Latest Openings at PPS

Job Advert Summary    

Reporting to the Lead DevSecOps Engineer, this role will provide user administration support on desktop, cloud and account management. Also, administer the organization’s Help Desk Ticketing software and triage and assign tickets.

Minimum Requirements    

Education:

• Post matric qualification

Experience:

• Knowledge of computer workstation functionality and components.
• Proven experience in diagnosing and resolving hardware/software issues within a help desk environment.
• Experience with Microsoft desktop application support.
• Sound knowledge of PC hardware.
• Experience with Microsoft servers will be an added advantage.

Knowledge and Skills (maximum of 10):

• Ability to identify the root cause of problems in a timely and accurate manner and bring them to a successful resolution.
• Ability to implement application software within an organisation to help end-users perform specific tasks.
• Knowledge of ticketing systems.
• Experience with ServiceNow (SNOW) will be an added advantage.
• Basic understanding of cybersecurity /precautions they need to take to protect client data.
• IT Diagnostics.

Competencies:

Customer service skills

• Excellentcustomer service skills, operating with a strong sense of urgency.
• Dedication, teamwork and professionalism.
• Apply critical thinking, design thinking and problem-solving skills in an agile team environment to solve end-user technical problems/opportunities with high-quality solutions.

Duties and Responsibilities    

User and Identity Management

• Follow standard help desk procedures (New User, Terminate User, Application Access Request) and manage access control based on company policies.
• Set up workstations for new employees and provide IT introductory training.

Maintenance and support

• Provide technical support and guidance to both agents and managers when needed.
• Server maintenance and updates, including patch management, performance monitoring, and hardware maintenance.

Virus management

• Troubleshoot current Microsoft operating systems, servers and workstations.
• Provide support after normal working hours when necessary.
• Perform system backups and conduct tests for data restores.
• Follow documented processes.

Manage Resources

• Oversee and manage IT resources, systems, and networks to ensure optimal functionality.
• Maintain and update the IT infrastructure, including hardware, software, and security protocols.

Document technical support procedures, risk & governance

• Implement and manage IT policies and procedures to ensure compliance and security.
• Keep abreast of industry best practices and emerging technologies to improve the help desk’s effectiveness and continuously optimise and evolve solutions.
• Update / Design all application documentation aligned to the organisation's standards and risk/governance frameworks.
• Identify technical risks and mitigate them (pre-, during & post).
• Participate in incident management & DR activity – applying critical thinking, problem-solving & technical expertise to get to the bottom of major incidents.
• Provide technical support and guidance to internal and external users when needed.
• Be accountable for achieving all SLA / OLA and performance objectives and targets.

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Job Advert Summary    

Reporting into Gemini: CIO, the Data Analyst will utilise their analytical, statistical and programming skills to mine, generate, analyse, interpret visualise large data sets and deliver on data-driven projects.

The Data Analyst will support stakeholder decision-making with data insights, predictive modelling and transforming data into readable, goal-oriented reports that drive innovation and growth while maintaining the organisation’s BI solutions.

Minimum Requirements    

Education: 

• An appropriate bachelor's degree in (BSc, Mathematics, Computer Science, Statistics or any other relevant field).
• SQL and Power BI certifications are advantageous. 

Experience: 

• 3-5 years in Data Analyst role especially in the insurance industry.
• 3-5 years of experience extracting and aggregating data from large relational databases, data mining and predictive modelling.
• 3–5 years of experience developing data visualization solutions to support users understanding of results.
• 3-5 years of proven experience as a Data Analyst in the Insurance industry.
• Advanced skills in SQL.
• Excellent communication skills and the ability to present complex findings clearly and understandably.
• Strong attention to detail and a commitment to delivering high-quality, accurate analyses.
• Proven experience in Power BI and reporting tools.
•  Previous experience in a similar role within the data model operations.
• Data modelling experience.
• Comfortable in mapping business questions to data problems.
• Proven experience in stakeholder management, acting as a business partner across different areas.
• Strong experience in ETL.

Knowledge & Skills:

• Advanced working SQL knowledge and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, technologies, languages and visualisation engines (Power BI, Tableau, etc).
• Knowledge of a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• Knowledge of data visualisation and ways to best convey messages to different audiences using qualitative and quantitative insights.

Competencies: 

• Strong Data Management Skills.
• Decisiveness.
• Strong innovative flair .
• Project management skills.
• Conceptual skills.
• Systems thinking.
• Effective communication.
• Results Oriented

Duties and Responsibilities    

Data Mining and Processing:

• Work with organisational stakeholders to identify opportunities to solve business problems by leveraging company data and applying advanced data modelling techniques.
• Mine and analyse data, draw insights and share these effectively across the business to enhance business decision-making and optimise member and commercial business outcomes. 
• Research new data sources and analytical tools with the aim of improving the process and underlying data analysis.
• Understand the quality of data and engage with relevant stakeholders to correct data (if and when necessary), thereby ensuring usability is in line with requirements.

