Job Description

Title: Data Analyst

Location: Louisville, KY (Remote)

Type: Contract

Note about this requirement from the Client:

• Ability to self-direct via curiosity - [programming, analysis, diagnostics,etc] (Change agent)
• SQL Experience (Multiple years - TSQL, SparkSQL, MYSQL, and/or PLSQL) (plus if they also have python experience)
• Power BI Experience - DAX programming is a must, Data Modeling is a must (Star Schema), visualization exp - PA, BPA tabluar...
• Administration/Security Knowledge experience - Service Account, AZ group management, PBI Gateways, PBI Workspace setup
• Optimization experience - Querying within SQL/NoSQL settings (Server & serverless)

Day to Day job Duties:

• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Helping develops 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.

Basic Qualifications:

• 3+ years of technical experience in data analysis
• 7+ year of comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• 3+ years of experience in assessing complex data sets and performing root cause analysis; need to be an expert
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Nice to Have:

• 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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