Data Analyst

Summary

Blue Bird Corporation is a technology leader and innovator of school buses, focusing on safety and reliability. They are seeking a Data Analyst to support the IT team in developing and implementing the company's data strategy, analyzing complex datasets, and providing insights for data-driven decision making.

Responsibilities

• Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
• Completes the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
• Monitors data quality to identify data issues and propose data cleansing or enhancement solutions
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively
• Identifies KPIs and develops metrics to track and measure business performance
• Stay updated with industry trends and best practices in data analysis, visualization, and reporting
• Perform all other duties as assigned by management, within scope of practice

Skills

• Bachelor's degree in Information Management, Business Administration, Data Science, Mathematics, Computer Science or other related analytical field; or equivalent experience required
• At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession
• All candidates must be a U.S. citizen or permanent resident
• Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
• Knowledge of data visualization best practices to effectively communicate insight
• Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
• Familiarity with data modeling and data warehousing concepts
• Strong skills developing in and managing PowerBI
• Ability to communicate complex analytical topics to multiple stakeholders in a clean and simple manner to address current and future business challenges
• Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
• Ability to drive and complete projects/initiatives successfully amongst different stakeholders within the company
• Ability to manage diverse assignments while simultaneously working within a deadline driven environment
• Attention to detail and ability to maintain data accuracy and integrity
• Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
• Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel
• Ability to anticipate and understand customer needs and provide guidance
• Excellent interpersonal and customer relationship skills
• Self-motivation and ability to exercise independent judgement and take action on it
• Ability to effectively prioritize and execute tasks in a fast-paced environment
• Strong project management skills
• Exposure to difficult or complex projects a plus
• Ability to influence stakeholders
• Effective communication and ability to communicate complex details in a clear manner
• Working in a collaborative team and balancing the needs of individual stakeholders while delivering corporate objectives

Qualifications

Must Haves

• Bachelor's degree in Information Management, Business Administration, Data Science, Mathematics, Computer Science or other related analytical field; or equivalent experience required
• At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession
• All candidates must be a U.S. citizen or permanent resident
• Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
• Knowledge of data visualization best practices to effectively communicate insight
• Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
• Familiarity with data modeling and data warehousing concepts
• Strong skills developing in and managing PowerBI
• Ability to communicate complex analytical topics to multiple stakeholders in a clean and simple manner to address current and future business challenges
• Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
• Ability to drive and complete projects/initiatives successfully amongst different stakeholders within the company
• Ability to manage diverse assignments while simultaneously working within a deadline driven environment
• Attention to detail and ability to maintain data accuracy and integrity
• Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
• Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel

Nice to Haves

• Ability to anticipate and understand customer needs and provide guidance
• Excellent interpersonal and customer relationship skills
• Self-motivation and ability to exercise independent judgement and take action on it
• Ability to effectively prioritize and execute tasks in a fast-paced environment
• Strong project management skills
• Exposure to difficult or complex projects a plus
• Ability to influence stakeholders
• Effective communication and ability to communicate complex details in a clear manner
• Working in a collaborative team and balancing the needs of individual stakeholders while delivering corporate objectives

Benefits

• Continued Professional Development