Dashboard and Reports Development:

• Design and develop interactive and visually appealing dashboards using tools such as Power BI ensuring accessibility and usability of those dashboards for stakeholders.
• Work with the team to ensure that the Power BI platform is designed to help the organisation to scale. 

Data Quality Assurance:

• Implement and maintain data quality assurance processes to ensure the accuracy and reliability of data.
• Identify and resolve data anomalies and discrepancies.
• Implement best practices across the company’s data landscape relating to data analysis, business intelligence and data governance principles.

Forecasting and Predictive Modelling:

• Develop forecasting models to predict trends and customer behaviours.
• Implement predictive modelling techniques to enhance decision-making processes.
• Interpret trends and patterns in data and provide the business with actionable insights.
• Design metrics to help assess how the business is performing on a day-to-day basis.

Performance Monitoring:

• Monitor and report on key performance indicators (KPIs) related to sales, customer acquisition, website performance, etc.
• Provide regular updates to leadership on data-driven insights.

User Support:

• Train other employees in the organization on how to access Data Analytics and how to make the best use of available reports.

Research and Adhoc Analysis:

• Keep up to date with new data assets and products to identify new opportunities, capabilities and trends that would add value to business.
• Conduct ad-hoc analysis to address specific business questions and challenges.
• Proactively identify areas for optimization and improvement.
• Create and test hypotheses for implementation within the organisation.

Other Duties: 

• Perform similar duties and duties as delegated by the Lime Manager or the Employer.

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Job Advert Summary    

Reporting into Gemini: CIO, the role will be responsible for the automation and configuration management of the business’s servers and provide stable environments for the delivery of quality.

The successful candidate will:

• Oversee and lead the activities of the DevOps department.
• Be responsible for the automation of all manual tasks for the building and deployment of both code      and data to enable continuous integration and continuous deployment frameworks. 

Minimum Requirements    

Education: 

• Degree in Computer Science or any other relevant field.
• Cloud and DevOps certifications are advantageous. 

Experience: 

• At Least 5 years of working experience in a DevOps capacity, preferably as a DevOps Engineer.
• Experience in automating and managing large-scale infrastructure and significant familiarity with off-the-shelf insurance platforms. Vast
• experience in systems automation, orchestration, deployment, and implementation.
• Experience using Jenkins and Linux as well as experience configuring and automating monitoring tools.
• Demonstrate experience in software development and experience working with tools and languages such as MySQL, SaaS, Git, Python, Shell scripting, Java, MongoDB, etc.
• Demonstrate experience in scaling distributed data systems, for example, Hadoop, Elasticsearch, and Cassandra, among others.
• Experience with highly scalable systems, inclusive of frontend and backend website tiers. 

Knowledge & Skills:

• Understanding of monitoring solutions for all layers of web infrastructure.
• Technologically adept and have demonstrated computer skills, as well as skills in scaling distributed data systems.
• Comprehensive understanding of Google Cloud Platforms and highly familiar with big data clusters, Hadoop, and NoSQL databases.
• Exceptional scripting skills through Python, Shell, and Ruby.
• Working knowledge of monitoring tools such as Graphite, Nagios, MixPanel, Newrelic, Track.js, etc.
• Skilled in the configuration, maintenance, and securing of Linux systems as well as skill in scripting languages such as Shell and Ruby. He will also need to have skills in infrastructure automation tools.

Duties and Responsibilities    

Management: 

• Management and development of continuous integration and deployment solutions for production applications across various sites/software.
• Spearheading the creation of new technology infrastructures and maintaining configuration management and automation tools.
• Conduct training for junior DevOps engineers and other engineering teams on how to build processes where dependencies are represented clearly in code.
• Troubleshoot issues in development systems, architecture and technical leadership of the entire DevOps infrastructure.
• Enable the automation of configuration management of all development, quality assurance, and production servers as well as the automation of continuous integration and continuous delivery.
• Guide junior departments in the automation of the business’s data pipeline from the internal database servers.

Strategy: 

• Create software deployment strategies that allow DevOps engineers to successfully deploy sites/software in any environment.
• Update configuration management tools, code, and modules to streamline implementation and supportability.
• Create solutions for managing and ingesting large numbers of documents in real time, enabling prompt search and analysis.
• Implement monitoring solutions that identify both system bottlenecks and production issues.
• Identify and implement data storage schemas such as clustering to maximize performance.

Design and Development: 

• Design, build, and optimize comprehensive automation systems that operate the business’s portals, web, mobile, core system and data and reporting infrastructure platforms.
• Support the product engineering team with CI/CD automation.
• Design scaling strategies and develop automation scripts and solutions to streamline, implement, and testing sites/software.
• Develop self-service solutions for the engineering department to deliver sites/software with great speed and quality.

Collaboration and Support: 

• Coach the engineering development department personnel in the workings of reusable tools and patterns, for example, reusable code.
• Support engineering teams in the implementation of lifecycle infrastructure solutions and documentation operations to meet the engineering department’s quality and standards.