Date Posted:01/02/2024Hiring Organization:Rose InternationalPosition Number:455915Job Title:Data Analyst -Data Analytics and ReportingJob Location:Atlanta, GA, USA, 30319Employment Type:TemporaryEstimated Duration (In months):13Min Hourly Rate($):45.00Max Hourly Rate($):50.00Must Have Skills/Attributes:Analytics, Data Analysis, Data Modeling, Machine Learning, SQL, StatisticsNice To Have Skills/Attributes:Data Scientist, PowerBI, Tableau

　　*Only those lawfully authorized to work in the designated country associated with the position will be considered.Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a clients business needs and requirements.*

　　Onsite Expectations: Hybrid work, onsite 2-3 days per week in either the Atlanta, GA office or the Bothell, WA office.

　　Engineers and Analyzes data from multiple sources including datalakes, internal/external data, data warehouses, etc. Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed to explain or predict behavior, solve a variety of business problems, and build business cases. Also responsible for analyzing and engineering data and instrumentation in response to new business requests, performing maintenance and changes on interfaces, and identifying and resolving data discrepancies across multiple business applications.

　　Key Roles and Responsibilities:1. Machine Learning: business case development, data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration. Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions. Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly-developing within the digital ecommerce data space. Uses traditional modeling techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings. Advises business partners with regard to patterns and relationships in data to recommend business direction or outcomes.2. Engineering: Works directly with the client user community and business analysts to define and document data and instrumentation requirements for data integration and business intelligence applications. Determines and documents data mapping rules for movement of medium to high complexity data between applications. Adheres to and promotes the use of data administration standards. Supports data selection, extraction, and cleansing for corporate applications, including data warehouse and data marts. Creates and sustains processes, tools, and on-going support structures and processes. Extracts and analyzes data from specific applications, systems and/or databases to create reports and provide recommendations based on the analysis of the data. Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function. Creates and populates meta-data into repositories. May create data models, including robust data definitions, which may be entity- relationship-attribute models, star, or dimensional models. May also create data flow diagrams and process models and integrates models across functional areas and platforms. Works closely with DBAs to transition logical models to physical implementation. May be responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis. May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance.

　　Job Contribution:Senior level technical expertise. Deep technical knowledge and subject matter expert.Utilizes analytical tools such as Snowflake, Palantir, H2O, Databricks, SQL and Python, etc. Advanced understanding of eCommerce, web technologies, and digital data instrumentation. Advanced skills in data analysis, machine learning, time-series forecasting, SQL, Python, math and statistics.

　　Education: Preferred master degree in data science, engineering, or computer science or equivalent experience.Experience: Typically 5 - 8 years experience.

　　Benefits:For information and details on employment benefits offered with this position, please visithere{target="blank"}. Should you have any questions/concerns, please contact our HR Department via our securewebsite{target="blank"}.

　　California Pay Equity:For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' websitehere{target="_blank"}.

　　Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

　　If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise,please contact our HR Department{target="_blank"}.

　　Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).