Head of Analytics

3 weeks ago

Kuala Lumpur, Malaysia Ace Resource Advisory Services Sdn Bhd Full time

Job Description

Lead the analysis agenda to deeply understand our customers, our and their actions, our product offering and experience, what works or doesn’t, and develop future strategy based on that understanding.

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Define technical strategies for processing, analyzing, interpreting, big data sets.

Leverage machine learning and modelling techniques to identify, analyze and present actionable data to drive business decisions.

Deepen the culture of data-driven decision making across product, operations, customer experience, and everything else.

Get (really) hands-on with analysis, coding and execution, in addition to managing contractors as necessary.

Turn the complex data-driven insights you generate into simple communication for the company at large.

Help the company ask the right questions, and look for answers to those questions in the right places.

Continue building and scaling our (already formidable) data infrastructure and tech stack to power everything from BI dashboards to deep-mineable ad-hoc datasets.

Build scalable internal systems and processes that allows the analytics function to deliver maximum insights and impact, the engineering team to deliver product that’s pre-wired to deliver clean data, and the business to rapidly make data-driven decisions.

Understand the current AS-IS process, identify the gaps/challenges, agree with the process, business owner the TO-BE process and position the use of digital technology to deliver the required value.

Prioritizes and manages Business Process Improvement portfolio of projects, appropriately tracking success measures to effectively execute improvements, drive performance objectives and demonstrate value.

Coordinate/Collaborate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements

To be successful in this role, it is recommended that you should have the following skills and qualifications:

At least 8 year(s) of working experience in the related field is required for this position.

Several years of experience interfacing both with engineering (as a client for actionable data) and business (as a function to deliver insights) partners.

Write Data Definition Language or Data Manipulation Language SQL commands, be responsible for improving data quality and for designing or presenting conclusions gained from analyzing data using statistical tools like Microsoft Excel, SAS, SPSS and others.

Perform analysis and deduce conclusions or observations from analysis.

Able to design and improve data models.

Able to interprets the modelling results, determine modes, reading scoreboards.

Preferably with hands-on experience on SAS, SPSS, or other analytics platform.

Programming background in R, Python, and SQL are a must.

Having Experienced in Machine Learning tools like Tensorflor, DeepDream, Amazon Machine Learning, Google Cloud Vision, etc.

Working experience in diverse domains including maintenance, supply chain, manufacturing or plantation.

Technical expertise on systems, BI infrastructure, tech & reporting stack, etc.

Several years of experience generating unbiased, pressure-tested, and actionable insights from massive data sets using whatever tool/language as needed (Excel, SQL, R, Python, whatever is needed).

Tremendous attention to detail and desire to understand the underlying reality of the business operations, audience characteristics, etc.

Presenting data in charts, graphs, tables, designing and developing relational databases for collecting data and in some organizations it also includes building or designing data input or data collection screens.

Process manufacturing technology & system exposure for Pulp and Paper Manufacturing, Palm Oil refining and Viscose Fibre Manufacturing will be a bonus.

Bachelor's or Master's Degree in Artificial Intelligence/ Data Science/ Machine Learning/ Software engineering/computer science/ MIS/Engineering or related discipline.

Master’s degree is preferred

Assessment

To ensure that you are qualified to be in this role, we will have a brief assignment for you to revert to us. This is crucial in order for you to be shortlisted to be part of our team.

The assignment will be given to you within eight (8) working hours upon form submission.

You will be given one week’s time from the date of submission.

Once you fulfill and revert the required assignment including its files, your application will be processed immediately and our representative will be contacting you soon.

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