SAS Data Analyst

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 4 Month(s)
No Travel Required

Skills

SAS Data Analyst
PROC SQL
STAT
SQL
Python
Agile
Azure DevOps
DW
HIPAA
PII
PHI
Cloud
Warehouse
Reporting
Requirements Elicitation
Management
Microsoft Azure
Project Management
Public Health
RTR
Data Warehouse
DevOps
Educate
Finance
Leadership
Macros
Microsoft
Customer Engagement
Data Analysis
Data Mining
Data Processing
Data Quality
Agile Management
Analytical Skill
Base SAS
Cloud Computing
Collaboration
SAS
Target Audience
Team Leadership

Job Details

Job ID : IN-763505

Remote/Local SAS Data Analyst (AZ-900/DP-900/12+) with PROC SQL, STAT, SQL, Python, Agile, Azure DevOps, DW, HIPAA, PII, PHI and Cloud experience

Location: Indianapolis, IN (Indiana Department of Health Finance)
Duration: 4 Months
Position: 1(1)

Skills:
Base SAS (Data Step programming) Required 2 Years
PROC SQL Required 2 Years
SAS Macro Language Required 2 Years
SAS/STAT Required 2 Years
Advanced SQL development experience Required 2 Years
Python experience for data transformation Required 2 Years
Data Warehouse familiarity (i.e. co-locating, curating, and integrating diverse data sources) Required 2 Years
Cloud environment (Azure preferred) Required 1 Years
Experience working on multi-team projects Highly desired
Experience gathering requirements through customer interaction Highly desired
Agile project management methodology experience Highly desired
Familiarity with Azure DevOps Highly desired
Government agency experience (state-level preferred) Highly desired
Public health data experience (maternal/child public health data preferred) Highly desired
Microsoft AZ-900: Azure Fundamentals Certification Highly desired
Microsoft DP-900: Azure Data Fundamentals Certification Highly desired

Description:
The Data Quality Analyst wrangles validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions; this position provides primary support for the IDOH Maternal Child Health division and My Healthy Baby project. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. This role will also complete data quality projects, as directed by team lead and IDOH leadership, and assist with creation of materials that educate other data analysts and epidemiologists about how to maintain higher data quality.
JOB DUTIES
Serves as project lead/subject matter expert for data sources related to Maternal Child Health and My Healthy Baby, and additional sources as assigned
Reviews and provides feedback on the work products of other analysts as requested
Responsible for transferring raw data to the appropriate location for use in data analysis projects
Wrangles, cleans, and validates agency data sources with minimal guidance
Conducts general analysis of agency datasets; serves as project lead, as assigned.
Contributes to complex analysis of agency datasets, as requested
Contributes to and leads data quality improvement efforts as assigned.
Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
Oversee and review projects completed by associate analysts, as requested by senior analyst
Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies
Collaborate with internal and external partners to develop novel ways of using and reporting out data.
Provide technical assistance to program areas for the creation of reports and grant deliverables
Develops compelling data visualizations to communicate findings to target audience(s)
Presents key findings and summaries of results to internal and external stakeholders
Adheres to HIPAA, PII, PHI and other state statutes concerned with protecting data confidentiality and individual privacy

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