Analyst I, Business Intelligence

FIS•US WI MKE 4900, WI

About The Position

You support delivery of data-driven insights that improve operational performance and decision-making. You transform raw data into structured, usable information and contribute to standardized reporting and dashboards. You partner with experienced analysts to execute analytical tasks and refine business data processes. Success is measured by data quality, reporting accuracy and your ability to communicate actionable insights.

Requirements

Foundational data analysis skills with ability to interpret datasets and identify trends
Experience with data visualization tools such as Power BI, Tableau or similar platforms
Proficiency in SQL, Excel or comparable data querying and manipulation tools
Strong attention to detail with focus on data accuracy and quality assurance
Ability to communicate insights clearly to non-technical audiences
Problem-solving skills with ability to follow structured analytical approaches
Understanding of data structures, reporting concepts and KPI development
Bachelor’s degree in analytics, information systems, business or related field, or equivalent experience

Nice To Haves

Experience with Python, R or other scripting languages for data analysis
Exposure to data warehousing or cloud-based data platforms
Familiarity with ETL processes and data transformation techniques
Understanding of business intelligence methodologies and frameworks
Experience working with large or complex datasets

Responsibilities

Extract, cleanse and transform data from multiple sources for analysis and reporting
Perform structured analysis to identify trends that support operational decisions
Develop and maintain standardized reports tracking key performance indicators
Build and update dashboards to visualize metrics for business stakeholders
Identify and resolve data inconsistencies, errors and missing information
Collaborate with senior analysts on more complex data and reporting initiatives
Translate data insights into clear, actionable recommendations for stakeholders
Create charts and visualizations to improve data interpretation and storytelling
Apply data governance and security best practices to protect sensitive information
Continuously expand knowledge of tools, technologies and analytical techniques