data analyst in Kuala Lumpur

posted
contact
desiree faye mu fuiling, randstad
job type
permanent
salary
RM 9,000 - RM 13,000 per month

job details

posted
location
kuala lumpur, wilayah persekutuan
specialism
information technology
job type
permanent
working hours
Full-Time
salary
RM 9,000 - RM 13,000 per month
experience
5 years
reference number
91M0150428_1604992097
contact
desiree faye mu fuiling, randstad
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job description

Data Analyst (Mid-Senior)

  • Listed company on Bursa Malaysia
  • Leading company in its field
  • Big Team


about the company

Your future company is a renowned local conglomerate, with international footprints – operations in more than 10 countries and growing. Your next employer has over 15,000 headcount and growing extensively, they are known for its good tracking record and its rich history. They are culturally diverse, strong knit, a go-getter and solution-driven, their team is internationally-sourced from world-class organisations.


about the job

The position entails the enhancements, development of dashboards, data warehousing, deliver effective analytics results to users.

Key Responsibilities

  • Evaluate, understand and implement analytics solutions, solving the problem(s)
  • Participate in the designing of dashboards
  • Apply data mining (statistical learning) techniques to extract business insights from data
  • Perform data extraction, enhancement and manipulation on large databases
  • Produce visualisations dashboards to track key business metrics
  • Collaborate with various teams and business units, ensuring the execution is successful
  • Be a part and a support of their digital projects
  • Engage with clients and stakeholders

about the manager / team

This role is for you if you enjoy and excel in working within driven team, and working in a company where support is given to help employees to achieve their full potential in their career.

skills & experience required

  • A Bachelors degree in Data science, IT/ Mathematics, Actuarial, Engineering and other related fields
  • A problem solver
  • Good knowledge in machine learning techniques
  • Experienced in Python – solving data science questions
  • Good knowledge in Data Warehousing and Data Engineering
  • PowerBI/ QlikView – develop visualisation solutions
  • Certified in PowerBI and machine learning-related will be an added advantage

If you share the same passion, fun, energetic and would like to work in a progressive and forward thinking environment, kindly send your latest CV to us by applying or give us call for a confidential discussion.

Desiree Mu | Randstad | 03 2036 7550




skills

no additional skills required

qualification

no additional qualifications required

educational requirements

Associate Degree/Diploma