Job description

Need certified candidate with Local DC, Maryland and Virginia location only Job Description: The Client is seeking an experienced Senior Data Analytics Subject Matter Expert (SME) to conduct a comprehensive evaluation of our current data analytics ecosystem. This role is pivotal in guiding the agency’s transformation into a data-driven organization that utilizes advanced analytics, performance metrics, and forecasting tools to enhance decision-making and operational efficiency. The SME will be expected to independently assess our existing data infrastructure, tools, governance frameworks, and analytics capabilities, and then deliver actionable recommendations aligned with industry best practices and emerging technologies. Qualifications: · Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related discipline (preferred). Certifications (Any 1): · Certified Analytics Professional (CAP) · AWS Certified Data Analytics – Specialty · Google Professional Data Engineer · DAMA Certified Data Management Professional (CDMP) · Microsoft Certified: Azure Data Scientist Associate Experience Required: · Minimum 10+ years of professional experience in data analytics and data strategy. · Proven track record of delivering measurable business impact through data-driven projects. · Experience consulting or partnering with senior executives on enterprise data initiatives. · Industry experience in government or retail sectors is highly desirable. Key Responsibilities: · Evaluate current data analytics processes, methodologies, and tools. · Identify opportunities for performance optimization, forecasting accuracy, and predictive analytics enhancements. · Recommend modernized data strategies and technologies aligned with organizational goals. · Lead data governance efforts including metadata management, quality control, and regulatory compliance. · Collaborate with cross-functional stakeholders to drive analytics transformation initiatives. · Provide technical direction on architecture improvements, machine learning applications, and business intelligence frameworks. · Deliver presentations and documentation outlining key findings, strategic improvements, and implementation roadmaps. Required Skills & Competencies: Technical Expertise: · Advanced Analytics & Predictive Modelling: Machine learning, AI, clustering, and statistical analysis. · Data Warehousing & ETL: Dimensional modelling, integration, and pipeline optimization. · Cloud Platforms: AWS, Azure, or GCP experience. · Visualization & BI Tools: Proficient in Power BI, Tableau, Looker, etc. · Programming: Python, R, SQL, and scripting for data transformation and analysis. Data Governance & Strategy: · Data governance, master data management, and regulatory compliance (e.g., GDPR, HIPAA, CCPA). · Enterprise data strategy development aligning with key business objectives. · Strong knowledge of data lake/data warehouse architectures and APIs.

Requirements