Business Process Engineer Salary in USA

Bachelor's Degree 3 plus years of previous management experience with direct reports a plus 5 plus years formal Process Improvement experience ( using Lean, Six Sigma, Re-Engineering or equivalent 10 plus years healthcare payer or provider experience preferred Knowledge of managed care operations and products (Medicaid or Medicare experience a plus); Understanding of basic financial and accounting terms; Knowledge of claims processing platforms; Experience with Provider Network Operations transactions and data Six Sigma (or Lean) Black Belt required. Master Black Belt is a bonus. Significant Large Scale Process Improvement experience required.. Proven Business Results from project initiatives worked as a Black Belt required.As a key member of the Business Process Management Center of Excellence, drives continuous process improvement throughout the enterprise. Leads cross-functional teams and works with key stakeholders to evaluate and streamline key back-office operations processes. The Business Process Engineer is the most senior, more technically skilled of the Business Process Management/Consulting team. As such, the Engineer may oversee efforts of the Business Process Manager/Consultants and analyze and make recommendations regarding the most complex and/or expansive operations processes.Serves as a catalyst for a culture of continuous improvement through the use of Lean philosophies and practices, as well as Six Sigma methods and process management approaches. Helps the organization adopt Process Improvement methods. Focus is on business processes and transactional operations.The Process Engineer will:Manage Business Process projects associated with process improvement activities key focus will be on improving processes impacting Provider Data Management and back office operations.Lead transaction based project teams to successful project completion and realization of the targeted benefits.Build and develop improved operations, processes and procedures to support AmeriHealth Mercy's growth.Assess processes to determine how to reduce rework, improve quality, improve efficiency, and improve our ability to meet customer requirements.Understand and interpret customer needs/issues in defining quality and establishing quality priorities.Train, coach and mentor future Process leaders and other improvement personnel in Business Process Improvement methodology.Help develop and foster a culture of "Process Thinking throughout the organization.Facilitate a high level of employee participation on teams and in events to foster high involvement, accountability and results.Break down organizational and cultural barriers to ensure the project teams are effective in reaching project resolution.Regular interface with Senior-level executives.Bachelor's DegreeRequiredPrevious management experience with direct reportsHighly desired3YearsFormal Process Improvement experience ( using Lean, Six Sigma, Re-Engineering or equivalentRequired5YearsHealthcare payer or provider experienceHighly desired10YearsKnowledge of managed care operations and products (Medicaid or Medicare experience a plus)Highly desiredUnderstanding of basic financial and accounting terms; Knowledge of claims processing platformsRequiredExperience with Provider Network Operations transactions and dataRequiredSix Sigma Black Belt required. Master Black BeltHighly desiredSignificant Large Scale Process Improvement experienceRequiredProven Business Results from project initiatives worked as a Black BeltRequiredAbility to travel up to 24%; possibility for telecommuter.Required

Process Engineer Paper Industry - Midwest & SouthSalary $90,000 - $130,000 + Profit Sharing Plan + Excellent benefits & Paid Relocation PackagePositions available in the Midwest & SouthWe are recruiting for a Process Engineer who will utilize expertise to enhance and optimize production needs on a paper machine, pulping, and/or converting areas of the mill while being mentored for a future growth opportunity.As a Process Engineer, you will continuously seek ways to improve yield and energy efficiency of the plant. Drawing upon your expertise, you will play a pivotal role in evaluating existing processes and facilitating system changes to reduce costs, improve sustainability, and develop best practices within the production process.Qualities such as internally motivated, results-oriented, and strong leadership capabilities are integral in this role. You’ll need to be a hands-on, technically trained, detail-oriented, and organized person with working knowledge of Paper Machines or Converting processes.Minimum requirements for these Process Engineering positions:• Degree in Engineering• Three plus years of process engineering experience in the paper industry.• Organized/Detail Oriented.TO APPLY: Email your resume OR cindyATaustinallenDOTcom in MS Word or PDF (please remove the capital letters and replace with proper symbols). * All Interview, relocation, & fee expenses paid by hiring companies. Hiring companies offer excellent compensation packages, benefits, and, where available, generous relocation assistance or packages.Areas of Specialization...* Engineering * Six Sigma Black Belts * Accounting * Distribution * Human Resources* Materials / Purchasing * Quality Engineers & Managers * Manufacturing Management

