BI Engineer II

Description : *Customer is looking for a data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems.

You will work cross-functionally with Product, Launch, Support, and development teams throughout the organization to deliver projects aimed at characterizing, monitoring, and improving the performance of new robotic automation technology across all of customers network.

In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting-edge robotic technology.

You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.Key Responsibilities :

Design, build and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc.

that will support the needs of the business.

• Be hands-on with ETL to build data pipeline to support automated reporting.
• Write high-quality SQL queries to retrieve and analyze data from database tables (ex. SQL)
• Build various data visualizations to tell the story of business trends, patterns, and outliers through graphic-rich customizable plots, data maps, and other rich visualizations.
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations.

This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.

• Assists with and provides recommendations regarding tradeoffs between data granularity, calculations, and rendering of BIE products especially dashboards and other data visualizations
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets using the appropriate statistical forecasting model.
• Recognize and adopt best practices in reporting and analysis : data integrity, test design, analysis, validation, and documentation.Job Qualifications :
• BA / BS in Computer Science, Engineering, Mathematics or related experience.
• 3-6 years of relevant work experience in data engineering, data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
• 3+ years of experience in data mining and data-set preparation using SQL.
• 3+ years of experience with Power Bi, Quicksight, Tableau or other relevant data visualization software.
• Background (academic or professional) in statistics, programming, and / or engineering.
• Demonstrable ability in data modeling and ETL development
• Proven experience with SQL to retrieve and analyze large data sets from database tables (ex. Redshift, MySQL, Oracle)
• Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.*Additional Skills & Qualifications : *
• BA / BS in Computer Science, Engineering, Mathematics or related experience.
• 3-6 years of relevant work experience in data engineering, data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
• 3+ years of experience in data mining and data-set preparation using SQL.*Experience Level : *Intermediate Level About TEKsystems : We're partners in transformation.

We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.

As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.

That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.