Senior Business Data Analyst

Krasan Consulting Services is seeking a seasoned Senior Business Data Analyst to support a high-impact Data & Analytics Support initiative focused on enhancing outcomes in Child Protection and Child Welfare domains. The role involves leading requirements gathering, designing data models, and fostering data-driven decision-making through effective stakeholder engagement and visualization techniques.

Responsibilities:

• Lead the end-to-end requirements gathering process by engaging stakeholders across child welfare operations, D&A teams, and IT departments
• Translate non-technical business needs into detailed, technical reporting requirements, ensuring alignment with data platform capabilities
• Facilitate workshops, interviews, and collaborative sessions to capture objectives, pain points, and performance indicators from various business units
• Create comprehensive business requirement documents (BRDs), user stories, and acceptance criteria to support product and analytics development
• Design & support development of conceptual and logical data models to support diagnostic, descriptive, predictive, and prescriptive analytics use cases
• Collaborate with data engineers, data scientists, and BI developers to design, build, and validate data pipelines, dashboards, and models
• Identify opportunities for automation, optimization, and reuse of data assets across programs and initiatives
• Design and deliver engaging, visually intuitive dashboards using Microsoft Power BI, integrating narrative storytelling to enhance stakeholder understanding and actionability
• Present complex data insights to business and executive audiences, tailoring communication to varying levels of data literacy
• Foster a culture of data-driven decision-making by promoting best practices in data visualization and usage
• Support data governance practices including data quality assessments, data stewardship, and metadata documentation
• Participate in the implementation of Master Data Management (MDM) and data integrity protocols to ensure consistent and reliable data usage
• Assist in maintaining compliance with data privacy and security policies, particularly in handling sensitive child welfare data
• Act as a trusted advisor to internal and external stakeholders, including program managers, policy analysts, IT teams, and service providers
• Work closely with solution architects and developers to ensure technical feasibility and operational alignment of data solutions
• Champion continuous improvement by proactively identifying gaps, proposing innovative solutions, and monitoring product performance analytics

Requirements:

• Bachelor's or master's degree in data Analytics, Computer Science, Information Systems, Public Administration, Finance, Business Administration, or a related field
• Minimum of 5-7 years of experience as a Business Data Analyst or similar role within enterprise or government settings
• Strongly Preferred: Direct experience or comprehensive knowledge of Child Protection and Child Welfare policies, programs, and operational procedures
• Familiarity with public sector agencies, human services workflows, and legislative compliance requirements is highly desirable
• Prior work with data in highly regulated industry or complex case management settings, including healthcare, will be considered a significant asset
• The candidate must demonstrate advanced proficiency in soft skills and possess advanced-level expertise with proven hands-on experience in relevant technical domains
• Communication Excellence: Articulate complex technical and analytical concepts clearly across both technical and non-technical audiences
• Facilitation Mastery: Lead productive working sessions, brainstorming activities, and cross-functional collaboration meetings with clarity and structure
• Creative & Strategic Thinking: Frame innovative approaches to data challenges, enabling the co-creation of high-value analytics products
• Collaboration & Teamwork: Engage collaboratively with diverse teams to promote mutual understanding, shared ownership, and cohesive delivery
• Relationship Building: Develop and sustain trust-based relationships with key stakeholders and partners, demonstrating emotional intelligence and adaptability
• Narrative Storytelling: Construct coherent storylines that link analytical findings to actionable business strategies and policy improvements
• Influence & Advocacy: Effectively advocate for data-driven solutions, securing buy-in from decision-makers and overcoming organizational inertia
• Presentation Skills: Confidently deliver executive-level presentations, leveraging visual aids and data summaries to communicate impact and value
• Analytical Elicitation: Skillfully extract business intelligence needs through targeted inquiry, translating them into structured and measurable data deliverables
• Data Visualization & BI Tools: Expertise in Microsoft Power BI with ability to develop interactive, scalable dashboards and analytics reports
• SQL & Data Querying: Strong proficiency in SQL for querying, joining, and aggregating large datasets across relational databases
• Data Modeling & Management: Familiarity with data integration tools (ETL), metadata frameworks, and enterprise data management practices
• Data Architecture Concepts: Understanding of architecture such as Data Warehouses, Data Lakes, and Data Hubs, and their respective use cases
• Data Structures: Ability to work with structured, semi-structured, and unstructured data across multiple source systems
• Advanced Analytics & AI: Exposure to or understanding of machine learning, natural language processing, and graph analytics techniques
• Data Governance: Knowledge of Master Data Management (MDM), data quality frameworks, and data stewardship responsibilities
• Excel Expertise: Advanced Excel capabilities for data manipulation, validation, and supplementary visualization