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Senior BI Developer

2022-10-22 16:55IP Location 菲律宾1720
Area:All Cities
Industry Category:Sciences
Position:Actuarial / Statistics
Department:
Number Of Recruits:several
Nature Of Work:Full Time
Gender Requirements:Male
Marriage Requirement:No marital status restrictions
Education Level:Open to all levels
Work Experience:No work experience restrictions
Age:Above 18 years old
Salary Package:Negotiable

Note: Clicking on the 'Apply Now' button will redirect you to our Company Page where you will be asked to create an account to continue with your application.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.

We are recruiting for a Senior Business Information & Design engineer (BI developer) who will be part of the global Data & Integration team. In this role, you would build valuable data products for internal and external users, including (but not limited to) KPI reports and Business Intelligence dashboards. 

You would work with common (enterprise level) solutions; and contribute to best practices for data visualization and business information design. You would strengthen our internal capability in this important area, primarily through educating and supporting analysts all across our organisation so that they can generate the relevant insight for their business area through managed self-service. You would be hands on in delivery as part of an empowered, multidisciplinary agile squad.

Why should you join Cambridge?

Our mission is to contribute to society through the pursuit of education, learning, and research at the highest international levels of excellence. Which is why every year, we give vital support to millions of people in more than 170 countries around the world. From teachers and learners to researchers and academics, we help to build confidence, unlock potential, and enable success. We give people the opportunity to show what they've learnt, we spread knowledge, spark enquiry, and aid understanding.

We achieve this by embracing change, and continuously focusing on our customers' needs. And by collaborating, and carefully listening to our customers and to each other, we keep moving forward, keep innovating, and keep finding newer and better ways of doing things.

When you join Cambridge, you get the best possible combination of a supportive, caring environment, balanced with work that brings out the best in you. You will have access to learning and development opportunities, and business tools essential for your role so that you can perform at your peak. 

What can we offer you?

In this role, you will collaborate with colleagues across all areas of the organisation. It is an opportunity that will enable you to widen your horizon by learning from other cultures.

The role will give you learning opportunities to stay up-to-date with current thinking and best practices within data and design. You will be encourage to shape the work along with your squad, and have a lot of freedom in how you organize your efforts.  

On top of these, working with Cambridge will also give you stability. We show our care for our people by allowing them to grow not just professionally but also personally. We promote work-life balance through flexible work schedules, hybrid work arrangements, and generous paid leaves. In addition, you will be entitled to our health care benefits with coverage for dependents, group life insurance, and robust wellbeing programs right on the first day of joining us.

What will you do in this role?

You will be accountable for delivering tangible data products that fulfil the customers need. 

• Technical Delivery: You will work hands-on in defining, designing, engineering, testing and launching enterprise data products e.g. reusable datasets, data visualizations and dashboards, KPI reports and forecasting applications.

• Managed Self-service: You will work with insight users in any part of the organisation, educating and guiding their efforts; refactoring and automating where necessary to make solutions supportable and reusable

• Technical Leadership: You will work with your team and other practitioners to define & and adopt best practices for Information Design and Visualisation. This means document and sharing skills, methods, tools, patterns and architectures. It also means continual professional development required to level up and continually adapt and improve. As a senior professional, you would be expected to support and mentor less experienced colleagues.

• Communications and relationship building: The role requires you to actively collaborate with a wide range of people across the organisation. You will need to communicate proactively and transparently and ensure that timely and reliable information reaches everyone contributing to or impacted by the team’s efforts.

What makes you the ideal candidate for this position?

You will be ideal for this role if you have 2 years or more professional experience with Business Intelligence and User Experience design in a large global organisation. You should be able to demonstrate both successful delivery and lessons learnt, problem solving and fact-based decision making. Ideally you can show us a representative portfolio of your best work. 

 You will make a strong candidate if you have demonstrable knowledge and skills in current data methodologies, frameworks and best practices, and interest & passion for designing data products.

In addition, experience, knowledge or expertise in the following would give you an advantage:

• Hands-on experience of implementing enterprise level MS PowerBI solutions

• Experience of advanced data modelling techniques, including knowledge graphs and event data, as well as the fundamental Dimensional and Relational models.

• Software engineering discipline e.g. with continuous integration /continuous deployement

• Understanding of business processes and quality & productivity improvement methodologies and how data is used in process control

• Understanding of artificial intelligence and machine learning and how this can be made accessible to users through data products. 

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