Data Analyst

Description We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.

Responsibilities:

• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.
• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.
• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.
• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.
• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.
• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.
• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.
• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities. Requirements
• Demonstrated experience in data analysis, data validation, and preparing reports that support technical or operational decision-making.
• Proficiency with SQL and Python for querying, transforming, and analyzing structured data.
• Hands-on expertise building dashboards and visual reports using tools such as Power BI or similar business intelligence platforms.
• Strong knowledge of data cleaning practices and methods for preserving accuracy and consistency across multiple data sources.
• Experience working with reporting dashboards, business intelligence technologies, and data warehousing concepts.
• Advanced Microsoft Excel skills for analysis, organization, and presentation of data.
• Ability to communicate findings clearly and collaborate effectively with cross-functional teams, including technical and business stakeholders.

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