This role reports directly into the Process Engineering Manager and is responsible for:Manufacturing facility seeks a hands-on Process Engineer with expertise in the wire and cable industry to develop and optimize cost-effective manufacturing processes and methods aligned with product specifications and quality standards.Responsibilities include creating PFMEA/Control plans, developing manufacturing processes, reviewing equipment proposals, providing technical support to all departments, and assisting in process problem-solving.The role involves continuous improvement efforts to enhance efficiency's, product quality, and cost reduction, while also analyzing scrap trends and implementing project plans aligned with business objectives.The Process Engineer will have a working knowledge of material characteristics, conductor performances, and manufacturing processes, and will actively troubleshoot and modify processes to improve performance and efficiency.Additionally, the engineer will develop standardized procedures and One-Point Lessons to enhance manufacturing practices.MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.A successful candidate will have2-3 years of process engineering experience Six Sigma or Lean manufacturing knowledge Continuous improvement mindsetStrong attention to detail Cablebuilder experience is a plus DOE and SPC experience a plus

DESCRIPTIONAmazon strives to exceed the expectations of our customers by ensuring shipments are delivered quickly, safely, and as compliant as possible. Amazon is looking for a Business Intelligence Engineer – Risk Intelligence to support the vision of TRC.Amazon’s Transportation Risk and Compliance Team (TRC) protects Amazon’s various transportation businesses by implementing scalable risk management solutions that foster continued business growth. To support the business, we build intelligent and insightful reporting such that transportation business and auditing teams can make informed decisions and maintain a healthy gearing ratio.To help fulfill this mission, the analytics and reporting team aims to influence auditing and business decisions by delivering sophisticated risk monitoring models, analytical tools and frameworks. As a Business Intelligence Engineer (BIE) on the team, you will work closely with our business and auditing stakeholders, as well as the other members of our team, to provide recommendations and insights through your in-depth analyses and reporting.We are open to hiring candidates to work out of one of the following locations:Arlington, VA | Seattle, WA | Nashville, TNBASIC QUALIFICATIONS- 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 writing complex SQL queries- 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 modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsKey job responsibilities• Collaborate with Risk Managers, Data Engineers, Software Engineers, Data Scientists, and Auditors to translate results into insights.• Use data driven decision making to provide business recommendations for TRC/ORC leadership.• Work autonomously and as a team to define, scope, and develop new BI solutions that can uncover issues and provide recommendations for our stakeholders.• Improve the scalability and timeliness of existing models and visualizations by ensuring that they empower decision making and opportunities for deep dive analyses.• Define new metrics and/or refine existing metrics in a way that helps quantify risk and presents a dynamic risk profile of the organization.• Identify additional data sources, both internal and external, and enable their ingestion into models and frameworks.A day in the lifeAre you a self-driven engineer who enjoys coming up with creative new solutions. Continue your journey with us as a BIE! Participate in strategic planning sessions, shaping the path to data-driven success. Dive deep into challenging customer problems, creating powerful dashboards and workflows that transform raw data into actionable intelligence. Uncover new data streams, fueling your curiosity and innovation. Engage in deep-dive analysis, unlocking the narratives hidden within the numbers. Elevate your impact by presenting ground breaking ideas to leaders. This role invites you to be the architect of intelligence, sculpting the future of business insights for TRC. Join us and unleash your potential!BASIC QUALIFICATIONS- 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 modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job DescriptionBusiness Intelligence EngineerThe Office of Institutional Research and Effectiveness (IRE) at Stevens is inviting applications for the position of Business Intelligence Engineer to join a team of talented colleagues. Under the supervision of the Associate Director, the Business Intelligence Engineer will design, develop, and support Business Intelligence solutions to turn data into actionable insights supporting university decision making, analytics, and research.  