15 Senior Bi Analyst jobs in the United Arab Emirates

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).

Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

JOB SUMMARY:

We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.

Key Responsibilities

• Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
• Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
• Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
• Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
• Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
• Experience: 3+ years in BI development, process analytics, or similar roles.
• Technical Skills:
  • Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
  • Strong experience with ETL processes, data preparation, and transformation for analytics.
  • Solid understanding of SQL and relational databases for data extraction and manipulation.
  • Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
• Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.

Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.

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Leads the strategic application of data and analytics to enhance decision-making and operational excellence across DP World's global operations. This role sets the vision for data-enabled transformation initiatives, guiding a portfolio of analytics projects aligned with enterprise priorities, including IoT optimisation, AI adoption, and global platform rollouts such as Zodiac.

In addition, the role plays a pivotal part in driving global innovation, embedding analytics and data intelligence into the ideation, validation, and scaling of breakthrough initiatives. As a strategic partner to the Innovation Office, the incumbent helps ensure that innovation efforts are evidence-based, outcome-driven, and aligned with DP World’s growth and digital transformation ambitions.

KEY ACCOUNTABILITIES:

Lead strategic business intelligence initiatives to unlock operational efficiencies and growth opportunities across terminals, platforms, and innovation programs.

Own the analytics vision and roadmap for key programs (e.g. Zodiac, IoT optimisation, AI projects and more), ensuring alignment with enterprise KPIs and DP World’s digitalisation agenda.

Use Power BI and other visualisation tools to develop interactive dashboards that highlight trends, support performance improvement and inform strategic planning.

Promote the use of analytics tools and foster a culture of data-driven decision making and continuous improvement.

Define and govern data structures, models, and frameworks to enhance performance visibility across business units, enabling real-time monitoring and global benchmarking

Partner with Technology and BI teams to prioritise and influence development of analytics platforms, while staying focused on business value delivery rather than execution.

Champion the integration of analytics within global innovation programs, collaborating with the Innovation Office, Innogate, and cross-functional teams to evaluate and scale high-impact ideas.

Represent Global Operations in steering committees and leadership forums, presenting insights, progress updates, and forward-looking analytics strategy.

Sponsor and mentor regional analytics communities, nurturing a culture of innovation, data maturity, and best practice sharing across business units.

Support executive communications with impactful storytelling, strategic dashboards, and insights tailored to C-suite and Board-level needs.

Contribute to enterprise transformation and innovation campaigns (e.g. Innovation Live, Champions Campaign) by embedding analytics in idea validation, tracking, and decision-making.

Act as senior advisor and business partner to regional heads, COOs, and cross-functional leaders, embedding analytics into strategic decision-making.

Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies

Perform other related duties as assigned

QUALIFICATIONS, EXPERIENCE AND SKILLS:

Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics or a related field.

5-10 years experience in the analysis of business processes and interfaces including, but not limited to container terminal operations, terminal operating systems (Navis, Zodiac, etc), interpreting system documentation, data and/or business process modelling, and data flow/context diagramming.

Minimum 2 years of experience in Data Analysis and visualization (Power BI, SAP Business Intelligence reports or comparable BI applications).

Excellent Analytical Skills.

Proficiency with relational database concepts and report writing tools.

Understanding on Terminal Planning and Operations processes, standards and procedures. Understanding on Operational and Commercial KPIs and definitions.

Ability to work and communicate within multi-cultural and multi-national teams within DP World head office as well as DP World business units and regional offices around the world.

Strong organizational skills. Competent with mainstream office automation, project management, presentation, and communications tools. Executes all job responsibilities and assignments promptly, reliably, and ethically.

Flexible and adaptable, functions well as a team player in multi-cultural team, remains calm and cheerful under stressful conditions.

Effective communication and reporting fluently in English language.

DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, race, religion or belief.

By submitting your resume and application information, you authorize DP World to transmit and store your information in the world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualification for this or other job vacancies.

• Job Identification 20757
• Posting Date 10/02/2025, 05:17 PM
• Locations JAFZA LOB 17 - Fifth Floor, Dubai, AE

Key Responsibilities

Dashboarding & Reporting

• Design, build, and maintain interactive dashboards in Power BI.
• Automate recurring reports and develop self-service analytics tools.
• Ensure data accuracy, consistency, and timeliness.

Data Analysis & Insight Generation

• Analyze trends and performance across channels.
• Identify growth opportunities, margin risks, and operational inefficiencies.
• Support forecasting, budgeting, and strategic planning.

