Senior Data Analyst

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Krasan Consulting Services ####We are seeking a Senior Data Analyst with over 10 years of experience, who also possesses strong hands-on expertise in Business Analysis As a Senior Business Data Analyst the following are required to support D&A Translation Services accurately Past knowledge and experience of Child Protection and/or Child Welfare operations, policies, and procedures is strongly preferred. Required Soft Skills Highly proficient in soft skills: Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable. Facilitation, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation. Creative thinking, for example framing new concepts that spur use case ideation for business participants and brainstorming with business users about future product and services. Teamwork, for example working with business domain teams as well as D&A teams and IT staff. Collaboration, for example fostering group problem solving and solution creation with business and technical team members. Relationship management, for example creating relationships and building trust with internal and external stakeholders quickly. Storytelling, for example by creating a consistent storyline for better understanding and raising literacy. Influencing, for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors. Presentation, for example comfort with public speaking and the ability to creatively and concisely express ideas to business and technical audiences. Requirements Gathering, for example asking the necessary questions of non-technical users and translating their needs into usable reporting user stoies. Data, Analytics, and Technical Skills Skilled understanding of the concepts, methods and techniques used: Analytics , for example - diagnostic, descriptive, predictive, and prescriptive. AI , for example graph analysis, machine learning and natural language processing. Data management , for example data integration (ETL) or metadata. Data architecture , for example the difference between data warehouse, data lake or data hub. Data structures , for example structured, semistructured and unstructured data. Data governance , for example MDM, data quality and data stewardship practices. Statistical skills , for example understanding the difference between correlation and causation. Strong expertise in Microsoft PowerBI, proficient in SQL and Excel. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Analyst and Management Industries

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