Sales & Pricing Analyst

Nidec Motor Corporation•Eden Prairie, MN

About The Position

The Sales & Pricing Data Analyst drives data-informed decision-making by developing and maintaining dashboards, analyzing sales performance, and delivering actionable insights across the organization. The role collaborates with sales, marketing, finance, product, and executive teams to assess trends, forecast outcomes, and evaluate strategic initiatives. It also conducts pricing analysis to understand market positioning, optimize profitability, and support pricing strategy development through data modeling and scenario analysis. The position uses Oracle EBS, Power BI, Excel, and Salesforce, and requires the ability to communicate complex insights clearly to stakeholders. This is a Professional P1, entry-level position. Work follows standard processes under close supervision and is generally defined by others within smaller, less complex projects or assignments. The role works with internal and external customers on a regular basis and involves occasional travel.

Requirements

Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field.
Proven experience as a Data Analyst, with a focus on dashboarding and reporting.
Proficiency in Oracle EBS, Power BI, Excel, and Salesforce.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and manage multiple tasks simultaneously.
Attention to detail and commitment to data accuracy.
Ability to clearly convey complex data insights to non-technical stakeholders.
Ability to work effectively with cross-functional teams.
Proactive in identifying issues and developing solutions.
Flexible and open to change in a fast-paced environment.
Efficiently manage multiple tasks and meet deadlines.
Ability to critically analyze data and provide insights to executives and other company leaders.
Meticulousness in ensuring data accuracy and quality.

Nice To Haves

Experience with other data visualization tools and programming languages, such as SQL, VB, or Python.
Knowledge of data warehousing concepts and best practices.

Responsibilities

Develop, maintain, and enhance dashboards and reports using Oracle E-Business Suite (EBS), Power BI, Excel, and Salesforce.
Analyze booking and sales data to provide actionable insights and support strategic decision-making.
Review monthly, quarterly, and annual sales reports to identify patterns and areas for improvement.
Compare actual sales data with revenue projections and expectations.
Use historical sales data and market trends to develop forecasts and projections.
Develop reports showing expected sales and the potential effects of new strategies.
Work with marketing, sales, and management personnel to develop forecasts and examine the potential revenue effects of proposals.
Conduct quantitative analyses, including ROI, trending, opportunity and risk assessment, forecasting, regressions, correlation, cannibalization, and probability modeling.
Prepare internal reports and presentations for executives and other company leaders, including information on market performance, competitor research, and sales trends.
Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
Extract, transform, and load data from various sources to ensure accuracy and integrity.
Perform data validation and quality checks to ensure reports and dashboards are reliable.
Identify trends, patterns, and anomalies in data to support business objectives.
Create and maintain documentation for data processes, reports, and dashboards.
Analyze pricing strategies and their impact on sales performance and profitability.
Monitor price elasticity and customer responses to pricing changes across product lines and regions.
Evaluate competitive pricing and market positioning to identify opportunities for margin improvement.
Support pricing decisions with data-driven insights and scenario modeling.
Collaborate with finance and product teams to assess cost structures and recommend pricing strategies.
Develop pricing dashboards and tools to track pricing trends, discounting behavior, and promotional effectiveness.
Conduct post-implementation analysis of pricing initiatives to measure success and inform future strategies.