Data Analyst W2-local

Data Analyst (Only W2)

Location: Indianapolis, IN

Schedule: Hybrid (1 Year)

Compensation: $40.75/hr on W2 without benefits

• The Data Analyst 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 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.

• Experience analyzing data and reporting relevant results in a professional non-academic setting.
• Ability to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional setting.
• Experience using R or Python for data analysis and reporting.
• Experience using SQL to query a relational database.
• Experience using SAS for data analysis and reporting.
• Experience using Tableau for data visualization.
• Experience using Azure Portal.
• Experience using Microsoft Dev Ops.

• Serves as project lead/subject matter expert for specific data sources, as assigned.
• Reviews and provides feedback on the work products of other analysts.
• 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.
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting.
• Oversees and reviews projects completed by associate analysts, as requested by senior analyst.
• Interprets data from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies.
• Collaborates with internal and external partners to develop novel ways of using and reporting out data.
• Provides technical assistance to program areas for the creation of reports and grant deliverables.

• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

• Entry level

• Full-time

• Information Technology

• Software Development

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