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This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV’s Global Marketing Operations data collection, operational metrics, and partner reporting capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV’s financial drivers.Key job responsibilities
* Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.* Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
* Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories.* Help drive new initiatives and data integration projects.
* Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.* Create marketing campaign forecasting capability that optimizes budget and staffing to meet marketing needs
* Prioritize effectively in a fast-paced environment and highly-matrixed organization.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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Key job responsibilities
- Retrieve and analyze data using SQL, Excel, and other data management systems.- Drive small to medium operational enhancement projects.
Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience.
- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
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Key job responsibilities
As a Data Associate some of your responsibilities will be, but not limited to:
• Be the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• Help create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Monitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• Work closely with engineers, scientists, and project managers to improve how we handle and process data
• Solve complex problems by finding their root causes and implementing lasting solutions
• Help make our tools and processes more efficient, often through automation
• Keep projects on track by coordinating with team members and clearly communicating progress
• Lead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards
- English language proficiency (written and spoken)
- 2+ years experience in Machine Learning and/or Data Labeling annotation activities.
- Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
- Proficient in Microsoft Excel with intermediate-level skills, including experience with data analysis, formulae, and data visualization.
- Familiarity with database management systems.
• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.
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Key job responsibilities
• Conduct pre-launch checks of high-value content, utilizing automation tools to ensure accuracy and efficiency
• Perform Root Cause Analyses (RCAs) to identify and address operational issues, preventing their recurrence
• Dynamically update and refine Standard Operating Procedures (SOPs) in response to new insights and technologies, maintaining operational agility
• Collaborate with cross-functional teams to enhance operational workflows and customer experienceA day in the life
• Bachelor's degree or 3-5 years of equivalent experience in a technical field
• Background in operations management or related field
• Fluency in English to effectively communicate with global stakeholders
• Knowledge of Lean principles and DMAIC methodology
• Experience with digital content delivery systems and workflows
• Experience in MS Access and SQL
• Familiarity with automation tools and methodologies
• A passion for technology and innovation, with a continuous learning mindset
• Problem-solving and process improvement skills
These jobs might be a good fit

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Key job responsibilities
• Conduct pre-launch checks of high-value content, utilizing automation tools to ensure accuracy and efficiency
• Perform Root Cause Analyses (RCAs) to identify and address operational issues, preventing their recurrence
• Dynamically update and refine Standard Operating Procedures (SOPs) in response to new insights and technologies, maintaining operational agility
• Collaborate with cross-functional teams to enhance operational workflows and customer experienceA day in the life
• Bachelor's degree or 3-5 years of equivalent experience in a technical field
• Background in operations management or related field
• Fluency in English to effectively communicate with global stakeholders
• Knowledge of Lean principles and DMAIC methodology
• Experience with digital content delivery systems and workflows
• Experience in MS Access and SQL
• Familiarity with automation tools and methodologies
• A passion for technology and innovation, with a continuous learning mindset
• Problem-solving and process improvement skills
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As a Workforce Analyst at Prime Air, you'll dive deep into operational data to optimize our workforce performance and drive efficiency. You'll work independently to analyze trends, develop forecasts, and create meaningful insights that directly impact our business success. This role offers the perfect blend of analytical problem-solving and operational improvement opportunities.
You'll be at the forefront of workforce optimization, leveraging data to make informed decisions while working closely with operations teams. Your day-to-day responsibilities will include analyzing workforce metrics, developing automated reporting solutions, and collaborating with stakeholders to implement process improvements. You'll monitor key performance indicators, conduct root cause analyses, create and maintain dashboards, and present findings to leadership. In this dynamic role, you'll balance multiple priorities while maintaining strict attention to detail, adapt quickly to changing business needs, and maintain high standards of accuracy and quality to enhance operational efficiency.
Key job responsibilities
As a WF Analyst some of your responsibilities will be, but not limited to:
• Analyze operational data to identify trends, patterns, and process improvement opportunities using SQL and visualization tools
• Create and maintain dashboards and performance reports to support data-driven decision making
• Monitor workforce metrics and service level adherence, ensuring accuracy and quality of all analyses
• Drive workforce capacity planning and optimization to achieve operational goals
• Conduct root cause analysis and develop solutions for operational challenges
• Support the development and enhancement of Workforce Management systems and tools
• Partner with operations teams to understand business needs and deliver actionable recommendations
• Present findings and updates to various stakeholders, driving change through clear delivery plans
• Manage multiple priorities while maintaining high standards of quality and accuracy
• Maintain documentation of processes and analyses
• Collaborate with technology teams on system improvements and automation opportunities
• 1+ year of experience in Workforce Management (Capacity planning, scheduling and Real Time Management).
• Excellent analytical and numerical skills.
• English language proficiency (written and spoken).
• Intermediate expertise in Microsoft Excel (Formulae, Pivot Tables, Power Query, etc.).
• Strong communication and presentation skills, both written and verbal.
• Knowledge of statistical analysis and forecasting methods.
• Bachelor's degree in Business, Analytics, Economics, or related field
• Advanced skills using Microsoft Excel in a business environment
• Experience with data visualization tools (e.g. Tableau, Power BI, Quicksight, etc)
• 2+ years’ experience in Operations or Contact Center Management.
• Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
These jobs might be a good fit

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Key job responsibilities
• Conduct pre-launch checks of high-value content, utilizing automation tools to ensure accuracy and efficiency
• Perform Root Cause Analyses (RCAs) to identify and address operational issues, preventing their recurrence
• Dynamically update and refine Standard Operating Procedures (SOPs) in response to new insights and technologies, maintaining operational agility
• Collaborate with cross-functional teams to enhance operational workflows and customer experienceA day in the life
• Bachelor's degree or 3-5 years of equivalent experience in a technical field
• Background in operations management or related field
• Fluency in English to effectively communicate with global stakeholders
• Knowledge of Lean principles and DMAIC methodology
• Experience with digital content delivery systems and workflows
• Experience in MS Access and SQL
• Familiarity with automation tools and methodologies
• A passion for technology and innovation, with a continuous learning mindset
• Problem-solving and process improvement skills
These jobs might be a good fit

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This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV’s Global Marketing Operations data collection, operational metrics, and partner reporting capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV’s financial drivers.Key job responsibilities
* Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.* Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
* Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories.* Help drive new initiatives and data integration projects.
* Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.* Create marketing campaign forecasting capability that optimizes budget and staffing to meet marketing needs
* Prioritize effectively in a fast-paced environment and highly-matrixed organization.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
These jobs might be a good fit