About The Position

We are seeking a highly skilled Data Analytics Specialist / Data Scientist to support the design, development, and delivery of advanced analytical data products and services. This role plays a key part in enabling data-driven decision-making by transforming complex datasets into meaningful insights, supporting strategic initiatives, and enhancing data capabilities across a large public-sector environment.

Requirements

  • Data Analytics & Data Science
  • Statistical Analysis & Predictive Modeling
  • Machine Learning (ML) & Artificial Intelligence (AI)
  • Data Modeling & Data Engineering concepts
  • Data Visualization & Dashboard Development
  • ETL Processes & Data Transformation
  • Business & Technical Analysis
  • Metadata Management & Data Governance
  • Strong experience with statistical techniques such as: Clustering (k-means, hierarchical clustering) Logistic regression Predictive modeling
  • Experience with data visualization tools and reporting platforms
  • Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)
  • Experience working with large and complex datasets
  • Ability to work in a multi-vendor and cross-functional environment
  • Strong communication, stakeholder management, and problem-solving skills
  • Ability to adapt to evolving business needs and technical requirements

Nice To Haves

  • Familiarity with cloud environments and data platforms

Responsibilities

  • Provide expert guidance and leadership on strategic data and analytics initiatives
  • Collaborate with internal and external stakeholders to gather and understand analytics requirements
  • Design, develop, and implement data models, analytical products, and dashboards
  • Perform data analysis, statistical modeling, and machine learning (ML) applications
  • Prepare and transform raw data for predictive and prescriptive analytics
  • Develop algorithms and analytical tools to generate business value
  • Ensure data quality, governance, and metadata management for analytical products
  • Conduct complex data analysis and collaborate with cross-functional teams (data engineers, analysts, business units)
  • Provide insights and recommendations to support decision-making and strategic planning
  • Create and present reports, roadmaps, frameworks, and executive briefings
  • Facilitate stakeholder discussions and align business goals with analytics solutions
  • Support continuous improvement of analytics capabilities and services
  • Mentor and coach team members, fostering a collaborative and innovative environment
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