Asia Pacific / Malaysia / Selangor / Bandar Sunway /

Analytics

#: 743999736150804 / REF2242I

Mid-Senior Level

Full-Time

Job Description

ABOUT THIS JOB 

In this role, you will be responsible for building, transforming & enhancing custom client datasets using platforms/ software like Python, Alteryx, Tableau or other existing analytical tools using Nielsen data.

RESPONSIBILITIES

  • Design, develop and embed into regular production, data transformation workflows using tools such as Python, Tableau, Knime, Alteryx.

  • Maintain robust workflows

  • Provide leadership on designing robust and sustainable deliveries to the clients that can run weekly without compromising quality.

  • Work in collaboration with the existing account team to document the functional specifications of each data workflow

  • Foster a culture of continual improvement, proactively seeking opportunities for improvements in analysis, reporting, and processes 

 

A LITTLE BIT ABOUT YOU

You’ve dabbled in data. You’re comfortable with Python. While you’ve worked with cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next. 

 

 QUALIFICATIONS

  • At least 3 years of previous experience in a data analyst role 

  • Strong Python experience,

  • Experience in back-end data management DBA / ETL 

  • High attention to detail and accuracy to ensure data integrity

  • Highly organized, with the ability to own and prioritize a variety of tasks and projects and work within strict timeframes  

  • Advanced knowledge of Excel

  • Additional skills and experience with Alteryx, Tableau or Knime  

  • Excellent written & verbal communication skills are essential for stakeholder engagement responsibilities

  • Background in the Development of data visualizations and dashboards

 

Qualifications

https://jobs.smartrecruiters.com/TheNielsenCompany/743999736150804-expert-client-instructions-data-analyst