Data Analyst II-HybridLocationUS-CA-ValenciaID2024-1185CategoryBusiness Strategy ExecutionPosition TypeFull-TimeRemoteNoOverviewThe Data Analyst II participates as a technical resource in data analysis, data integration (e.g., inspecting, cleansing, validating, transforming, and modeling), and data management. Utilizes a thorough knowledge of data analysis, information systems data structures, and data management methodologies to align business insight with corporate goals and strategies. The Data Analyst II coordinates and assists with requirements gathering sessions internal customers and presents their findings to the business unit.ResponsibilitiesCommunicates with cross-functional teams to align data activities to key business goals and initiatives. Generates custom analytics and performs data analysis using statistical techniques and analytics tools. Present findings to leadership.Conducts data integration and database data management for use by various units and business processes.Identifies and interprets trends or patterns in complex data.Generates custom reports and performs data analysis using statistical techniques.Creates data models for efficient systems usage and performance analysis.Creates data flows diagrams and visualizations to communicate information clearly and effectively.Writes database queries and stored procedures to streamline development needs of developers and project teams.Acquires data from primary and secondary data sources and ensures accuracy, consistency, timeliness and integrity of data.Works with business units to prioritize business and information needs and align analytics to business processes.Creates data architecture models and reference architecture; collaborates with IT resources to validate and implement strategic data technologies.Documents logical data structure (e.g., data mapping from source to target), field definitions, and any calculations and transformations along the data pipeline.Work within their team and have a direct impact on themselves and their direct processes.QualificationsEducationMin/Preferred: PreferredEducation Level: 4 Year / Bachelors DegreeDescription: Bachelor's degree or equivalent work experience in statistics, data analysis, data mining, computer science or information management.ExperienceMinimum Years of Experience: 2Preferred Years of Experience: 4Comments:2-4 years of experience in data analysis or digital analytics required.2-4 years of experience in data reporting required.Knowledge, Skills & AbilityMust have a solid knowledge of Microsoft Excel and be comfortable working with spreadsheets and complex formulas.Fluent in SQL and data manipulation within a multi-terabyte cloud environmentExperience in all aspects of data management involving large data sets (data gathering, profiling, validation, and analysis).Experience with creating data flow diagrams (e.g., mapping documents) and requirements documents.Ability to clearly communicate with managers and associates at all levels.Experience with Tableau, MicroStrategy, PowerBI, or other established BI tools preferred.Experience with and understands "Big Data" concepts and technologies such as Hadoop preferred.Experience with cloud technologies such as AWS and Azure preferred.Experience with financial systems preferred.Python or R experience preferred.Use existing tools/processes to solve tasks/issues assigned to them.DisclaimerLogix Federal Credit Union is an equal opportunity employer that does not discriminate in employment opportunities or practices on the basis of race, religion, color, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other status protected by law.Pay RangeUSD $73,700.80 - USD $110,551.20 /Yr.#J-18808-Ljbffr

**Job Description** One of the best-known names in cruising, Princess is the worlds leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply cant. The Love Boat promises something for everyone. The Data Analyst will work as part of a broader Data Science and Operations Quality team to deliver actionable insights that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience, both within the fleet and shoreside. The Data Analysts core focus on quantitative analysis, data visualization, and report creation plays a key role in driving operational understanding and efficiency. Through collaboration with internal stakeholders and across business areas, the Data Analyst will deliver data projects that provide meaningful and lasting value to Hotel Operations and Princess Cruises as a whole. Heres a summary of what Princess is looking for in its Data Analyst. Is this you? **Responsibilities** + Reporting and Dashboards: Develop, enhance, and maintain interactive dashboards and reports using Power BI and Tableau to provide key insights into guest experience metrics, operational performance, and customer relations. Analyze onboard data, survey data, and customer relations data to identify trends, patterns, PCC%, and insights. Deliver comprehensive voyage-level insights on stateroom, compensation by stateroom, loyalty, incident categories, voyage comparison, and incidents to improve understanding of the customer journey. + Data Collection and Analysis: Collect and analyze data from various sources to identify trends, patterns, and opportunities related to guest experience and operational efficiency. Work closely with internal stakeholders to understand data requirements and ensure data accuracy. Enhance data collection to capture valuable data necessary to analyze operations and construct a data warehouse to integrate data from multiple systems to optimize further data analytics and ensure data quality. + Data Visualization: Create compelling visualizations to communicate complex data findings in a clear and understandable manner. Present findings to key stakeholders, including department heads, using visualizations and reports. Utilize data visualization tools (Python, Tableau, Power BI) to generate guest insights and identify customer characteristics. + Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. Build the infrastructure necessary for optimal data extraction, transformation, and loading from various sources using SQL. + Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. + Support Key Driver Analysis and perform exploratory and prescriptive analyses to study the category impact on NPS and identify drivers. **_Please note that this a long term temp to hire contract position and you will be hired and paid through our payrolling agency. This position is 100% remote._** **Requirements** + Bachelors or masters degree in data science, Analytics, Computer Science, Engineer, Information Technology or equivalent educational or job experience. + Minimum 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a masters degree). + Proficiency in data visualization tools such as Tableau, Power BI, or equivalent. + Extensive experience with SQL and database concepts required. + Extensive experience with Excel required. + Python is a plus. + Experience writing ETL processes a plus. + Excellent analytical and problem-solving abilities. + Strong experience with database systems, both SQL and NoSQL, and their optimization. + Ability to work independently and in a team environment with a positive attitude. + Strong organizational and documentation skills with a keen attention to detail. + Willingness to take initiative and to follow through on projects and highly self-motivated. + Effective communication skills with the ability to convey complex findings to non-technical stakeholders. **What You Can Expect** + Base Hourly Range: $30.00 to $40.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely. **#PCL**

