Sr. Data Analyst in San Jose, CA at APEX Systems

Date Posted: 11/7/2018

Job Snapshot

Job Description

Job #:  912028

Position: Senior Data Analyst

Client: large government entity

Location: San Jose, CA

Contract Length: 3 months (strict end date of 3/14/18)

Description:

The Senior Data Analyst classification is distinguished from the Data Analyst classification in that the Senior Data Analyst applies a broad knowledge of principles, practices, and procedures to complete highly complex assignments, where the requirements and outcomes are unfamiliar or unknown. The Senior Data Analyst works on multiple data and analytics projects and program execution; defines the requirements for analysis within multiple business area or enterprise-wide; and works as a team member, a technical project lead, or a data analyst advisor.

Typical Tasks

1. Works with Senior Leadership to determine data analytic organizational goals;

2. Works with Data Scientists to identify and reveal trends, patterns, and relationships in data to provide guidance for Senior Leadership decision making processes;

3. Provides expertise in determining the right type of analytics or statistics to apply to data sets collected and utilized by the customer;

4. Provides input on data governance policy creation;

5. Collaborates with data governance board members to receive and understand policy directives;

6. Develops standards and best practice procedures for data validation, analysis and presentation;

7. Creates and implements techniques for data collection, accuracy and management;

8. Provides data analysis coaching to team members;

9. Maintains up-to-date knowledge of regulatory requirements and industry best practices as it relates to data stewardship;

10. Trains users on data structure and meaning within analytics platforms to enable selfservice reporting;

11. Triages data-related issues around quality and analytical production;

12. Pinpoints trends, correlations and patterns in complicated data sets;

13. Documents and maintains all data management procedures and specifications;

14. Provides guidance to data stewards in the range of stewardship activities and best practices;

15. Identifies opportunities to increase data quality, including automation and data entry procedural training;

16. Catalogs existing data sources;

17. Monitors and provides status reports on data lifecycle and analytical workflow processes;

18. Queries and profiles data to determine conformance to standards and fit for purpose;

19. Classifies and organizes data for ease of use and access control purposes;

20. Works with open datasets, including populating and extracting data from internal and public open datasets;

21. Creates data visualizations and reports using presentation layer tools;

22. Extracts and manages multiple sets of data from various databases and sources, bringing together data from several channels for comparative analysis;

23. Mines and analyzes data using standard statistical tools and techniques;

24. Reviews and validates data for accuracy; performs data cleansing as needed;

25. Documents and maintains record of all data management activities;

26. May be assigned as a Disaster Service Worker, as required;

27. Performs other related duties, as required.

Employment Standards

Sufficient education, training, and experience to demonstrate the possession and direct application of the following knowledge and abilities:

Training and Experience Note:

Bachelor’s degree from an accredited college in Computer Science, Information Technology, Mathematics, Statistics or Engineering,

And

Six (6) years of work experience directly related to data analysis or statistical analysis. Three (3) years of this experience must be at a level comparable to the client’s Data Analyst classification.

OR

Bachelor’s Degree from an accredited college,

And

Eight (8) years of work experience directly related to data analysis or statistical. Three (3) years of this experience must be at a level comparable to the client’s Data Analyst classification.

Special Requirements

• Possession of a valid California Driver’s License prior to appointment and the ability to qualify for and maintain a client driver authorization.

• Depending on the position, other related certifications may be required or desirable.

Knowledge of:

1. Advanced analytics and statistical models to identify trends, patterns and relationships;

2. Techniques for data collection and management;

3. Principles of leadership and team coaching;

4. Government programs regulations, requirements and best practices;

5. Data stewardship regulatory requirements and industry best practices;

6. Trends, correlations and patterns in data sets;

7. Methods to increase data quality;

8. Spreadsheets and databases, such as MS Access;

9. Relational databases, NoSQL databases, data extraction, querying, and scripting;

10. Scripting and coding to automate and monitor data management processes;

11. Data visualizations and reporting tools to present information to a variety of audiences using presentation layer tools;

12. Extracting and managing multiple sets of data from various databases and sources, bringing together data from several channels for comparative analysis;

13. Initial data exploration steps (binning, pivoting, summarizing and finding correlations, for example);

14. Standard statistical tools and techniques.

For positions assigned to the healthcare vertical, the following knowledge is required:

• Specific data handling requirements for patient identifiable information and protected health information.

• Healthcare data standards, taxonomies and reference data coding systems (i.e. ICD 10, CPT, SNOMED-CT, etc.)

• EPIC Certification in appropriate functional area, or ability to become certified within 6 months

For positions assigned to the healthcare vertical, the following knowledge is desirable:

• Healthcare integration technologies and techniques (HL7 v2 or higher, EDI, etc.)

• EPIC data warehousing and reporting environments (Caboodle, Clarity, Business Objects, etc.)

Ability to:

1. Work collaboratively with all levels of management, customers and staff;

2. Provide effective leadership for team members;

3. Triage code problems;

4. Implement statistical modes to identify trends, correlations and patterns in data sets;

5. Increase data quality;

6. Catalog data sources;

7. Maintain, design and create relational databases and data systems;

8. Design reporting dashboards;

9. Use presentations tools;

10. Manage multiple sets of data;

11. Mines and analyze data;

12. Perform data cleansing;

13. Document and maintain records.

 

 

 

 

 

 

 

 

EEO Employer

Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178