Data Analyst 2 -Enterprise Info Management

Job Purpose or Goals

Monday-Friday|8:00AM-4:30PM| Weekly Earned Wage Access is an option for this position.

Utilize data analysis tools and techniques to facilitate optimum usage of vast volumes of data to develop strategic insights that drive business results. Strategically aligns data and data resources to ensure stakeholders at all levels have access to information.

Tasks:

• Develop and administer strategies for the control and sharing of organization data resources and services.
• Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies.
• Develop tools and libraries that will help stakeholders more efficiently interface with huge amounts of data.
• Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
• Establish links across existing data sources and find new, interesting relationships between data sources.
• Create Data Mapping documents between systems to assist Data Engineers write interfaces to extract, transform and load data from source systems into target systems.
• Work with development team, database administrators, analytics team members and business partners to translate prototypes into production.
• Provide training and guidance to User base as needed.
• Other duties as may be assigned.

Job Requirements:

• Bachelor's degree in computer science, data science, statistics or related field and 2 years of equivalent experience
• 2 years of experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• 2 years of experience with relational, SQL or other database platforms
• Broad knowledge of reporting and query tools
• Ability to demonstrate excellent people and communication skills.
• Must be highly motivated, self-initiating, and trustworthy.

Bachelor's degree in computer science, data science, statistics or related field or 4 years related experience. Must have experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Familiarity with relational, SQL and NoSQL databases Broad knowledge of reporting and query tools. 6 plus years of professional related experience1. You will develop and administer strategies for the control and sharing of organization data resources and services. 2. Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies. 3. Develop tools and libraries to help partners work with huge amounts of data. 4. You will analyze large, noisy datasets and identify meaningful patterns that provide applicable results. 5. Establish links across existing data sources and find new, interesting relationships between data sources. 6. Create Data Mapping documents between systems to assist Data Engineers write interfaces to extract data from source systems into target systems. 7. Work with development team, database administrators, analytics team members and partners to translate prototypes into production. 8. You will provide training and guidance to User base. 9. Perform other tasks as may be assigned.1. You will develop and administer strategies for the control and sharing of organization data resources and services. 2. Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies. 3. Develop tools and libraries to help partners work with huge amounts of data. 4. You will analyze large, noisy datasets and identify meaningful patterns that provide applicable results. 5. Establish links across existing data sources and find new, interesting relationships between data sources. 6. Create Data Mapping documents between systems to assist Data Engineers write interfaces to extract data from source systems into target systems. 7. Work with development team, database administrators, analytics team members and partners to translate prototypes into production. 8. You will provide training and guidance to User base. 9. Perform other tasks as may be assigned.