Associate - Strategic Data Analytics

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Skills you'll use

What you'll do

• Identify, analyze and drive resolution of complex operational and technical problems across workflows, applying structured analytical thinking to develop practical, scalable solutions with limited oversight.
• Proactively learn and adopt emerging tools, frameworks, and methodologies to improve team processes, staying ahead of regulatory and technology changes within the innovation space.
• Develop and maintain automation solutions that support inventory management, data movement, and process management using Python, Java, or JavaScript to streamline workflows and optimization across multiple compliance functions.
• Design and build data pipelines and ETL workflows using Databricks and Spark to support analytics, data enrichment, and automated processes.
• Drive cross-functional collaboration with compliance, technology, and business partners to align deliverables with regulatory requirements and operational priorities.
• Manage shifting priorities and adapt quickly to evolving regulatory, business, and technology requirements while maintaining accuracy and responsiveness.
• Communicate project status, technical findings, and recommendations clearly to managers, stakeholders, and cross-functional partners through written reports, presentations, and working sessions.
• Execute end-to-end analysis of business processes and workflows, identifying inefficiencies and control gaps, and developing actionable improvement plans.
• Take ownership of assigned deliverables and project workstreams, proactively flagging risks, incorporating feedback, and holding yourself and peers accountable for quality and timely execution.
• Required qualifications, capabilities and skills

Who can apply

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, Business, or a related field.
• 3+ years of experience in data analysis, process improvement, compliance, operations, technology, or a related discipline.
• Strong problem-solving and critical thinking skills, with demonstrated ability to break down complex, ambiguous issues and develop practical solutions independently.
• Demonstrated intellectual curiosity and a track record of self-directed learning, proactively staying current with emerging technologies and applying new knowledge to improve outcomes.
• Proficiency in Python, Java, or JavaScript with experience building automation, data solutions, or application components in a professional setting.
• Strong collaboration and interpersonal skills, with experience working effectively across teams, functions, and seniority levels.
• Demonstrated adaptability and comfort navigating a dynamic environment with changing priorities, tools, and business needs.
• Effective written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• Experience analyzing and documenting business processes and workflows, identifying improvement opportunities, and translating findings into actionable requirements.
• Experience with Databricks, Apache Spark, or similar distributed data processing frameworks for building and maintaining data pipelines.

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