Data Analyst II-Hybrid

Location

US-CA-Valencia

ID

2024-1185

Category

Business Strategy Execution

Position Type

Full-Time

Remote

No

Overview

The Data Analyst II participates as a technical resource in data analysis, data integration (e.g., inspecting, cleansing, validating, transforming, and modeling), and data management. Utilizes a thorough knowledge of data analysis, information systems data structures, and data management methodologies to align business insight with corporate goals and strategies. The Data Analyst II coordinates and assists with requirements gathering sessions internal customers and presents their findings to the business unit.

Responsibilities

Communicates with cross-functional teams to align data activities to key business goals and initiatives. Generates custom analytics and performs data analysis using statistical techniques and analytics tools. Present findings to leadership.
Conducts data integration and database data management for use by various units and business processes.
Identifies and interprets trends or patterns in complex data.
Generates custom reports and performs data analysis using statistical techniques.
Creates data models for efficient systems usage and performance analysis.
Creates data flows diagrams and visualizations to communicate information clearly and effectively.
Writes database queries and stored procedures to streamline development needs of developers and project teams.
Acquires data from primary and secondary data sources and ensures accuracy, consistency, timeliness and integrity of data.
Works with business units to prioritize business and information needs and align analytics to business processes.
Creates data architecture models and reference architecture; collaborates with IT resources to validate and implement strategic data technologies.
Documents logical data structure (e.g., data mapping from source to target), field definitions, and any calculations and transformations along the data pipeline.
Work within their team and have a direct impact on themselves and their direct processes.

Qualifications

Education
Min/Preferred: Preferred
Education Level: 4 Year / Bachelors Degree
Description: Bachelor's degree or equivalent work experience in statistics, data analysis, data mining, computer science or information management.
Experience
Minimum Years of Experience: 2
Preferred Years of Experience: 4
Comments:
2-4 years of experience in data analysis or digital analytics required.
2-4 years of experience in data reporting required.
Knowledge, Skills & Ability
Must have a solid knowledge of Microsoft Excel and be comfortable working with spreadsheets and complex formulas.
Fluent in SQL and data manipulation within a multi-terabyte cloud environment
Experience in all aspects of data management involving large data sets (data gathering, profiling, validation, and analysis).
Experience with creating data flow diagrams (e.g., mapping documents) and requirements documents.
Ability to clearly communicate with managers and associates at all levels.
Experience with Tableau, MicroStrategy, PowerBI, or other established BI tools preferred.
Experience with and understands "Big Data" concepts and technologies such as Hadoop preferred.
Experience with cloud technologies such as AWS and Azure preferred.
Experience with financial systems preferred.
Python or R experience preferred.
Use existing tools/processes to solve tasks/issues assigned to them.
Disclaimer
Logix Federal Credit Union is an equal opportunity employer that does not discriminate in employment opportunities or practices on the basis of race, religion, color, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other status protected by law.

Pay Range

USD $73,700.80 - USD $110,551.20 /Yr.

