Associate Business Systems Analyst, Tax & Accountingt
Wolters Kluwer · Riverwoods, IL · 1 wk ago
HybridInformation Technology$63k–$107k/yrFull-time
Responsibilities
- Assist in analyzing business processes, system workflows, and existing applications to identify gaps, dependencies, and improvement opportunities.
- Prepare clear, well-structured documentation—including diagrams, workflow charts, and written summaries—suitable for both technical and non-technical audiences.
- Support senior architects in evaluating legacy systems, integration points, and modernization requirements.
- Conduct research on technologies, frameworks, and industry trends as directed by senior team members.
- Produce structured reports summarizing findings, recommendations, and potential applicability to business needs.
- Participate in the exploration of Agentic AI concepts and related solution patterns.
- Develop scripts, utilities, and prototypes to automate tasks, validate concepts, or support engineering initiatives.
- Aid in the creation of data processing routines for ingestion, transformation, and integration with internal systems.
- Contribute to the development of automated testing, monitoring, and alerting components.
- Support the development and integration of AI-driven features, including OCR, generative AI, and internal agentic AI frameworks.
- Apply prompt engineering and AI-assisted techniques to enhance product functionality and internal workflows.
- Work closely with software engineers to ensure clarity of requirements, workflows, and technical specifications.
- Assist in functional testing, validation, and verification of software components.
- Provide supplemental documentation and clarification to support development and QA activities.
Qualifications and Skills
- Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline.
- Technical Competencies: Proficiency in Python, JavaScript, C#/.NET Core/.NET Framework, RESTful APIs, and Visual Studio. Familiarity with SQL Server, Git, CI/CD pipelines, and Agile methodologies.
- AI and Data Skills: Foundational understanding of AI technologies, including prompt engineering and generative AI integration. Ability to write scripts or code for data ingestion, transformation, and system integration.
- Professional Skills: Strong written and verbal communication skills, with the ability to translate complex concepts into clear, concise documentation. Demonstrated analytical thinking, attention to detail, and willingness to learn from senior team members. Ability to work collaboratively in a team-oriented environment and manage multiple tasks with guidance.