(Internal Title:Business System Configuration / Development II)
Data Science and Strategic Support
Assist the Data Science Manager in achieving departmental objectives and aligning data-driven initiatives with organizational strategic goals
Lead and support data transformation projects encompassing data engineering advanced data integration and development of sophisticated reporting applications tailored to client requirements
Design and execute comprehensive strategic roadmaps for data management mobilization and governance supporting advanced analytics initiatives and data science experiments
Collaborate directly with data scientists to provide robust analytical frameworks preprocessing data and facilitating exploratory data analysis (EDA)
Provide mentorship technical guidance and strategic insights to junior analysts and team members particularly regarding statistical analysis and data science methodologies
Collaboration and Teamwork
Foster robust collaborative relationships with multidisciplinary teams ensuring clear communication and alignment on complex data-intensive projects
Champion team capability enhancement through structured training sessions knowledge-sharing workshops and continuous improvement initiatives focused on advanced analytics and data science tools
Actively engage in cross-departmental forums to advocate for advanced analytics practices data literacy and the integration of complex analytical findings into business strategies
Data Architecture and Management
Design implement and maintain highly scalable and flexible data architectures to accommodate evolving business needs operational excellence and support advanced analytical techniques
Lead the creation and ongoing management of comprehensive data dictionaries catalogs and lineage documentation to facilitate clear data understanding supporting complex analytical processes
Drive initiatives to systematically address data debt optimize data pipelines structures and ensure robust data quality management and governance standards crucial for advanced analytics reliability
Analytics and Insights
Apply advanced data modeling statistical analysis and machine learning techniques to construct and refine data structures optimized for high-performance analysis and predictive modeling
Conduct complex data analyses and support data science experiments delivering actionable insights and predictive models to inform strategic business decisions and operational efficiencies
Collaborate with stakeholders and data science teams to gather requirements translate complex data needs into coherent technical specifications and deliver actionable analytical solutions
Reporting and Analytics Enablement
Develop and oversee sophisticated reporting and advanced analytics strategies leveraging data engineering tools automated pipelines predictive analytics and modern visualization frameworks to enhance reporting efficiency accuracy and insightfulness
Establish and maintain self-service analytics ecosystems that enable stakeholders to perform complex analyses independently including predictive modeling and exploratory data analysis
Regularly review and optimize reporting and analytics frameworks to align with emerging business needs analytical advancements and technological innovations
Working Conditions:
Hybrid
Requirements
Experience:
Minimum of 4 years of experience in PMIS Application Implementation and Configuration
Education:
Bachelors degree in Computer Engineering Data Science or related discipline; Masters degree preferred
CSM ITIL V4 and certifications in tools like Microsoft SQL Server Microsoft Fabric Tableau AWS Azure or GCP
Skills and Competencies:
Power BI Tableau SQL and other visualization tools including data modeling advanced visualization techniques and dashboard/report development
ETL processes data governance frameworks data quality management and data integrity protocols
Advanced analytical tools including Excel Power Query DAX Python R and statistical software for comprehensive data analysis and predictive modeling
Microsoft Fabric Power Platform (Power Apps Power Automate Power Virtual Agents) Data Marts Synapse Analytics Azure Data Factory Azure Databricks and other Azure cloud data solutions
Proven experience in the transit transportation infrastructure or capital projects domain is advantageous demonstrating the ability to understand and apply domain-specific data analytics effectively
Exceptional problem-solving critical-thinking and analytical abilities with a strong results-oriented approach
Extensive experience with project control tools analytics frameworks and dashboarding/reporting software enabling precise performance tracking and project insights
Expertise in Microsoft Office Suite (Power BI Word Excel PowerPoint Visio) including advanced functionalities such as macros and scripting
Familiarity and proficiency with Microsoft SharePoint Primavera P6 SQL databases and Earned Value Management software
Demonstrated capability to adapt quickly to new technologies and software applications relevant to data analysis and business intelligence
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