Data Analyst 1 Jobs
By Nissan Motor Corporation At Franklin, TN, United States
Responsible for data analytics projects including the requirements gathering, delivery timing, technical reports, and final presentations to stakeholders.
Candidate should have experience analyzing data for trends and insights. Experience with SQL, Tableau, Machine Learning, Python, and PySpark preferred.
Develop visualizations utilizing Tableau that track various KPIs and provide actionable information to stakeholders.
Clearly and transparently communicates the status of current projects, new possible opportunities, and roadblocks to success to departmental leadership.
Leverage data from various database platforms using SQL.
Perform statistical analysis such as control charts, regression, hypothesis testing, and reliability analysis.
Pqa Data Analyst 1 Jobs
By Nissan Motor Corporation At Smyrna, TN, United States
Develop ability to help identify emerging warranty issues that need immediate containment through the use of the Progress Management Tool (PMT).
Support specialists and analysts within PQA. Kaizen warranty processes to increase efficiency and throughput.
Prepare Monthly Quality Reports for site and regional meetings.
Be willing to learn internal plant KPIs such as STR, DPHU, and AVES. Create correlation studies between internal and external KPIs.
Help summarize cases for warranty exclusions to reduce the NNA warranty incident rate for non-valid claims.
Be able to work within warranty databases and make minor changes.
Analyst 1 Jobs
By NOVALINK SOLUTIONS LLC At Nashville, TN, United States
Compile monthly grants management report which detail outstanding grants management items for each program
Gather program data, outputs, outcomes to track performance metrics and success stories for all RD programs
Perform other job-related duties as assigned

Are you looking for an exciting opportunity to use your data analysis skills to make an impact? We are looking for a Data Analyst Level 1 to join our team and help us make informed decisions based on data. You will be responsible for analyzing data, identifying trends, and creating reports to help us make better decisions. If you are passionate about data and have the skills to turn data into actionable insights, then this is the job for you!

Overview Data Analyst Level 1 is responsible for collecting, analyzing, and interpreting data to identify trends and patterns. They use their findings to inform business decisions and strategies. They are also responsible for developing and maintaining databases, as well as creating reports and presentations. Detailed Job Description Data Analyst Level 1 is responsible for collecting, analyzing, and interpreting data from multiple sources. They use their findings to inform business decisions and strategies. They are also responsible for developing and maintaining databases, as well as creating reports and presentations. They must be able to identify trends and patterns in data, and use their findings to make recommendations. Job Skills Required
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Proficiency in Microsoft Office Suite
• Knowledge of database management systems
• Knowledge of statistical software
• Ability to work independently and as part of a team
• Ability to work with large amounts of data
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• 1-2 years of experience in data analysis
• Knowledge of database management systems
• Knowledge of statistical software
Job Knowledge
• Knowledge of data analysis techniques
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of data visualization techniques
• Knowledge of data mining techniques
Job Experience
• 1-2 years of experience in data analysis
• Experience with database management systems
• Experience with statistical software
Job Responsibilities
• Collect, analyze, and interpret data from multiple sources
• Develop and maintain databases
• Create reports and presentations
• Identify trends and patterns in data
• Make recommendations based on findings
• Monitor data accuracy and integrity
• Develop data analysis processes and procedures