Data Governance & Quality

• Maintain data integrity across multiple sources including ERP, CRM, and vendor portals.
• Support data migration, cleansing, and enrichment initiatives.

Qualifications & Experience:

• Bachelor's degree in Data Science, Business Analytics, Computer Science, or related field.
• 1-3 years of experience in data analysis, preferably within IT or FMCG distribution.
• Advanced proficiency in Power BI, DAX, Tableau etc. data modelling tools.
• Strong Excel skills; experience with SQL, Python, R or other analytics tools is a plus.
• Familiarity with SAP system.

Preferred Attributes:

• Excellent communication and organisational skills with ability to work across teams.
• Experience working with multi-brand, multi-channel datasets.
• Understanding of distribution KPIs.
• Ability to work independently and manage multiple priorities.

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

We are seeking a Business Intelligence Developer who performs end-to-end development and implementation of data dashboards and related reporting components. The role involves close collaboration with internal teams, ensuring alignment with business objectives, and driving continuous improvement in analytics and reporting capabilities.

1. Requirement Gathering & Planning:
   • Conduct meetings with various departments and stakeholders to gather requirements, define use cases, and identify key performance indicators (KPIs).
   • Prepare a detailed work plan that outlines deliverables, timelines, and responsibilities.
2. Integration with Existing Data Sources:
   • Connect and integrate with existing internal data sources and systems.
   • Ensure secure, stable, and optimized data connections suitable for reporting purposes.
3. Data Preparation and Understanding:
   • Perform data collection, profiling, cleaning, and transformation.
   • Understand the business logic and rules that govern data to prepare datasets ready for analysis and visualization.
4. Dashboard Design and Development:
   • Develop user-friendly, interactive dashboards tailored to serve a wide range of audiences, including: Executive Leadership (Ministry Level), Undersecretary Level, Directors and Managers, All Internal Employees, External Government Entities, Public Users and Website Visitors (where applicable).
   • Ensure dashboards are responsive, intuitive, accessible, and aligned with customer branding and UX standards.
   • Design for Arabic/English language preferences and device compatibility (desktop, tablet, mobile).
5. Data Validation and User Acceptance Testing (UAT):
   • Validate data accuracy and consistency across all visuals. Coordinate and facilitate UAT sessions to ensure that the deliverables meet the functional and business requirements.
6. Deployment and Publishing:
   • Publish dashboards to the appropriate server or reporting platform. Implement role based access control and ensure the dashboards are accessible to intended users.
7. Documentation:
   • Prepare comprehensive documentation, including:
     • User guide/manual
     • Technical documentation
     • Data source and logic references
8. Training Support:
   • Conduct structured training sessions for different user groups to ensure effective usage of the dashboards and self-service capabilities where applicable.
9. Ongoing Technical Support:
   • Provide continuous technical support during and post-deployment, including troubleshooting, performance tuning, and implementation of minor enhancements.

• Strong experience in business intelligence (BI) and dashboard development using tools such as Power BI, Tableau, or similar platforms.
• Proficiency in SQL and data modeling techniques.
• Experience with integrating and transforming data from multiple sources.
• Understanding of data governance, access control, and security best practices.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Bilingual communication skills (Arabic and English) are preferred.

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

Career Opportunities: Business Intelligence Developer (4165)

Requisition ID 4165 -Posted - Information Technology - Job Location (country) (1) - Job Location (region) (1)

OIA Global provides customers with an unparalleled suite of scalable and flexible supply chain solutions. Supported by 1,300 forward-thinking employees, we specialize in 3PL, 4PL, sustainability, technology, contract logistics, packaging design and optimization, and raw materials management. Since 1988, we have grown into a $1.3 billion company with a presence in 27 countries and industry expertise in fashion and apparel, consumer goods, healthcare, energy, and industrials. OIA Global is privately held by LDI, Ltd.

Summary: Business Intelligence Developer

The Developer is part of an Agile team and uses data and technology to solve complex problems. The Developer will participate in the product lifecycle from build to launch and eventual transition to rapid continuous improvement. The Developer works closely with Engineers, Product Designers, Analysts and may engage with Business Stakeholders. The goal of a Developer is to build a reliable product through one or all layers of the software stack.

