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Scientific Data Analyst Ii Jobs in Missouri

Research Data Analyst Ii
By California Department of Justice At California, United States
Collaborate with management and research specialists to develop data collection methods,
Experience with statistical packages, such as SPSS or SAS.
Experience with independent research or being part of a research team.
**Benefits of working for the State of California**
Determine data sources and availability. Collect or extract data using a variety of established methods
Data Analyst Ii Jobs
By Pinnacle Group, Inc. At Texas, United States
Must have 3 + years of experience on SQL, Python and Tableau
They will highlight challenges in Client current HR products and use data and insights to improve the products and user experience.
Document requirements with stakeholders, and partner with People Insights and People Analytics on broader changes to core dashboards and solutions
BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, math, engineering, or statistics), or equivalent work experience
3 plus years experience with SQL (or similar language aimed at querying relational databases)
3 plus years of experience working with data visualization tools (Tableau strongly preferred)

Are you looking for an exciting opportunity to use your data analysis skills to make a real impact? We are looking for a Scientific Data Analyst II to join our team and help us uncover insights from our data. You will be responsible for analyzing large datasets, developing data models, and creating reports to help us make informed decisions. If you are passionate about data and have a knack for problem-solving, this could be the perfect job for you!

Overview Scientific Data Analyst II is a professional who is responsible for analyzing and interpreting scientific data to identify trends and patterns. They use their expertise to develop and implement data-driven solutions to support research and development initiatives. They are also responsible for developing and maintaining databases, as well as creating reports and presentations to communicate their findings. Detailed Job Description Scientific Data Analyst II is responsible for collecting, analyzing, and interpreting scientific data from various sources. They use their expertise to develop and implement data-driven solutions to support research and development initiatives. They are also responsible for developing and maintaining databases, as well as creating reports and presentations to communicate their findings. They must be able to identify trends and patterns in the data, and use their knowledge to develop strategies and solutions. Job Skills Required
• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Ability to manage multiple tasks and prioritize effectively
• Proficiency in Microsoft Office Suite
• Knowledge of statistical software packages
Job Qualifications
• Bachelor’s degree in a related field
• At least two years of experience in data analysis
• Knowledge of scientific principles and theories
• Ability to interpret and analyze complex data sets
• Ability to work with large datasets
• Ability to develop and maintain databases
Job Knowledge
• Knowledge of scientific principles and theories
• Knowledge of data analysis techniques and tools
• Knowledge of statistical software packages
• Knowledge of database management systems
Job Experience
• At least two years of experience in data analysis
• Experience in developing and maintaining databases
• Experience in creating reports and presentations
• Experience in interpreting and analyzing complex data sets
Job Responsibilities
• Collect, analyze, and interpret scientific data from various sources
• Develop and implement data-driven solutions to support research and development initiatives
• Develop and maintain databases
• Create reports and presentations to communicate findings
• Identify trends and patterns in the data
• Develop strategies and solutions based on data analysis
• Monitor and evaluate data analysis results