mapping techniques.

Soft Skills and Cultural Fit

• Proactive problem solver with a results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment with minimal supervision.
• Strong interpersonal skills, with the ability to build relationships and work collaboratively across teams.
• A passion for fostering a culture of continuous improvement and innovation.

Benefits and Perks

Salary: [$SALARY_RANGE]

Full-time offers include:

• Flexible work hours and remote work options.
• Comprehensive health, dental, and vision insurance.
• 401(k) with company matching.
• Generous paid time off and wellness programs.
• Professional development opportunities and training.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to fostering a diverse and inclusive workplace. We encourage applicants from all backgrounds and experiences to apply, as we are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, or any other basis protected by applicable law.

Location

This is a fully remote position.

Note: This position is subject to global data privacy regulations (GDPR and CCPA). By submitting your application, you agree to our data processing terms as outlined in our Global Data Privacy Notice for Job Candidates and Applicants.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a detail-oriented Time Study Analyst to join our team. In this role, you will analyze time and motion studies to identify efficiencies and recommend process improvements that drive operational excellence. You will work closely with various departments to gather data, perform statistical analyses, and present findings that influence strategic decisions.

Responsibilities

• Conduct time and motion studies to assess and enhance operational efficiency across various workflows.
• Utilize statistical analysis tools to evaluate data and identify trends or areas for improvement.
• Collaborate with cross-functional teams to gather insights and validate findings.
• Develop and maintain detailed reports that clearly communicate study outcomes and recommendations.
• Implement continuous improvement initiatives based on data-driven analysis and stakeholder feedback.
• Provide training and support to team members on best practices for time studies and process optimization.

Required and Preferred Qualifications

Required:

• Bachelor's degree in Industrial Engineering, Statistics, Business Administration, or a related field.
• 2+ years of experience in time study analysis, process improvement, or operational efficiency roles.
• Proficiency in statistical analysis software (e.g., Minitab, R, Python) and Microsoft Excel.
• Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.

Preferred:

• Experience in a manufacturing or logistics environment.
• Familiarity with Lean Six Sigma methodologies.
• Excellent presentation and communication skills, with experience in conveying technical information to non-technical stakeholders.

Technical Skills and Relevant Technologies

• Proficient in data analysis and visualization tools (e.g., Tableau, Power BI).
• Experience with process mapping tools and methodologies.
• Knowledge of workflow design and optimization principles.

Soft Skills and Cultural Fit

• Strong problem-solving skills with a focus on continuous improvement.
• Ability to work independently and collaboratively in a remote work environment.
• Exceptional attention to detail, with a commitment to delivering high-quality work.
• Proactive attitude and a passion for driving efficiency within the organization.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Flexible work hours and remote work options.
• Professional development opportunities and training programs.
• Generous paid time off and holidays.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law.

Location

This is a remote position within [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a detail-oriented and analytical Industrial Engineer with a strong focus on time studies to join our team at [$COMPANY_NAME]. In this role, you will be instrumental in optimizing processes and enhancing operational efficiency through meticulous analysis of time and motion studies. Your insights will drive key initiatives that improve productivity and streamline workflows across our organization.

Responsibilities

• Conduct comprehensive time and motion studies to gather data on production processes and workflows
• Analyze collected data to identify inefficiencies and recommend process improvements
• Develop and maintain standard operating procedures (SOPs) that reflect best practices in operational efficiency
• Collaborate with cross-functional teams to implement process enhancements and monitor their effectiveness
• Utilize statistical analysis tools to interpret time study results and present findings to stakeholders
• Design and conduct experiments to test new methods or technologies aimed at reducing cycle times and increasing throughput
• Provide training and guidance to staff on time management principles and productivity techniques

Required and Preferred Qualifications

Required:

• Bachelor’s degree in Industrial Engineering, Operations Management, or a related field
• 3+ years of experience in industrial engineering with a focus on time studies and process optimization
• Proficiency in data analysis tools and methodologies, including statistical software
• Strong understanding of lean manufacturing principles and continuous improvement methodologies
• Excellent problem-solving skills and a keen attention to detail

Preferred:

• Master's degree in Industrial Engineering or a related field
• Experience with simulation software and process mapping tools
• Familiarity with Six Sigma methodologies and certifications

Technical Skills and Relevant Technologies

• Proficient in statistical analysis software (e.g., Minitab, SPSS) and Microsoft Excel
• Experience with process mapping and simulation tools (e.g., Visio, Arena)
• Knowledge of CAD software for layout design and optimization

Soft Skills and Cultural Fit

• Exceptional analytical and critical thinking capabilities
• Strong communication skills, both written and verbal, to effectively convey complex information
• Ability to work collaboratively in a team-oriented environment while also being self-motivated
• Adaptable and open-minded, with a willingness to embrace change and innovation

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Full-time employees enjoy a comprehensive benefits package, including:

• Health, dental, and vision insurance
• 401(k) with company matching
• Generous paid time off and holidays
• Professional development opportunities and tuition reimbursement
• Flexible working hours and a supportive remote work environment

Equal Opportunity Statement

[$COMPANY_NAME] is committed to fostering a diverse and inclusive workplace. We are an Equal Opportunity Employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, age, disability, or any other characteristic protected by law.

Location

This is a remote position within [$COMPANY_LOCATION].

We encourage applicants from all backgrounds to apply, even if you don't meet every qualification listed. Your unique perspectives and experiences are valuable to our team.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

[$COMPANY_NAME] is seeking a Senior Time Study Technologist to lead advanced work measurement, time-motion analysis, and operational research initiatives that drive productivity, safety, and cost-to-serve optimization. In this senior role you will architect and operationalize robust time-study programs across multiple sites, integrate digital data capture and computer vision workflows, and translate quantitative findings into engineering-ready requirements, SOPs, and capacity models. You will partner with operations leadership, industrial engineering, UX/ergonomics, and data science to deliver measurable throughput and quality improvements.

Responsibilities

• Design, lead and own end-to-end time study programs: protocol design, sampling strategy, observer training, data capture (manual and digital), analysis, and reporting across distribution, manufacturing, or service environments.
• Architect and deploy digital time-capture solutions including high-frame-rate video, wearable sensors (IMUs), barcode/RFID triggers, and ergonomics assessment tools; integrate with data pipelines and databases for downstream analytics.
• Develop and validate automated motion and activity recognition workflows using computer vision toolkits (OpenCV, MediaPipe) and machine learning inference where appropriate; establish accuracy and reliability metrics.
• Create statistically sound sampling plans (stratified, systematic, cluster), compute confidence intervals and required sample sizes, and quantify measurement error and bias for continuous improvement initiatives.
• Analyze large time-and-motion datasets using Python/R and SQL to extract cycle times, takt time, utilization, variability, bottlenecks and value/non-value-added activities; produce actionable recommendations with estimated business impact.
• Lead cross-functional workshops to translate time-study results into operational changes: capacity planning, line balancing, layout changes, staffing models, SOP updates, and tooling investments.
• Mentor and train a distributed team of technicians and junior analysts on observer reliability, data collection standards, measurement system analysis (MSA), and field tooling.
• Define KPIs and dashboards (Power BI, Looker, Tableau) to monitor changes over time; partner with analytics/BI to automate recurring reports and alerts.
• Maintain rigorous data governance and privacy practices for video and sensor data; manage consent workflows and secure storage in accordance with company policy and applicable law.
• Author technical documentation, standard operating procedures, and Architecture Decision Records (ADRs) for measurement systems and instrumentation choices.