#J-18808-Ljbffr

**Job Description** One of the best-known names in cruising, Princess is the worlds leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply cant. The Love Boat promises something for everyone. The Princess Summer Internship Program is a 10-week paid (remote) summer internship opportunity designed to provide exposure and insight to professional careers in the amazing leisure travel, cruise industry. The selected interns will work on departmental projects as well as participate in professional development and enrichment activities. **2025 Program Dates (two options)** + Program runs 10 weeks from June 9th - August 18th or June 16th - August 25th. **Eligibility** + Eligible candidates are enrolled in a four-year accredited undergraduate program (where they are at least a rising junior) or in a graduate/Ph.D. program and have a GPA of 3.0 or higher. + MUST NOT be a graduating senior in the summer 2025. **Compensation** + Undergraduate - $25.00/hr, Graduate - $35.00/hr, Ph.D. - $45.00/hr **Internship Project Details ** + Data source migration: Redirect source data from legacy AMOS to MAST AMOS and ensure accuracy and auto refreshable of the reports. + Data quality and verification + Process improvement and procedure documentation + Collaborating on variance root cause analysis, updating / correcting the system, and preventative matters + Determine root cause for reporting anomalies and working with the greater team on corrective action / preventative action **Requirements** + Proficiency using MS office Suite including Outlook & MS Teams + Ability to work independently, remotely and self-manage + Well organized and able to communicate effectively with colleagues and managers. + The types of duties the students will perform will vary and may require some technical tasks, projects and/or work that may require specific proficiencies, technical abilities and/or computer skills. **Majors Preferred** + Masters degree in Data Science, Industrial Engineering, Supply Chain Management/Engineering **Skills Preferred** + Advanced Microsoft Excel (Power Pivot, Power Query, VBA) + Must be able to demonstrate analytical skillset + Proficient with SQL, Data visualization tools (PBI, Tableau, etc.) + MS Words, Power Points, Visio **What You Can Expect** + Gain valuable experience. Gain confidence. + Explore a new career path. + Opens the opportunity to a future full-time job after graduation. + Develop and refine skills. + Network with professionals in the field. + Develop an understanding of the type of working environment, field and industry that align with your career goals. + Obtain job-related skills and experiences that will enhance your qualifications for future opportunities. **Deadlines** + Our 2025 application period will close on November 30, 2024. **Our Culture Stronger Together** Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: **https://www.princess.com/aboutus/culture-framework/** Princess is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. **Americans with Disabilities Act (ADA)** Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact recruiting@hollandamericagroup.com **#PCL**

<h3>Job Description</h3> One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone. The Data Analyst will work as part of a broader Data Science and Operations Quality team to deliver actionable insights that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience, both within the fleet and shoreside. The Data Analyst’s core focus on quantitative analysis, data visualization, and report creation plays a key role in driving operational understanding and efficiency. Through collaboration with internal stakeholders and across business areas, the Data Analyst will deliver data projects that provide meaningful and lasting value to Hotel Operations and Princess Cruises as a whole. Here’s a summary of what Princess is looking for in its Data Analyst. Is this you? Responsibilities <ul> <li>Reporting and Dashboards: Develop, enhance, and maintain interactive dashboards and reports using Power BI and Tableau to provide key insights into guest experience metrics, operational performance, and customer relations. Analyze onboard data, survey data, and customer relations data to identify trends, patterns, PCC%, and insights. Deliver comprehensive voyage-level insights on stateroom, compensation by stateroom, loyalty, incident categories, voyage comparison, and incidents to improve understanding of the customer journey.</li> <li>Data Collection and Analysis: Collect and analyze data from various sources to identify trends, patterns, and opportunities related to guest experience and operational efficiency. Work closely with internal stakeholders to understand data requirements and ensure data accuracy. Enhance data collection to capture valuable data necessary to analyze operations and construct a data warehouse to integrate data from multiple systems to optimize further data analytics and ensure data quality.</li> <li>Data Visualization: Create compelling visualizations to communicate complex data findings in a clear and understandable manner. Present findings to key stakeholders, including department heads, using visualizations and reports. Utilize data visualization tools (Python, Tableau, Power BI) to generate guest insights and identify customer characteristics.</li> <li>Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. Build the infrastructure necessary for optimal data extraction, transformation, and loading from various sources using SQL.</li> <li>Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.</li> <li>Support Key Driver Analysis and perform exploratory and prescriptive analyses to study the category impact on NPS and identify drivers.</li> </ul> Requirements <ul> <li>Bachelor’s or master’s degree in data science, Analytics, Computer Science, Engineer, Information Technology or equivalent educational or job experience.</li> <li>Minimum 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a master’s degree).</li> <li>Proficiency in data visualization tools such as Tableau, Power BI, or equivalent.</li> <li>Extensive experience with SQL and database concepts required.</li> <li>Extensive experience with Excel required.</li> <li>Python is a plus.</li> <li>Experience writing ETL processes a plus.</li> <li>Excellent analytical and problem-solving abilities.</li> <li>Strong experience with database systems, both SQL and NoSQL, and their optimization.</li> <li>Ability to work independently and in a team environment with a positive attitude.</li> <li>Strong organizational and documentation skills with a keen attention to detail.</li> <li>Willingness to take initiative and to follow through on projects and highly self-motivated.</li> <li>Effective communication skills with the ability to convey complex findings to non-technical stakeholders.</li> </ul> What You Can Expect <ul> <li>Base Hourly Range: $30.00 to $40.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely.</li> </ul>
#J-18808-Ljbffr

