The client Robotics Storage Technology Analytics (RST-A) team discovers insights in vast and varied robotic data to help engineering and leadership teams understand how technologies operate across client's network of warehouses.
We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of client Robotics technology.
We conduct relevant, insightful, and actionable analysis and communicate the results through white papers and presentations.
Our methods include design of experiments, statistical modelling, machine learning, financial analysis, and data visualization.
A successful candidate has experience solving ambiguous analytical projects and will use data to understand and improve robotic technologies used in the client fulfilment processes.
We are looking for an analytical jack-of-all-trades who is able to select the right tools to bring clarity to complex questions and help drive technology development and design decisions that shape our actions and outcomes.
Key Responsibilities:
Statistical testing of A/B and multivariate experiments
Design, build and maintain Tableau dashboards and data visualizations supporting new technology launches at client warehouses
Respond to ad hoc requests from business leaders to investigate critical aspects of client's robotic technologies
Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
Participate in strategic and tactical planning discussions
Job Qualifications:
0-5 years of experience working with large-scale complex datasets
Experienced with data visualization using Tableau to create end-to-end dashboard solutions and reports which effectively convey results to a wide range of users
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Strong working knowledge of SQL and Python
Background (academic or professional) in statistics, data science, or business analytics
Excellent communication skills, equally adept at working with engineers as well as business leaders
Story Behind the Need - Business Group & Key Projects
Group:
The Client Robotics Data Science, Business Intelligence & Data Engineering team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across client's network of warehouses.
We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.
If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.
Team Culture:
Work hard play hard mentality.
Team works in collaboration with open communication to get the job done in a healthy work environment.
Reason of request?
This is a backfill for a Contractor that was converted. In order to support KTLO for existing AR programs (Nike, Drives, existing fabric fulfillment network), RST Analytics requires a Business Intelligence Engineer Temp to support dashboard requests, data engineering pipelines, and detailed deep dive analysis of testing robotic systems.
Existing BIE FTEs are capable of doing this work, but it is not the most efficient use of their time. This work directly supports the bigger FTE analysis to inform on diagnostics of existing technologies and quantify risks to newly released features.
Typical Day in the Role
Interaction with team:
The client Robotics Data Science, Business Intelligence & Data Engineering team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across client network of warehouses.
We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of client Robotics technology.
We conduct relevant, insightful analysis and communicate the results through white papers and presentations.
Our methods include design of experiments, statistical modelling, machine learning, financial analysis, and data visualization.
Extension:
Possible based on performance and business need.
Conversion:
Possible based on performance and business need.
Compelling Story & Candidate Value Proposition
What makes this role interesting and why would a potential candidate choose to accept this position with your team versus another opportunity?
Team handles new technology testing (off of beta testing), gets hands on early in the process of hands-on of client Robots
Experience gained in data science
Candidate Requirements
Client Leadership Principle(s): Bias for Action (strong emphasis), Dive Deep (strong emphasis on this), Insist on the Highest Standards
Key Performance Indicators:
Be able to take data and know how to navigate large quantities/scales of it; being able to hand work independently and thriving on ambiguity
REQUIRED SKILLS
0-5 years of experience working with large-scale complex datasets
Experienced with data visualization using Tableau to create end-to-end dashboard solutions and reports which effectively convey results to a wide range of users
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Strong working knowledge of SQL and Python
Background (academic or professional) in statistics, data science, or business analytics
Excellent communication skills, equally adept at working with engineers as well as business leaders
Need to be able to answer high-level analytical questions (business-impactful questions)
PREFERRED SKILLS
Disqualifiers/Red Flags:
Absolutely no experience would be a disqualifier.
Top 3 must-have hard skills
Need to be able to answer high-level analytical questions (business-impactful questions)
Combined written/oral skills
TekWissen® Group is an equal opportunity employer supporting workforce diversity.