Data Specialist at BroadReach

Purpose of the position
The Data Specialist will work collectively with the SI-MER team to provide expertise in the field of data processing and engineering. The role will lead and implement data engineering projects, support, and maintain data pipelines, and provide expertise and best practices regarding data engineering for staff across the organisation. As needed, the Data Specialist will design and develop new data engineering pipelines as part of the SI-MER Team. Further, the Senior Data Specialist will help decide how and implement improvements to pipeline, systems, and infrastructure to support the development of analytics output and data reporting.

Key Accountabilities

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Liaising with SI-MER team and the rest of the APACE team to elucidate the requirements for each task.
• Conceptualising and generating infrastructure that allows big data to be accessed and analysed.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Python, SQL and other applicable technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
• Preparing raw data for manipulation by the SI-ME team analysts
• Remaining up to date with industry standards and technological advancements that will improve the quality of your outputs.

Qualifications
Essential qualifications

• Bachelor’s degree in Computer Science, Management Information Systems Engineering, or related qualification
• Master's degree in a relevant field is advantageous.

Desirable Qualifications

• N/A

Experience & Skills

• At least 6 years of experience working with a team throughout the development lifecycle in an Agile development environment for Business Intelligence tools
• Proven experience as a data engineer, software developer, or similar.
• Expert proficiency in Python, and SQL. Knowledge of C++, Java will be beneficial
• Excellent analytical and problem-solving skills.
• Capacity to successfully manage a pipeline of duties with minimal supervision.
• Experience performing systems analysis for systems that cross multiple components and impact multiple systems.
• Experience managing software projects using tools to facilitate the DevOps process such as Monday.com Trello, Jira or Microsoft DevOps.
• Possess technical writing skills and ability to review work products such as: Use Cases, Detailed Functional Requirements,
• Detailed Design Specifications, and Software Requirement Specifications.
• Demonstrated experience in working within a multi-disciplinary team in a fast paced, technically challenging environment.
• Excellent leadership, management, coordination, interpersonal and teamwork skills.
• Experience working with public health and reporting systems like, TIER.NET, Excel, DATIM, DHIS and Synch will be advantageous
• Excellent communication skills
• Valid Driver’s License

Personal qualities & Behavioural competencies

• Ability to connect the dots, make linkages and collaboratively work across the organization to optimize the client experience
• Be solution focused
• Has a customer centric mindset
• Able to connect with clients at different levels
• Maintain confidentiality
• Judgement
• Analytical Thinking
• Results Orientation
• Self-management
• Adaptability
• Communication
• Client Solutions
• Professional Presentation
• Apply Technical Expertise
• Health system awareness
• Organizational insight
• Planning and organizing