Business Intelligence Analyst

Mitsubishi Electric US•Vernon Hills, IL

About The Position

Working under the direct supervision of the Business Intelligence Manager, the Business Intelligence Analyst creates and maintains dashboards and reports in Tableau and Excel, performs advanced data analysis and trend identification, and derives insights to support business needs and lead-generation activity. The role supports business development, sales performance measurement, sales incentive compensation, and strategic planning through analytics, forecasting, and data modeling. The analyst uses internal and external data sources to identify and validate potential leads aligned with ideal customer profiles and buyer personas, providing Business Development Representatives with prospect data. The position also examines organizational operations through research, stakeholder interviews, and quantitative data collection, then uses data modeling to identify opportunities to improve effectiveness. Travel within the Americas may be required, up to 10% based on customer demand.

Requirements

Bachelor's degree in Data Science, Statistics, Economics, or equivalent experience in one of these fields.
Strong Microsoft Office skills, including Excel and PowerPoint.
Knowledge of analytics tools such as Tableau.
Three years of experience with data manipulation.
Experience with AI analytics tools.
Comfort navigating ambiguous data environments, including coordinating with internal stakeholders, clarifying data requests, retrieving data, and data mining.
Ability to leverage data to develop insights and distill them into succinct communications.

Responsibilities

Design, develop, and maintain business intelligence dashboards, reports, and visualizations using Tableau, Analytics Studio, or similar platforms.
Use internal and external data sources to identify and validate potential leads aligned with ideal customer profiles and buyer personas, and provide prospect data to Business Development Representatives.
Partner with Sales, Finance, and business stakeholders on sales incentive compensation calculations, performance measurement, and annual sales goal planning.
Develop AI- and machine-learning-driven forecasting models to support strategic planning and business performance improvement.
Analyze prospecting activities, campaign performance, customer engagement data, and sales funnel metrics to identify opportunities for pipeline growth.
Stay informed about trends, technologies, and best practices in analytics, business intelligence, artificial intelligence, and data management.
Gather and analyze data to help management evaluate business growth opportunities and the performance of existing initiatives.
Research current organizational operations, including interviewing team members and collecting quantitative data.
Use data modeling techniques to identify ways for the organization to operate more effectively.
Derive insights from ambiguous data environments and communicate succinct insights consistent with broader communications.