4 Yield Manager jobs in the United Arab Emirates

Senior Business Analysis – Dubai, United Arab Emirates

The Senior Business Analyst leads a team to undertake the review and analysis of the organisation’s business intentions, services, processes and information needs to identify changes that lead to business improvements.

Department: Project Management

Compensation: AED 21,667 P/M

Responsibilities

• Enhance business systems by providing accurate information about business needs and priorities.
• Analyse and consolidate information to develop business cases to support achievement of business objectives.
• Extract data reports and review information to identify trends, system pain points and opportunities for business improvement across the business.
• Provide plain language advice on technical issues to non-technical audiences.
• Work with key stakeholders to identify how changing business requirements may be delivered with existing solutions.
• Coordinate process improvement test cases, liaising with DSG and client business units, evaluating and reporting on potential process improvement initiatives and instituting systems changes.
• Develop and use information material such as process descriptions, checklists, templates and guides to assist staff with implementing defined processes.
• Guide and support team members to provide customer-focused services.

Skills/Experience

• A bachelor’s or master’s degree in computer science or a related field is a good starting point for this position.
• Escalate issues, keep informed, advise and receive feedback.
• Inspire and motivate team, provide direction and manage performance.
• Mentor, lead and support the team and share information and research.
• Ensure consistent and coordinated customer services through teamwork and collaboration.
• Resolve issues and provide solutions to problems.
• Provide information regarding agency sector-wide rules and standards.
• Represent the organisation in an honest, ethical and professional way and encourage others to do so.
• Demonstrate professionalism to support a culture of integrity within the team/unit.
• Ensure that others understand the legislation and policy framework within which they operate and act to prevent and report misconduct, illegal and inappropriate behaviour.

#J-18808-Ljbffr

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
**A Day in the Life**
We're a mission-driven company in medical technology and solutions with a legacy of integrity and innovation.
We focus on better patient care, and partner across the industry to make healthcare more affordable and accessible. We are a community of experts committed to ensuring quality, affordable healthcare worldwide.
Come strengthen your specialized skills and enhance your expertise. We'll support you with the training, mentorship, guidance, and networks you need to advance, and empower you to work in the way that's best for you.
You will be exposed to various stakeholders in the company to cover the following:
- Quoting tenders and preparing analysis file for the Pricing Committee.
- Supporting commercial team in tender submission.
- Creating quotations for governmental and private hospitals.
- Working on governmental portals for tender submission.
- Training and guiding all Pricing Team newcomers
- Following up with team on daily tasks
- Pricing newly launched products
- Yearly review and preparation/analysis of pricelists.
- Ensuring governance is always updated and pricing is always compliant with company policy.
**Responsibilities may include the following and other duties may be assigned:**
+ Develop and communicate the strategic, financial, and administrative implications of proposed and/or implemented pricing policy.
+ Develop price recommendations to ensure compliance with policy.
+ Recommend positions for pricing and reimbursement strategies for current and future products across all relevant customer and market segments.
+ Provide input on final pricing contracts.
+ While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
+ Deliver and/or manage projects assigned and work with other stakeholders to achieve desired results.
+ May act as a mentor to colleagues or may direct the work of other lower-level professionals.
**Required Knowledge and Experience:**
+ 5-7 years' experience
+ Knowledge and experience in UAE market- pricing and tenders.
+ Experience with office management tools (MS Office software, in particular, high proficiency in Excel).
+ Experience in SAP system (System Applications and Products in Data Processing) Vendavo
+ Excellent organizational and time-management skills.
+ Strong written and oral communication skills
+ Problem-solving attitude with an eye for detail.
+ Requires a Bachelor's degree.
+ Languages: Arabic & English (proficient)
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email

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.

This course will feature:

• 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

What are the Goals? By the end of this course, participants will be able to:

• 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.

Who is this Course for? This course is suitable to a wide range of professionals but will greatly benefit:

• 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

How will this be Presented?

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.

The Course Content

• 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

#J-18808-Ljbffr