Hewlett Packard Enterprise Company Senior Data Analyst in Singapore, Singapore

Senior Data AnalystPrimary LocationSingapore, Central Singapore Community Development Council, Singapore

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Overview

At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world.

We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act.

Our legacy inspires us as we forge ahead, always pushing to discover what’s next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of life.

Status:Full-Time

Level:Mid

Travel:No

Glassdoor Rating: 70%

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What you need to know about the jobJob ID1028177Date posted7/12/2018Primary LocationSingapore, Central Singapore Community Development Council, SingaporeJob CategoryInformation TechnologyScheduleFull timeShift1st Shift Non-Mfg/AUS Support (Singapore)

Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

The Global Digital Technology and Innovation team drives the adoption of new technologies and analytics for a $26B worldwide business. The team leads key initiatives across the world sponsored by senior leadership and is responsible for business process and data analytics led innovations.

Job Description

In a typical day as a Senior Data Analyst you would do the following:

Operational:

  • Creating plan, guiding and monitoring data analysts to ensure that the team targets are met.

  • Set up roadmap that will bring in latest technologies and approaches into the organization, like machine learning, creative data visualization,

  • Consulting with internal customers (e.g., Operations, Logistics, Sales Ops) to develop analyses that leads to actionable insights

  • Wrangling data from multiple sources including sales, inventory, product, and customer data to create integrated views that can be used to drive decision making.

  • Design and build workflows, with visualizations that support decisions for individual process steps.

  • Support global business teams as they adopt the use of analytics in decision making

  • Work with software development teams to implement analytical tools for decision support

People:

  • Managing a team of high performing knowledge workers to bring out the best of their ability.

  • Encouraging the team to come up innovative and challenging approaches.

Education and Experience Required:

  • First level university degree or equivalent experience in one of the following areas - Economics; Computer Science; Engineering; Physics; Math, Statistics, Business

  • Advanced university degree would be additional advantage

  • Must have at least 10 years of total experience

Other attributes required

  • Highly analytical data enthusiast who enjoys data wrangling

  • Very strong analytical skills.

  • Very strong written and verbal communication and presentation skills

  • Analytical, creative, and innovative approach to solving problems

Knowledge and Skills:

  • Developed business acumen, including understanding of the company's overall business model

  • Knowledge of forecasting, statistical models, segmentation schemes, and data-driven analyses

  • Latest trends in exploratory data mining.

  • Must have team leadership and project planning skills.

  • Experience in databases and programming.

  • Must have experience in using data visualization tools.

  • Must have experience in data mining from a large data store.

  • Experience in optimization simulation, and/or predictive analytics using latest tools.

  • Experience in Machine learning for data analysis will be an additional advantage.

Then, apply now! We offer:

• A competitive salary and extensive social benefits

• Diverse and dynamic work environment

• Work-life balance and support for career development

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