Technical Business Analyst, Anaplan

• We seek a highly motivated Technical Business Analyst for our Data Engineering & Analytics team
• Bachelor's in Business Administration, Information Technology, or a similar field
• 5+ years of project management experience with a track record of delivering successful data engineering and analytics projects
• Experience analyzing business processes and implementing data-driven solutions for process improvement and data quality
• Strong analytical and problem-solving skills with a focus on data analysis
• Excellent communication, collaboration, and leadership skills
• Proficiency in project management and data analysis tools

Desirable

• You'll leverage data analysis, project leadership, and a quality focus to drive efficiency and innovation
• Lead data pipeline & analytics development, implement data-driven process improvements, ensure data & system quality, and manage projects from start to finish – all while guaranteeing timely delivery and excellent results
• Process Optimization & Data Quality: Analyze workflows, and identify areas for improvement in efficiency and data quality. Design and implement data-driven solutions to enhance both. Develop & document standardized processes for data management, quality assurance, and future reference
• Project Management: Lead planning, execution, and monitoring of projects, upgrades, and initiatives. Craft realistic project plans, timelines, and budgets. Facilitate collaboration across teams, keep projects on track, and manage risks
• System Quality Assurance: Partner with developers to ensure upgrades meet quality standards and minimize disruptions. Collaborate on system enhancements prioritizing data integrity and performance. Conduct post-upgrade assessments to evaluate functionality and data quality
• Business Analysis & Stakeholder Engagement: Gather, analyze, and translate business needs into actionable plans and data-driven solutions focused on data quality and system health. Communicate project status, risks, and roadblocks to stakeholders. Facilitate workshops to ensure stakeholder alignment with project goals and data quality expectations