Business Intelligence Analyst
- Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
- Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
- Assist with creating automated reporting solutions and data pipelines.
- Validate data logic, calculations, and visualizations for consistency and accuracy.
- Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
- Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
- Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
- Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.
- Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
- Present findings in a clear, concise manner to business stakeholders.
- Contribute to team best practices related to version control, visualization standards, and workflow management.
- Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.
- Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
- Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
- Proactively suggest enhancements to reports, workflows, or data structures.
- Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
- Academic or internship experience with data analysis, business analytics, or BI coursework.
- Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
- Familiarity with data modeling concepts (dimensions, facts, star schemas).
- Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
- Foundational understanding of data modeling, structured problem solving, and analytics concepts.
- Ability to communicate clearly with both technical and non‑technical users.
- Master’s degree or coursework in Business Analytics and/or major minor in Operations Management .
- Previous BI or analytics internship or entry-level work experience.
- Exposure to Manufacturing Operations
- Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
- Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
- Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).
- Analytical and critical thinking
- Strong attention to detail and data accuracy
- Ability to learn new tools and frameworks quickly
- Problem-solving mindset and ability to break down complex issues
- Professional curiosity and effective communication
- Collaborative mindset and service-oriented approach
- Comfort working with multiple stakeholders and shifting priorities
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