An ideal candidate should be extremely data-savvy, and should have solid skills in data modeling, data transforming procedure, and overall business intelligence solutions. ResponsibilitiesAssemble large, complex data sets that meet functional/non-functional business requirements. Work with subject matter experts to design and develop data models, security structures and reports across subject areas and technical domains. Identify, design, delegate and implement internal process improvements: automate manual processes, optimize data delivery, re-design infrastructure for greater scalability, etc. Create and manage complex SQL queries, stored procedures, and other database objects. Transform data in the warehouse using dbt.Perform data analysis, design, and development of new and ongoing business intelligence (BI) tools (such as Power BI, Tableau) involving complex data structures.Build machine-learning algorithms, models, reports, etc., to meet business outcomes and KPIs.Plan and conduct data analysis efforts, facilitate design sessions, and collaborate with technical staff, and critical business sponsors to identify and recommend solutions. Initiate or update designs for models supporting data warehouse functionality. Coordinate reviews of data models and data definitions.Establish and maintain best practices for the design, development and support of BI solutions including self-service analytics, documentation, metadata creation, use and maintenance, and data naming standards.Monitor and take appropriate action to maintain the integrity of the reporting solutions, including security and data quality issues. Respond and resolve operational problems as necessary. Document, troubleshoot, and resolve day to day data issues.Maintain a considerable knowledge base of various types of institutional data stored in Workday (Stevens’ student information system), and IRE data repositories, such as student admissions, enrollment, degree data, course data, and faculty data. Assist with data collection and dashboard design for all aspects of external data reporting (IPEDS, state reports, college guidebooks, consortium exchange, etc.), and internal reports for academic and administrative units, such as the weekly enrollment census report, the annual benchmarking report, and other institutional analyses.Process, clean, and validate the integrity of data to be used for analysis.Analyze large amounts of information to find patterns and solutions.Document all aspects of data science procedure, with special attention to data retrieval, programming, workflows, and security.Proactively and continuously pursue professional development and training Perform other duties as assigned.Breakdown of Essential Duties and Responsibilities 50%: Data warehouse, ETL, and BI development 25%: Data validation and analysis15%: Support BI Solutions and assist with data collection for internal and external data reporting10%: Other duties as assigned in support of overall Institutional Research and Effectiveness strategic goalsQualificationsBachelor's degree in business, computer science, data sciences, information systems, statistics, or similar discipline.4+ years of Business intelligence development experience. Advanced knowledge and deep expertise in designing data models and developing BI reports.Design, Develop and maintain data models, reports, and dashboards (Power BI/Tableau).Experience collecting business requirements and building reporting solutions to convert raw data into usable information for analysts and business users.Experience with implementing complex row-level and object-level security in Power BI/ Tableau.Solid command of relational and dimensional database concepts and principles, data modeling, data warehouse design, data management, data analytics and business intelligence methods, and data integration techniques.Strong written and documentation skills for communicating specifications, processes, and metadata to both technical and non-technical audiencesFamiliarity with machine learning concepts.Should be knowledgeable about data quality and governance issues and requirements.Professional experience in higher education preferred.Strong organizational, prioritization, and planning skills with an ability to work on multiple projects simultaneously and collaboratively with cross-functional units.Sound independent judgment and decision-making.Strong analytical and problem-solving skills with high attention to detail.**This position is predominantly remote. **DepartmentInstitutional ResearchGeneral Submission Guidelines: Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.  Academic Submission Guidelines:  Please submit:  Cover letter Curriculum vitae Research statement Teaching statement that includes a) teaching interests, b) teaching philosophy, and c) a plan on how to create an inclusive environment for students of all backgrounds in terms of classroom teaching, student advising, and graduate student mentoring Contact info for at least 2-3 references (school-specific; please refer to job posting)  Still Have Questions? If you have any questions regarding your application, please contact [email protected]. EEO Statement:Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.  NSF ADVANCE Institution Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for students, faculty, and staff of all backgrounds. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women, racial and ethnic minority candidates, veterans, and individuals with disabilities. Jeanne Clery Disclosure: In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.  