Supervisory Responsibilities:

• None

Duties and Responsibilities:

• Develop code that meets the standards and guidelines agreed on by the digital product group.
• Follows the digital product group’s general documentation/code commenting standards.
• Participate in all Agile team ceremonies.
• Continuously monitor and tune existing solutions to ensure maximum performance and reliability.
• Tests code to be sure it passes the acceptance criteria of the assigned work item.
• Participate in story planning and estimation.
• Collaborate with business stakeholders to identify and understand business requirements and translate them into technical specifications.
• Create and maintain reports and dashboards using reporting tools such as Power BI and SSRS.

Required Skills and Abilities:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Can debug code with some help from another developer.
• Ability to follow specific requirements from an analyst when developing code.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Able to use Git to push, pull and merge code.
• Can work with the following coding language/frameworks: T‑SQL.
• Proficiency in SQL and experience with SQL Server, Azure SQL, or similar databases.
• Strong experience with BI reporting tools, Power BI and SSRS.
• Familiarity with dimensional modeling and data warehousing concepts.

Education and Experience:

• Bachelor’s degree in computer science, Information Systems, or related field or equivalent experience.
• 3+ years of experience in developing BI solutions, including ETL processes, data modeling, and reporting.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Ability to lift to 30lbs/15 kg.
• Minimal to no travel required, up to once per Quarter.
• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

OIA Global is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. We offer an exciting and growth-oriented work environment, and OIA employees enjoy competitive salaries and excellent benefits.

Business Intelligence Engineer, MENA Product Team

The Amazon MENA team is looking for an analytical and technically skilled business intelligence engineer to join our team. Our team turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the customer shopping journey from Search, Navigation, Homepage, Detail Page till Checkout and order placement. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for one of these verticals.

We’re looking for a driven individual who loves working with BI tools, and is able to perform multiple large, complex, and business critical analyses that will inform product design and business priorities. This is a role that partners with Product as an equal force, not just as a data source. They need to be comfortable accessing and working with data from multiple sources, automate business critical reports and partner with internal stakeholders to solve complex and broad business problems. They need to shape product design, track experiment success, and look out for defects to further unearth more workstreams for Product to pick up. The successful candidate will have a strong passion for data and analytics, will be a self-starter, comfortable with ambiguity and with the ability to work in a fast-paced and ever-changing environment.

• Interface/interact with business & finance customers, gathering requirements and delivering complete BI solutions. Helps define the team's BI strategy.
• Own the design, development, and maintenance of metrics, reports, dashboards, etc. to drive key business decisions across multiple teams.
• Continually improve ongoing reporting and processes, automating, scaling or simplifying self-service support for customers.
• Write high quality code to retrieve and analyze our large and complex data sets.
• Identify patterns in our data and use these insights to make data-driven recommendations to drive topline growth and to improve profitability.
• Develop an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.

• 5+ years of SQL experience
• Experience in programming to extract, transform and clean large (multi-TB) data sets
• Experience in the data/BI space
• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

• Experience in scripting for automation (e.g. Python)
• Experience with theory and practice of design of experiments and statistical analysis of results

• 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

• 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 datasets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Business Intelligence Engineer, MENA Product Team

The Amazon MENA team is looking for an analytical and technically skilled business intelligence engineer to join our team. Our team turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the customer shopping journey from Search, Navigation, Homepage, Detail Page till Checkout and order placement. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for one of these verticals.

We’re looking for a driven individual who loves working with BI tools, and is able to perform multiple large, complex, and business critical analyses that will inform product design and business priorities. This is a role that partners with Product as an equal force, not just as a data source. They need to be comfortable accessing and working with data from multiple sources, automate business critical reports and partner with internal stakeholders to solve complex and broad business problems. They need to shape product design, track experiment success, and look out for defects to further unearth more workstreams for Product to pick up. The successful candidate will have a strong passion for data and analytics, will be a self-starter, comfortable with ambiguity and with the ability to work in a fast-paced and ever-changing environment.

• Interface/interact with business & finance customers, gathering requirements and delivering complete BI solutions. Helps define the team's BI strategy.
• Own the design, development, and maintenance of metrics, reports, dashboards, etc. to drive key business decisions across multiple teams.
• Continually improve ongoing reporting and processes, automating, scaling or simplifying self-service support for customers.
• Write high quality code to retrieve and analyze our large and complex data sets.
• Identify patterns in our data and use these insights to make data-driven recommendations to drive topline growth and to improve profitability.
• Develop an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.

• 5+ years of SQL experience
• Experience in programming to extract, transform and clean large (multi-TB) data sets
• Experience in the data/BI space
• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

• Experience in scripting for automation (e.g. Python)
• Experience with theory and practice of design of experiments and statistical analysis of results

• 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

• 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 datasets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.