Job Description One of the best-known names in cruising, Princess is the world's leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can't. The Love Boat promises something for everyone. The Data Analyst will work as part of a broader Data Science and Operations Quality team to deliver actionable insights that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience, both within the fleet and shoreside. The Data Analyst's core focus on quantitative analysis, data visualization, and report creation plays a key role in driving operational understanding and efficiency. Through collaboration with internal stakeholders and across business areas, the Data Analyst will deliver data projects that provide meaningful and lasting value to Hotel Operations and Princess Cruises as a whole. Here's a summary of what Princess is looking for in its Data Analyst. Is this you? Responsibilities <ul> <li>Reporting and Dashboards: Develop, enhance, and maintain interactive dashboards and reports using Power BI and Tableau to provide key insights into guest experience metrics, operational performance, and customer relations. Analyze onboard data, survey data, and customer relations data to identify trends, patterns, PCC%, and insights. Deliver comprehensive voyage-level insights on stateroom, compensation by stateroom, loyalty, incident categories, voyage comparison, and incidents to improve understanding of the customer journey. </li><li>Data Collection and Analysis: Collect and analyze data from various sources to identify trends, patterns, and opportunities related to guest experience and operational efficiency. Work closely with internal stakeholders to understand data requirements and ensure data accuracy. Enhance data collection to capture valuable data necessary to analyze operations and construct a data warehouse to integrate data from multiple systems to optimize further data analytics and ensure data quality. </li><li>Data Visualization: Create compelling visualizations to communicate complex data findings in a clear and understandable manner. Present findings to key stakeholders, including department heads, using visualizations and reports. Utilize data visualization tools (Python, Tableau, Power BI) to generate guest insights and identify customer characteristics. </li><li>Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. Build the infrastructure necessary for optimal data extraction, transformation, and loading from various sources using SQL. </li><li>Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. </li><li>Support Key Driver Analysis and perform exploratory and prescriptive analyses to study the category impact on NPS and identify drivers. </li></ul>Please note that this a long term temp to hire contract position and you will be hired and paid through our payrolling agency.This position is 100% remote. Requirements <ul> <li>Bachelor's or master's degree in data science, Analytics, Computer Science, Engineer, Information Technology or equivalent educational or job experience. </li><li>Minimum 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a master's degree). </li><li>Proficiency in data visualization tools such as Tableau, Power BI, or equivalent. </li><li>Extensive experience with SQL and database concepts required. </li><li>Extensive experience with Excel required. </li><li>Python is a plus. </li><li>Experience writing ETL processes a plus. </li><li>Excellent analytical and problem-solving abilities. </li><li>Strong experience with database systems, both SQL and NoSQL, and their optimization. </li><li>Ability to work independently and in a team environment with a positive attitude. </li><li>Strong organizational and documentation skills with a keen attention to detail. </li><li>Willingness to take initiative and to follow through on projects and highly self-motivated. </li><li>Effective communication skills with the ability to convey complex findings to non-technical stakeholders. </li></ul>What You Can Expect <ul> <li>Base Hourly Range: $30.00 to $40.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely. </li> </ul>#PCL