Required Qualifications

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Human Factors, Operations Research, Applied Statistics or a closely related technical field; Master’s preferred.
• 6+ years of progressive experience designing and running time studies, work measurement, time-and-motion analysis, or industrial engineering projects in high-throughput operational environments.
• Proven expertise with digital data capture methods: high-resolution video, wearable sensors, barcode/RFID, and synchronized multi-source logging.
• Strong programming and analysis skills: Python (pandas, numpy), R, SQL; experience building reproducible analysis pipelines and unit-tested code for data processing.
• Demonstrated ability to design statistically valid sampling plans, compute sample sizes, assess inter-rater reliability, and perform measurement system analysis.
• Experience deploying computer vision or rule-based activity recognition workflows in production or near-production environments.
• Track record of delivering measurable operational impact (e.g., throughput increase, takt time reduction, FTE reallocation) and building business cases for improvements.
• Excellent written and verbal technical communication skills; experience presenting to senior leadership and translating technical results to operational decision-makers.

Preferred Qualifications

• MS or higher in a quantitative field (Industrial Engineering, Statistics, Human Factors, Computer Vision).
• Experience with annotation tools (Labelbox, CVAT), ML model evaluation metrics (precision/recall/ROC), and lightweight model deployment (TensorFlow Lite, ONNX Runtime).
• Familiarity with cloud data platforms (AWS S3, Athena, Redshift, GCP BigQuery) and containerized workflows (Docker, Kubernetes) for reproducible processing.
• Experience with process improvement methodologies: Lean, Six Sigma (Green/Black Belt), 5S, Kaizen—able to lead DMAIC projects end-to-end.
• Experience integrating time-study outputs into workforce management and scheduling systems (Kronos/Workday/UKG/etc.).

Technical Skills and Relevant Technologies

• Programming: Python (pandas, numpy), R, SQL; version control with Git; CI/CD basics for analytics pipelines.
• Computer Vision & Sensing: OpenCV, MediaPipe, basic ML inference frameworks, IMU data processing, synchronization of multi-modal signals.
• Data & BI: ETL best practices, relational and columnar databases, Power BI/Looker/Tableau dashboarding.
• Statistical Methods: sampling design, hypothesis testing, ANOVA, confidence intervals, MSA, reliability statistics (Cohen's kappa, ICC).
• Operational Tools: barcode/RFID systems, high-speed video capture, wearable sensors, ergonomic assessment tools (REBA, RULA).
• Process Improvement: Lean/Six Sigma methodologies, value stream mapping, capacity planning and line balancing tools.

Soft Skills and Cultural Fit

• Leadership: history of leading cross-functional initiatives, influencing without authority, and driving measurable change.
• Coaching: proven experience mentoring technicians and analysts on rigorous data collection and analysis practices.
• Analytical Communication: ability to craft concise, data-driven recommendations and present ROI to senior stakeholders.
• Attention to Detail: meticulous about measurement validity, timestamp synchronization, and documentation.
• Bias for Action: comfortable designing pragmatic studies under operational constraints and iterating quickly based on pilot results.
• Inclusive collaborator: committed to building diverse teams and incorporating frontline operator feedback into technical solutions.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

• Comprehensive medical, dental, and vision insurance
• 401(k) or local equivalent with company match
• Generous paid time off, parental leave, and flexible scheduling
• Professional development stipend and certification reimbursement (Six Sigma, Lean, data science courses)
• Relocation assistance for eligible candidates
• Equipment allowance for field data capture devices and remote analysis workstation

Equal Opportunity Statement

[$COMPANY_NAME] is an equal opportunity employer and is committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We encourage applicants from underrepresented groups to apply.

Location

This role is primarily on-site at [$COMPANY_LOCATION] with occasional travel between sites and to vendor locations. Candidates must be able to perform field data collection and site-based observations as required.

Application Instructions

We encourage applicants with diverse backgrounds and experiences to apply even if your profile does not meet every listed qualification. Please submit a resume and brief cover letter highlighting relevant time-study programs, tooling you have implemented, and a short description of an operational impact you delivered.