Data Specialist

2 weeks ago

Cape Town, Western Cape, South Africa Puleng Pulane Consultants Full time

The purpose of this position is to support the company's Strategic Information function, which is located within the Department of Programs and Technical Support, by managing data and facilitating data access across multiple data sources and platforms; as well as by conducting data analytics and modeling, as well as reporting and data utilisation, for improved program management and optimal client outcomes.

Qualification and Experience
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An Honours/Master's Degree in a relevant field such as Mathematics, Statistics, Computer Science, Engineering, Data Science, Social Science, Business Science, Health Science or another quantitative field is preferred.
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_Minimum of 7 years experience as a Data Specialist / Data Analyst / Data Scientist / Research Analyst applied in a quantitative field of analysis. Development experience is a plus_.
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Experience in working in a HealthCare and Development context, in resource-constrained settings:

  • Proven experience in data analysis, database querying, data mining, data analytics, reporting and effectively communicating data to stakeholders.
  • Understanding of or experience with data visualizations & machine learning is a strong recommendation.
  • Experience in using python,
    SQL, R or a similar statistical tool is a must, cloud experience is desired.
  • Experience using business intelligence tools (e.g., Tableau) and data frameworks
    (e.g. Hadoop, XML, JSON, JavaScript) is a strong recommendation.
  • Experience in using R,
    SQL and Python, Cloud Technology (GCP); familiarity with Scala, Visual Studio,
    Java or C++ is an asset.
  • Strong experience in time management, team management and leadership acumen
  • Strong experience in analysing and managing risk and problem solving
  • Strong communication skills, attention to detail, and the ability to negotiate and resolve conflict

KIPs

Managing Data Science, Machine Learning & Big Data:

  • Lead the data science team at DPTS and provide technical expertise on data analysis, sharing and data storytelling.
  • Lead routine collation of relevant datasets from multiple internal and external sources, including undertaking preprocessing of structured and unstructured data to produce data products.
  • Collaborate with country tripods, and country team to manage routine and ad hoc total data quality assurance practices to ensure optimal client outcomes.
  • Lead the conceptualization, planning, interpretation of, and execution of datafocused problemsolving using analysis, modeling, and ML approaches

Lead the development and performance of bespoke data mining, wrangling & exploration models:

  • Lead the development & utilization of predictive models and machine-learning algorithms to improve client outcomes and business processes.
  • Lead routine updating of company's ETL and EDA processes, including monthly reporting, BIO reporting, CQI analyses, APR, and routine dashboards.
  • Lead the use of critical data analysisanalytics and investigative skills, as well as an ability to communicate findings, to mine vast amounts of data for insightful performance management insights, trend analysis, predictive modeling, and identification of programmatic innovation and new implementation opportunities.

Supportive Supervision, Management

  • Lead the developing and documenting of the SI routine M&E system inclusive of, but not limited to the information pipeline, reporting schedule and reporting templates, routine M&E Tools, as well as Data Quality Audit tools and processes.
  • Manage and support the development of SI/Data training materials, training of trainers & inservice training coordination at HO (e.g., manuals, PowerPoint slides, Job Aids, etc.).
  • Manage the documentation, development, routine updating, and maintenance of SI, data management, and related tools in support of company and country teams
  • Lead collaboration with HO and country teams to ensure innovative digital health solutions for company programs are identified, modified, maintained and standardised.

Lead Data Science Project Management

  • Lead the updating and maintenance of routine data science project management toolkit and templates.
  • Manage the training, capacity building and process mapping of data science projects for the company
  • Provide leadership and support for the initiation, planning, execution/monitoring and closure or completion of data science projects.
  • Manage regular communication, updated documentation, scrum, Kanban or other lean methods to project management to all relevant stakeholders.
  • Manage consultants and other external/internal stakeholders in support of data science projects.

Administration and business process management:

  • Keep a reuseable and clearly documented process for all data science tools steps, activities, and materials.
  • Ensure all data analysis/analytics is aligned with the updated programme & infotech guidelines and data quality metrics are improved continuously.
  • Supp

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