Job Description One of the best-known names in cruising, Princess is the world's leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can't. The Love Boat promises something for everyone. The Data Analyst will work as part of a broader Data Science and Operations Quality team to deliver actionable insights that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience, both within the fleet and shoreside. The Data Analyst's core focus on quantitative analysis, data visualization, and report creation plays a key role in driving operational understanding and efficiency. Through collaboration with internal stakeholders and across business areas, the Data Analyst will deliver data projects that provide meaningful and lasting value to Hotel Operations and Princess Cruises as a whole. Here's a summary of what Princess is looking for in its Data Analyst. Is this you? Responsibilities <ul> <li>Reporting and Dashboards: Develop, enhance, and maintain interactive dashboards and reports using Power BI and Tableau to provide key insights into guest experience metrics, operational performance, and customer relations. Analyze onboard data, survey data, and customer relations data to identify trends, patterns, PCC%, and insights. Deliver comprehensive voyage-level insights on stateroom, compensation by stateroom, loyalty, incident categories, voyage comparison, and incidents to improve understanding of the customer journey.</li> <li>Data Collection and Analysis: Collect and analyze data from various sources to identify trends, patterns, and opportunities related to guest experience and operational efficiency. Work closely with internal stakeholders to understand data requirements and ensure data accuracy. Enhance data collection to capture valuable data necessary to analyze operations and construct a data warehouse to integrate data from multiple systems to optimize further data analytics and ensure data quality.</li> <li>Data Visualization: Create compelling visualizations to communicate complex data findings in a clear and understandable manner. Present findings to key stakeholders, including department heads, using visualizations and reports. Utilize data visualization tools (Python, Tableau, Power BI) to generate guest insights and identify customer characteristics.</li> <li>Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. Build the infrastructure necessary for optimal data extraction, transformation, and loading from various sources using SQL.</li> <li>Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.</li> <li>Support Key Driver Analysis and perform exploratory and prescriptive analyses to study the category impact on NPS and identify drivers. </li></ul>Please note that this a long term temp to hire contract position and you will be hired and paid through our payrolling agency. This position is 100% remote. Requirements <ul> <li>Bachelor's or master's degree in data science, Analytics, Computer Science, Engineer, Information Technology or equivalent educational or job experience. </li> <li>Minimum 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a master's degree). </li> <li>Proficiency in data visualization tools such as Tableau, Power BI, or equivalent. </li> <li>Extensive experience with SQL and database concepts required. </li> <li>Extensive experience with Excel required. </li> <li>Python is a plus. </li> <li>Experience writing ETL processes a plus. </li> <li>Excellent analytical and problem-solving abilities. </li> <li>Strong experience with database systems, both SQL and NoSQL, and their optimization. </li> <li>Ability to work independently and in a team environment with a positive attitude. </li> <li>Strong organizational and documentation skills with a keen attention to detail. </li> <li>Willingness to take initiative and to follow through on projects and highly self-motivated. </li> <li>Effective communication skills with the ability to convey complex findings to non-technical stakeholders. </li> </ul>What You Can Expect <ul> <li>Base Hourly Range: $30.00 to $40.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely. </li></ul> #PCL

GP Strategies Corporation is one of the world's leading talent transformation providers. By delivering award-winning learning and development solutions, we help organizations transform through their people and achieve meaningful change. GP Strategies has delivered our innovative consulting, learning services, and talent technology solutions to over 6,000 organizations globally. From our global experience working across thousands of projects and initiatives over the past 55 years, we've learned that relationships, business, work, innovation, strategy, and transformation are all about people. And, to put it simply, GP Strategies is about our people - an extensive global network of learning experts. Additional information can be found at www.gpstrategies.com. Job Summary Maintain and update departmental performance reports, including data analysis of key performance indicators Develop and support new departmental reporting requests Fulfill data requests and PowerPoint presentations required for business planning meetings Assist with inquiries from stakeholders across departments and regions related to reports/reporting Actively participate in business planning meetings Qualifications Bachelor's degree in Business Analytics, Mathematics, Marketing, Business, Finance or related field Experience using Microsoft Office Suite Experience using Power BI software Strong communication skills and organizational skills Self-starter with ability to multi-task Preferred Qualifications Familiarity with French language Experience with COGNOS/QlikSense software and data modeling With more than 4000 employees in over 30 countries, diversity at GP Strategies is second nature! Beyond our locations, our culture focuses on performance and revolves around respect, fairness, and working collaboratively to achieve our goals. We support our People, no matter who they are or where they are from, because we all have valuable and unique perspectives and approaches. That's how great ideas are born, which enable us to work smarter. GP Strategies is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related conditions, sexual orientation, and gender identity), national origin, age, veteran status, disability, or any other federally protected class.

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