Consultant Staff

  • Job Ref.No: 01149799
  • Budget:
  • Timeline: to be confirmed later
  • Closing on: 02/06/2020
  • Country: Singapore

Job Description

Part-timers & Freelancers are Welcome to apply this Full time position
Dive into company data to identify sources and features that will drive business objectives.
Build powerful, stand-out dashboards and automate reports for core business metrics and performance trends.
Grasp users’ needs and challenges, and translate them into business and technology solutions
Tap on your inner artist – use creative data visualisation techniques and tools to give users the best experience possible
Prototype new ideas as part of a digital product team – from research to release
Migrate and operationalise home-grown reports to enterprise grade business workflows powered by data insights - work with data engineering team throughout the data lifecycle from source to analysis to modelling.
Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
Bring your experience and ideas to effective and innovative engineering, design and strategy
Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:
Contributing to our internal networks and special interest groups

Mentoring to upskill peers and juniors
Job Requirement
Prior experience building compelling and usable data visualizations and analytics with commercial and/or open source BI tools
Certification or hands-on experience in leading data analytics and visualisation products such as Tableau, Qlik, PowerBI, MicroStrategy, SAS Visual Analytics
Excel in Excel!
SQL proficiency necessary to build and maintain complex queries and data pipelines
Undergraduate or graduate degree in Computer science or equivalent
Experience with integrating dashboards and reports into applications and web forms
Data pipeline and/or database development experience
Prototyping and development skills in web front-end technologies such as JavaScript frameworks (Angular, React) especially on charting libraries (Highcharts, D3, Chart.js)

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