PROCESS ENGINEER COOPJOB SUMMARYThe Process Engineering Co-op will be work closely with the Process Engineering Discipline at DPS in the effort to provide our clients with the process engineering designs for a variety of life-science projects. DPS is a global consulting, engineering and construction management company, serving high-tech industries around the world. We have industry experts in key locations in Europe, the Middle East, Asia, and the US, bringing world-class resources and the latest innovative technologies to every project. In New England, DPS primary focus is on Architecture, Engineering, Construction, and Validation related to designing and building of life-science manufacturing facilities. The Process Engineering Discipline works closely with our clients to define their process, capture the key elements in design documents like process flow diagrams (PFDs) and piping and instrument diagrams (P&IDs), and developing equipment specifications and 3D piping diagrams for the procurement and construction phases of the project.The Process Engineering Co-op will be delegated tasks of increasing responsibility during the six month assignment. Early tasks may have some administrative or training basis, but all will help the Co-op to understand the process by which a client's goals are realized into a final design that is constructible and functional. This Co-op assignment will also utilize a rotation of learning in the other disciplines of the design phase (Architecture, Mechanical, Electrical, Plumbing/Fire-protection, Instrument & Controls, Quality) as well as the Project Management, Construction, and Commissioning/Qualification/Validation (CQV) departments. KEY COMPETENCIES & RESPONSIBILITIES• The chosen candidate must have an interest in the technical aspects of the pharmaceutical / biotech / novel therapeutics manufacturing process.• Self-motivated individual who has a thirst for learning• Pump / hydraulic system principles• Basic thermodynamic operationsJOB REQUIREMENTS• Candidate for Chemical Engineering B.S. with at least one previous Co-op assignment• Preferred Co-op experience in the Life Sciences industry• Good oral communication skills• Work individually and as a team• Learn new skills through a variety of platforms• MS Office, especially Excel• PDF editor (i.e. Bluebeam)

Process Engineer Paper Industry - Midwest & SouthSalary $90,000 - $130,000 + Profit Sharing Plan + Excellent benefits & Paid Relocation PackagePositions available in the Midwest & SouthWe are recruiting for a Process Engineer who will utilize expertise to enhance and optimize production needs on a paper machine, pulping, and/or converting areas of the mill while being mentored for a future growth opportunity.As a Process Engineer, you will continuously seek ways to improve yield and energy efficiency of the plant. Drawing upon your expertise, you will play a pivotal role in evaluating existing processes and facilitating system changes to reduce costs, improve sustainability, and develop best practices within the production process.Qualities such as internally motivated, results-oriented, and strong leadership capabilities are integral in this role. You’ll need to be a hands-on, technically trained, detail-oriented, and organized person with working knowledge of Paper Machines or Converting processes.Minimum requirements for these Process Engineering positions:• Degree in Engineering• Three plus years of process engineering experience in the paper industry.• Organized/Detail Oriented.TO APPLY: Email your resume OR cindyATaustinallenDOTcom in MS Word or PDF (please remove the capital letters and replace with proper symbols). * All Interview, relocation, & fee expenses paid by hiring companies. Hiring companies offer excellent compensation packages, benefits, and, where available, generous relocation assistance or packages.Areas of Specialization...* Engineering * Six Sigma Black Belts * Accounting * Distribution * Human Resources* Materials / Purchasing * Quality Engineers & Managers * Manufacturing Management

RESPONSIBILITIES:Kforce has a client that is seeking a Business Process Engineer in Plano, TX.Responsibilities: Business Process Engineer will collaborate with cross-functional teams to identify, analyze, and document existing business processes and workflows Conduct process assessments to identify areas of improvement and develop recommendations for process optimization Utilize Six Sigma methodologies to define, measure, analyze, improve, and control key business processes Apply Business Process Modeling Notation (BPMN) techniques to create process models, diagrams, and documentation to facilitate process understanding and improvement Collaborate with stakeholders to understand their needs, requirements, and pain points, and propose effective process solutions Drive continuous process improvement initiatives by identifying opportunities for automation, standardization, and elimination of waste As a Business Process Engineer, you will ensure adherence to industry best practices, compliance requirements, and regulatory standards during process design and improvement Collaborate with the DevOps team to align business processes with DevOps principles and practices, enabling faster delivery and increased efficiency Develop and deliver training materials and workshops to educate stakeholders on new and