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Form of workJob Description
Job Description:
Overview
The Data Analyst handles all phases of data analysis portions of a customer success engagement within client offerings. This position reports directly to the Manager of Data Science. The work includes:
Overview
The Data Analyst handles all phases of data analysis portions of a customer success engagement within client offerings. This position reports directly to the Manager of Data Science. The work includes:
- Determining the types of data analysis that best support the increased understanding of the customers' business goals as they relate to the operation, use, and realization of the business benefits of Client products. In addition, utilizing data analysis techniques to recommend operational and system configuration changes, detecting operational trends, and measuring ROI of the Client solutions.
- Working directly with Client customers to collect and analyze information in both the Client products and related external information in different ways and subsequently presenting and explaining results and insights to Customers' business teams.
- Performing hands-on advanced data analysis using Client's business intelligence and advanced analytics products as well as other analytics analysis, machine learning, and visualization tools. Developing software to support reusable analysis techniques and tools to routinely apply in support of the Client's initiatives.
- Working closely under the supervision of Manager of Data Science for the understanding of the Customer's analytical problem.
- Networking with internal and external stakeholders and product experts, conducting technical meetings to ensure complete coverage of problem and data gathering.
- Applying cloud data warehouse technologies for analysis of large datasets.
- Performing accurately and thoroughly data scrubbing and loading processes; ensuring data integrity and defining and developing required ELT scripts, queries, and reports.
- Developing complex SQL queries, conducting data analysis on new and existing data sources and providing recommendations to improve data quality and related efficiencies.
- Analyzing insights, implications and communicating findings (internally and externally) using visually compelling visualizations in Sisense, Looker, IBM Cognos, Tableau, PowerBI, or Qlik Sense with ability to provide clear explanations to business users.
- Developing, running and evaluating data science and predictive analytics models for detection and analysis of patterns and trends in very large datasets
- Designing, coding, implementing, and continuously improving data pipelines, predictive and prescriptive analytical models to help Client's customers maximize ROI.
- Performing testing and verification of analytics created to ensure consistent accurate results.
- Training the customers to use the analytics reporting tools and application.
