Job Description

Role: Data Analyst

Location: Louisville, KY (Remote)

Type: Contract

Tech stack:

• Structured and unstructured data, DataBricks, Snowflake, SQL, ERM (entity relationship modeling), lineage, PowerBI. This will be supporting a project to identify systems of record across the enterprise. The resources will be validating the feedback from an SOR survey to confirm existence of the system and define relationships to other data repositories/systems/applications.
• Look for Healthcare Payor domain experience as well.

Description:

• The Data Analyst collects, analyzes, and stores data on data objects & interfaces, business process research, logistics, policy, data standards, and other target areas. They bring technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions.
• The Data Analyst is responsible for managing master data and/or data inventories, including creation, updates, and deletion, managing users and user roles, providing quality assurance of imported data, and working with quality assurance team if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Helping develop reports and analysis.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end users on new reports and dashboards.
• Providing technical expertise on data storage structures, data mining, and data cleansing.

Required Qualifications

• Bachelor's Degree
• years of technical experience in data analysis
• Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• Expertise in assessing complex data sets and performing root cause analysis
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or more years of experience in SQL, SAS or other data systems
• In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
• Experience with data mining and predictive modeling techniques
• Ability to use data to drive business outcomes and decisions

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