Data Analyst

Propertyvalue Strategic Technology Institute Inc
Indianapolis, IN, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Word Microsoft Excel Data Analysis Data Cleansing Data Mining Python (Programming Language) Microsoft PowerPoint Raw Data SAS (Software) Simple Data Format SQL Databases

Job description

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. 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., 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 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

Requirements

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.

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