Data Analyst Full Time

The Data Analyst is responsible for the combining manufacturing domain, IT and Machine Learning skills to develop solutions that use artificial intelligence algorithms to optimize elements of the Company’s manufacturing operations and deploy pilot and production solutions.

BASIC EDUCATIONAL REQUIREMENTS:

• Formal Schooling / Degree
• Minimum Bachelor’s Degree in Mathematics, Statistics, Data Science, Analytics, Software Engineering, Operations Research, or related analytic field is required. Bachelor’s Degree in Mechatronics or similar engineering discipline. (advantageous)

Minimum of 5 years relevant experience in:

• ETL, data processing and data mining, with a focus on large database transactions, with 2+ years in a data analyst role in manufacturing/engineering domain
• Data modelling and database management
• Developing analytic pipelines with programming languages such as Embedded C/C++/Python
• Knowledge of manufacturing industry and engineering analytics (such as Fourier analysis, vibration analysis and signal processing)
• Training and Deployment of Machine Learning models using AWS Sagemaker, on both edge devices and cloud computing environments
• Microservice-based IoT architecture components including ReSTful APIs, gateways, messaging protocols (MQTT) and containerization technologies such as Docker (advantageous)
• Architectures for distributed computing in support of parallel analysis algorithms on premise and AWS cloud
• Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Professional software engineering & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations
• Communicating with users, software development engineering teams, and management to collect requirements, describe software product features and technical designs

Area of Accountability Core Responsibilities / Tasks:

Data Analysis:

• Analyses machines and equipment to establish operating data, conducts experimental tests, and evaluates results
• Setting up and managing new data pipelines on premise AWS cloud
• Data analysis of historical manufacturing operations and build statistical performance profiles of machine and manufacturing assembly activities
• Develop simulation and artificial intelligence algorithms in support of operations optimisation of Industrial Engineering use cases
• Deployment of models into production environments (on premise and cloud)

Communication and Reporting:

• Provide information on feasibility of prospective analytical applications and participate in analytic project decision making
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
• Work closely with customers, managers, and technical teams to define scope, goals, and deliverables
• Work independently and with technical team to develop analytic products and machine learning based applications.
• Develop plans, designs experiments, outlines research procedures to be followed
• Plans schedule of activities according to organization’s timetable, and establishes daily or weekly routines necessary to meet project timelines
• Performs and reports interim analysis of accumulated data to provide status of project or research
• Authors technical reports, prepare and present project communication for customers, key stakeholders

Support:

• Provides expertise in field of research to other department members and participate in multi-disciplinary teams in a collaborative environment
• Provides engineering support to internal and external customers including technical support, sales product application, customer service support

SPECIAL KNOWLEDGE, SKILLS & DUTIES:

• A passion 4IR (4th Industrial Revolution) technologies in manufacturing /engineering sectors
• Skilled in communicating technical information in a variety of formats (presentation, technical report, email, etc.).
• Solid foundational knowledge of statistical analysis techniques (regression, hypothesis testing, statistical inference, etc.)
• Ability to work with mathematical concepts such as probability and statistical inference, linear algebra, and calculus
• Ability to apply mathematical and machine learning concepts to practical and research situations
• Specialist skills in taking ownership and driving innovation, process improvement and contributing to overall corporate operations.
• Ability to make sound decisions within your sphere of responsibility and take responsibility for delivering to plan and on time.
• Highly developed interpersonal skills including the ability to participate in a team environment demonstrating clear communication and mutual respect.
• Ability to embrace change in response to new initiatives, strategic direction or external requirements.
• Demonstrated leadership by engaging in open communication with colleagues, respecting their input and working collaboratively.
• Demonstrated high level performance in the field consistent with internal and external best practice.
• Demonstrated knowledge of workplace obligations to, and experience in leading and cultivating workplace practices and behaviours that promote, support and maintain a safe, healthy, equitable, diverse and respectful workplace; including responding appropriately to adverse accidents, incidents, behaviours, issues, reports and the like.
• Knowledge of, and experience in adhering to workplace policies and procedures in the areas of work health safety, equity, diversity and promoting a respectful workplace culture

Salary is market related