Current Vacancies at SoluGrowth Pty Ltd

Description

• Freelance / Adhoc position 
• Ability to speak, write & read French at a proficient level.
• Accurately and idiomatically turn the French message into English without any additions, omissions or other misleading factors that alter the intended meaning of the message from the client and vice versa.
• Communicate orally including appropriate delivery and poise.
• Being impartial/objective
• Attending meetings both physically or virtually with SoluGrowth’s French client and able to minute the sessions in both English and French.
• Being a brand ambassador for SoluGrowth aligned to our values (Integrity, Accountability, Customer Centric, Excellence, Innovation & Mutual Respect)
• Business acumen by understanding consulting services i.e., accounting, payroll, IT support etc.
• Able to understand SLAs, KPIs and contractual clauses and interpreting these from French to English and vice versa.
• Great people management skills
• Understanding of the South African culture/environment

Requirements

• Matric
• Diploma in communications / Business Management or equivalent 
• Must have at least 3-4 work experience in a corporate environment 

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Description

• Promoting collaboration and knowledge sharing through defining, supporting and encouraging the use of knowledge to employees of all skill levels and roles
• Ensuring that knowledge technologies are up-to-date and working according to function, as well as ensuring that employees are not misusing company tech infrastructure.
• Controlling the accessibility and flow of knowledge within the organization and to external parties
• Helping capture new knowledge with the usage of a knowledge base.
• Monitor progress by leveraging analytics to assess the impact, engagement, functionality, and effectiveness of knowledge management strategy.
• Providing relevant coaching, training, and support to champion a knowledge management culture.

Requirements

• Degree in IT or equivalent
• 2+ years experience as a Knowledge Manager
• Attention to detail
• Experience in structuring large volumes of data
• Ability to build a framework for knowledge management
• Excellent communication and planning skills

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• We are looking for a Digital Feature Analyst to join our rapidly growing digital team and assist us in recommending the best digital products/solutions to launch in various markets we operate in, to increase profitability within the company’s business and digital transformation vision.
• The successful candidate will be responsible for clarifying business requirements, documenting associated user stories and acceptance criteria, through in-work collaboration with business stakeholders, cross functional teams and product owners across our business process services in finance, health and insurance etc, contributing to the accurate and effective end-to-end delivery of expectations. To assume the role of scrum master within the digital and business transformation and information technology teams, looking at market data to determine what digital products to launch and interviewing customers to understand their needs.
• Ultimately, the candidate will work with our clients and various community of practice leaders in our organization to help us determine what digital products/solutions we should launch to maximize profitability and realization of our global digital business model.

Responsibilities:

• Develop and oversee medium to large scale digital and business transformation projects.
• Analyze metrics to continually improve company and client’s digital products.
• Assist the company in achieving short and long-term goals relating to digital product growth.
• Work with our community of practice leaders to improve the analysis and presentation of our digital products/solutions.
• Proven work experience as a Business or Product Analyst within a digital environment or similar role.
• Proficient in database software SQL, Oracle, Jira, Confluence, Celonis, PowerBi (Dax or M-Query languages), Programming Python & R (Business Analytics Packages).
• Strong communication and negotiation skills, logical and critical thinking skills.
• The ability to work under pressure and adapt to change.
• Relevant training and/or certifications as a Business or Product Analyst.
• Prioritize and Plan work activities within the Digital Feature role.
• Manage the Backlog for the Digital Feature role.
• Collaborate with the team to deliver on backlog.
• Wear different hats: designer, tester, facilitator, product owner, etc.
• Create a shared understanding of what the digital product is supposed to do.
• Understanding business needs and be able to analyse requirements.
• Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by other business stakeholders.
• Evaluating the company’s digital products and comparing them against industry trends.
• Developing an understanding of company products to meet the company's current and future needs.
• Providing assistance with digital products and customer satisfaction, rating reviews and associated voice of customer technologies.

Requirements

QUALIFICATIONS:

Minimum Qualifications:

• Degree in BCom Informatics or a related field.
• Certifications in IIBA AAC/CBDA/CPOA or CCBA/CBAP or related.
• Service Design, Design Thinking, Lean Six Sigma, Scrum or SAFe industry accredited certifications will be advantageous.
• Consulting background will be advantageous.

Experience:

• 2 - 3 years proven experience in requirement elicitation, gathering, documentation and management and analysing digital business needs and provide solutions, working in an agile environment.
• 2 - 3 years good understanding of agile working practices, LEAN and SCRUM proficiency and working collaboratively across teams.  Agile methodologies, digital business analysis, SDLC, requirements management and business support.