improved business processes Monitor and measure process performance metrics, analyze data, and generate reports to track the effectiveness of process improvement effortsREQUIREMENTS: Six Sigma Black Belt certification with a solid understanding of Lean Six Sigma principles, methodologies, and tools Proven experience in business process analysis, design, and improvement, preferably in a similar role Strong knowledge and practical application of Business Process Modeling Notation (BPMN) to create process models and diagrams In-depth understanding of DevOps principles, practices, and tools, and their impact on business processes Proficiency in process mapping, process flow analysis, and value stream mapping techniques Excellent analytical skills with the ability to identify inefficiencies and propose effective solutions Excellent communication and interpersonal skills to effectively collaborate with stakeholders at all levels Strong project management skills with the ability to manage multiple projects simultaneously Strong attention to detail and a commitment to delivering high-quality results Ability to work in a fast-paced and dynamic environment, adapting to changing business needs The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job DescriptionBusiness Intelligence EngineerThe Office of Institutional Research and Effectiveness (IRE) at Stevens is inviting applications for the position of Business Intelligence Engineer to join a team of talented colleagues. Under the supervision of the Associate Director, the Business Intelligence Engineer will design, develop, and support Business Intelligence solutions to turn data into actionable insights supporting university decision making, analytics, and research.  An ideal candidate should be extremely data-savvy, and should have solid skills in data modeling, data transforming procedure, and overall business intelligence solutions. ResponsibilitiesAssemble large, complex data sets that meet functional/non-functional business requirements. Work with subject matter experts to design and develop data models, security structures and reports across subject areas and technical domains. Identify, design, delegate and implement internal process improvements: automate manual processes, optimize data delivery, re-design infrastructure for greater scalability, etc. Create and manage complex SQL queries, stored procedures, and other database objects. Transform data in the warehouse using dbt.Perform data analysis, design, and development of new and ongoing business intelligence (BI) tools (such as Power BI, Tableau) involving complex data structures.Build machine-learning algorithms, models, reports, etc., to meet business outcomes and KPIs.Plan and conduct data analysis efforts, facilitate design sessions, and collaborate with technical staff, and critical business sponsors to identify and recommend solutions. Initiate or update designs for models supporting data warehouse functionality. Coordinate reviews of data models and data definitions.Establish and maintain best practices for the design, development and support of BI solutions including self-service analytics, documentation, metadata creation, use and maintenance, and data naming standards.Monitor and take appropriate action to maintain the integrity of the reporting solutions, including security and data quality issues. Respond and resolve operational problems as necessary. Document, troubleshoot, and resolve day to day data issues.Maintain a considerable knowledge base of various types of institutional data stored in Workday (Stevens’ student information system), and IRE data repositories, such as student admissions, enrollment, degree data, course data, and faculty data. Assist with data collection and dashboard design for all aspects of external data reporting (IPEDS, state reports, college guidebooks, consortium exchange, etc.), and internal reports for academic and administrative units, such as the weekly enrollment census report, the annual benchmarking report, and other institutional analyses.Process, clean, and validate the integrity of data to be used for analysis.Analyze large amounts of information to find patterns and solutions.Document all aspects of data science procedure, with special attention to data retrieval, programming, workflows, and security.Proactively and continuously pursue professional development and training Perform other duties as assigned.Breakdown of Essential Duties and Responsibilities 50%: Data warehouse, ETL, and BI development 25%: Data validation and analysis15%: Support BI Solutions and assist with data collection for internal and external data reporting10%: Other duties as assigned in support of overall Institutional Research and Effectiveness strategic goalsQualificationsBachelor's degree in business, computer science, data sciences, information systems, statistics, or similar discipline.4+ years of Business intelligence development experience. Advanced knowledge and deep expertise in designing data models and developing BI reports.Design, Develop and maintain data models, reports, and dashboards (Power BI/Tableau).Experience collecting business requirements and building reporting solutions to convert raw data into usable information for analysts and business users.Experience with implementing complex row-level and object-level security in Power BI/ Tableau.Solid command of relational and dimensional database concepts and principles, data modeling, data warehouse design, data management, data analytics and business intelligence methods, and data integration techniques.Strong written and documentation skills for communicating specifications, processes, and metadata to both technical and non-technical audiencesFamiliarity with machine learning concepts.Should be knowledgeable about data quality and governance issues and requirements.Professional experience in higher education preferred.Strong organizational, prioritization, and planning skills with an ability to work on multiple projects simultaneously and collaboratively with cross-functional units.Sound independent judgment and decision-making.Strong analytical and problem-solving skills with high attention to detail.**This position is predominantly remote. **DepartmentInstitutional ResearchGeneral Submission Guidelines: Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.  Academic Submission Guidelines:  Please submit:  Cover letter Curriculum vitae Research statement Teaching statement that includes a) teaching interests, b) teaching philosophy, and c) a plan on how to create an inclusive environment for students of all backgrounds in terms of classroom teaching, student advising, and graduate student mentoring Contact info for at least 2-3 references (school-specific; please refer to job posting)  Still Have Questions? If you have any questions regarding your application, please contact [email protected]. EEO Statement:Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.  NSF ADVANCE Institution Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for students, faculty, and staff of all backgrounds. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women, racial and ethnic minority candidates, veterans, and individuals with disabilities. Jeanne Clery Disclosure: In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.  

We are seeking a highly skilled Business Intelligence Engineer with expertise in AWS Quicksight to join our data-driven team. You will play a pivotal role in designing, developing, and maintaining interactive dashboards and reports that empower our business users to make informed decisions. Your deep understanding of AWS Quicksight and its integration with other AWS services will be essential in delivering insightful visualizations and data-driven solutions. Responsibilities: Dashboard Development: Design, develop, and deploy interactive dashboards and reports in AWS Quicksight, catering to diverse business needs. Utilize advanced Quicksight features like calculated fields, parameters, and custom visuals to create compelling visualizations. Ensure dashboards are optimized for performance, usability, and accessibility. Data Modeling and ETL: Collaborate with data engineers to define and implement data models optimized for Quicksight visualization. Develop and maintain ETL processes to extract, transform, and load data from various sources into Quicksight. Ensure data integrity, accuracy, and consistency throughout the ETL pipeline. Requirement Gathering and Analysis: Work closely with business stakeholders to understand their reporting and analytical requirements. Translate business requirements into technical specifications for dashboard development. Provide technical expertise and guidance to business users on best practices for data visualization and analysis. Performance Optimization and Troubleshooting: Monitor and optimize dashboard performance to ensure fast and efficient data retrieval and rendering. Troubleshoot and resolve any issues related to data connectivity, dashboard functionality, or user experience. Training and Support: Provide training and support to business users on how to effectively use and interpret Quicksight dashboards. Develop and maintain documentation related to dashboard development and data models. Stay Current: Stay abreast of the latest developments in AWS Quicksight and other relevant technologies. Proactively explore and evaluate new features and functionalities to enhance our BI capabilities. 6-8 Years experience as a BI Engineer, specifically an AWS Quicksight Specialist. Proven experience in designing, developing, and deploying dashboards and reports in AWS Quicksight. Bachelor's Degree in Computer Science, Information Systems, or a related field. Data Modeling and ETL: Strong understanding of data modeling concepts and experience with ETL tools and processes. SQL Proficiency: Excellent SQL skills for data extraction, transformation, and analysis. AWS Ecosystem: Familiarity with other AWS services like Redshift, S3, Athena, and Glue. Communication Skills: Excellent written and verbal communication skills to effectively interact with both technical and non-technical stakeholders. Problem-Solving Skills: Strong analytical and problem-solving skills to identify and resolve complex issues. Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams. NICE TO HAVES: AWS Certification: AWS Certified Solutions Architect or AWS Certified Data Analytics Specialty. Experience with BI Tools: Experience with other BI tools like Tableau or Power BI. Data Visualization Skills: Expertise in data visualization principles and best practices. Python or R: Proficiency in Python or R for data analysis and scripting Certifications: Data Brick Cert