$150K — $200K *
Core Job Duties
Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.
Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.
Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. Need background in Marketing Analytics.
Designs and builds complex BI reports, scorecards and dashboards, based on specifications as requested
Harness creativity to render information useful in data storytelling
Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.
Launch and support new data models that provide intuitive analytics to internal customers
All aspects of the EDW: ETL, metadata layer, presentation layer, security/administration, user support and production support
Develop and Integrate Advance Analytics Solutions using Machine Learning Algorithms
Deploy Data/Machine Learning Microservices solutions
Build Reports/Dashboards that enable end business users to make day-to-day decisions
Lead complex reporting projects
Lead teams of engineers and be familiar with standard project management processes (scrum, Kanban, etc.) including forecasting of effort and project timelines
Identify professional growth areas for each engineer on the team and proactively provide opportunities for increasing their skill set as engineers.
Provide deep strategical technical expertise and guidance in the design/architecture/planning stage of the project. Provide guidance during the execution/implementation as necessary. Help the team manage projects using agile engineering methodologies.
Automate processes using ETL and scripting best practices
50% hand's on Data Analytics/Data Engineering
50% managing a team of engineers
Core Skills / Behaviors
6+ years of hands-on experience working with data tools within the Microsoft data platform with an demonstrated understanding of the following technologies:
Analysis Services and DAX
2+ years of experience in three or more of the following technologies:
Self-Service BI Tools: Power BI
Azure: Azure SQL Database, Azure Data Warehouse and Azure Data Factory
Azure Big Data Technologies: Azure Data Lake and Azure Databricks
3+ years of experience in scripting ETL solutions using one of the following (Python, Java, PowerShell)
2+ years of experience implementing Advanced Analytics/Machine Learning solutions
1+ years of experience using Linux through a terminal
Other Desired Qualifications
Advanced degree in quantitative discipline (e.g., Statistics, Economics, Computer Science, Applied Mathematics).
Strong analytical and reasoning skills that result in clear technical execution
Skill at translating requirements into clean, efficient and quality code.
Valid through: 3/12/2021
$150K — $200K
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