ADDITIONAL INFORMATION

Behavioural Competencies:

• Taking Action
• Team Working
• Adopting Practical Approaches (Pragmatic)
• Embracing Change
• Articulating Information

Technical Competencies:

• Digital Business Analysis/ Feature Analysis
• Digital, Data and IT Knowledge
• Requirements Gathering and Management
• Process Analysis, Focus Groups, Surveys & Interviews, Workshop Facilitations
• Research & Information Gathering
• Stakeholder Management (Digital, Data and IT)

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As a Secretary, you will play a crucial role in supporting our organisation by providing administrative assistance and ensuring the smooth operation of our day-to-day activities. Your exceptional organisational skills, attention to detail, and ability to multitask will be instrumental in managing various administrative tasks and maintaining effective communication within the company.

• Schedule and coordinate meetings for executives, ensuring all necessary arrangements are made.
• Provide assistance to executives with various project tasks, ensuring timely completion and accuracy.
• Make travel arrangements, both international and domestic as required, ensuring smooth and efficient logistics.
• Screen incoming calls through the switchboard, directing them to the appropriate individuals or departments.
• Manage the front desk and reception area, warmly welcoming visitors and ensuring their needs are met.
• Monitor and manage the Info Mailbox for the marketing department, organising and distributing messages appropriately.
• Type general correspondence, such as memos, letters, and emails, maintaining high accuracy and attention to detail.
• Collate, sort, and distribute marketing materials, coordinating with couriers and ensuring timely delivery.
• Request and record access for new staff members, ensuring proper authorisation and documentation.
• Assist the Tender office with the preparation and submission of tender documents, adhering to specified guidelines.
• Maintain and order office supplies and stationary, monitoring inventory levels and restocking as needed.
• Handle general office administration tasks, including filing, organising documents, and managing office equipment.

Requirements

• Excellent grammar skills, ensuring accurate and professional written communication.
• Computer literate with advanced skills in PowerPoint for creating engaging presentations.
• Display attention to detail, meticulously reviewing work for errors and maintaining high standards of quality.
• Demonstrate self-motivation, taking initiative and actively seeking opportunities to contribute to the team's success.
• Exhibit strong self-management skills, effectively organising and prioritising tasks to meet deadlines.
• Capable of multitasking, efficiently handling multiple responsibilities and projects simultaneously.
• Ability to prioritise tasks effectively, identifying and addressing the most critical and time-sensitive projects.
• Collaborate effectively in a team environment, fostering positive working relationships and contributing to collective goals.
• Strong communication skills, both written and verbal, to communicate clearly and effectively.
• Display a proactive attitude, anticipating needs and taking proactive steps to address them.
• Comfortable working with individuals at all levels of the organisation, from junior to senior staff members.
• Approachable yet firm manner, establishing a professional and respectful attitude in all interactions.

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• The candidate will be designing and evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, applying algorithms to enhance the accuracy of our internal and client’s digital assets from predictive, prescriptive, adaptive to autonomous capabilities, helping us create artificial intelligent and autonomous digital ready products/solutions.
• The ultimate goal for the candidate will be to shape and build efficient self-learning digital apps, demonstrate solid data science knowledge and experience in creating machine learning models and retraining systems, showing exceptional skills in statistics and programming.
• The person will be reporting to the senior manager and also support and delivery of digital transformation projects within the business and clients. Working closely with our Business Transformation Team and Information Technology Operations delivery teams to successfully deploy machine learning models/projects for the company and its clients.

Responsibilities:

• Consulting with senior managers/managers and business executives to determine and refine machine learning objectives.
• Designing machine learning systems and autonomous artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyse huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning, research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems, when necessary, extend existing ML libraries and frameworks

Requirements

Requirements and skills:

• Bachelor's degree in computer science, data science, mathematics, or a related field.
• Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
• At least 2-3 years' proven experience as a Machine Learning Engineer or similar role
• The candidate should have previous consulting background interacting with clients and stakeholders.
• Understanding of data structures, data modelling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to use and write robust code in Python, SQL, SAS and R including Java, Docker, GitHub, PowerBi, Tableau, GGPlot2, Plumber & Swagger REST APIs etc
• Extensive knowledge and familiarity with machine learning frameworks (like Keras or PyTorch, H2o, MLFlow, Tidymodels, etc ) and libraries (like scikit-learn, Tidyr, Tidyverse, Shiny etc)
• Superb analytical and problem-solving abilities, great communication and collaboration skills.
• Excellent time management and organizational abilities.