APPLY NOW    

Associate Analytics Engineer - Schaumburg, IL or Knoxville, TN


Date:
11/1/2017 2:28:28 PM
Location:
SCHAUMBURG, IL US

The role will utilize advanced analytics methodologies to provide guidance based on findings and improve decision-making within the Engineering orgnization.  This role will have technical expertise in either RF (Radio-frequency), operations, engineering  or analytics disciplines.   This role will work closely with centralized analytics functions to accommodate adoption of scientific analytics techniques across the organization, and improve decision-making using these techniques.  This position will work on project teams to provide insights around analytics, performance, and capacity engineering.  In cooperation with the centralized analytics teams, use new technologies, policies, and procedures for business network operations, leading to eventual automation of analytics activities to ensure agility.  Leveraging Agile & DevOps techniques, present performance and capacity engineering analytics results, reports, and recommendations to performance engineers, performance managers, engineering managers, and executive management.


 

Analyze and recommend performance and capacity upgrades needed for customer-facing data systems and services.

Use the output from machine learning (supervised/unsupervised/reinforcement) techniques of network & system metrics to determine tuning recommendations to improve performance.

Assists with  Data Mining Activities within Engineering to ensure quality decision-making.

Uses pre-established techniques to deliver predictive modeling using statistical methodologies for generating engineering recommendations.

Assists to define analytics application requirements and work with tools team to integrate into existing infrastructure

Participates actively in customer-facing performance and capacity related projects

Leverages performance and capacity reporting and methodology best practices for new systems and services

Participates in customer-facing performance and capacity strategy review meetings, presentations, and training sessions.

Collaborates with the vendors’ senior technical staff/management on critical/escalated capacity issues

Works on issue identification and resolution process, including escalations to senior engineers

Uses industry best-practices to deliver performance and capacity engineering and processes

Works to maintain capacity standards, policies and procedures documentation and identify process improvement

Support identification and collection of metrics and performance reporting processes

Ensures communication of process and procedure changes to key stakeholders. All while working closely with centralized analytics and tool development teams to ensure alignment.

Maintain relationships with the customers, associates, and vendors to proactively identify needed changes.

Maintain working relationships with technical and business counterparts.

Stays abreast of industry/vendor forums to guide performance and capacity analytics activities.


THE PRECEDING JOB DESCRIPTION INDICATES THE GENERAL NATURE AND ESSENTIAL DUTIES AND RESPONSIBILITIES OF WORK PERFORMED.  IT DOES NOT CONTAIN A COMPREHENSIVE INVENTORY OF ALL DUTIES, RESPONSIBILITIES, AND QUALIFICATIONS REQUIRED TO DO THIS JOB.




Bachelor’s Degree in Computer Science, Statistical Analysis, Business Analytics, IT, Telecommunications, Engineering or equivalent experience is required.
Minimum 2 years relevant work experience required. Master’s Degree in Computer Science, Statistical Analysis, Business Analytics or related analytics based curriculum can be substituted for 2 years data experience.
Certification(s) in relevant field of expertise is preferred.
Exposure to Data Science practices leveraging Big Data, AI/Machine Learning, and Predictive Analytics. 
Understanding of the telecom business and industry preferred.
Experience re-engineering / process improvement preferred.
Strong change management skills; change agent required.
Strong project management experience running cross-functional teams preferred.
Excellent problem solving / analytical skills and knowledge of analytical tools required.
Excellent written and verbal communication skills required.
Excellent presentation skills demonstrated in front of large audiences preferred.
Experience supporting mission-critical infrastructure in a fast-paced environment preferred.
Up to 10% travel required for regional, vendor, training, and engineering meetings.

Technical Skills:
Analytics Software: R, SAS, Tableau, Python, Java.
Analytics Infrastructure: Hadoop Ecosystem, RDBMS (SQL), MPP, Graph Databases.
Statistics: Time Series Analysis, Multivariate Analysis, A/B testing, Descriptive Statistics.
Machine Learning: Supervised/Unsupervised/Reinforcement Learning methods.
Systems: Routers (Cisco, ALU, Nortel), PDSN/HA, Firewalls, Load Balancers, MMS, SMS, LSNAT, EVDO, LTE.
Tools: NetScout, Netcool, MRTG, Infovista, Wireshark, Solar Winds.
Other: IP address management/subnetting,  statistical analysis, advanced Excel and PowerPoint, Visio, and MS Project.

U.S. Cellular® is an EEO employer and gives consideration to qualified applicants without regard to race/color/age/religion/sex/sexual orientation/gender identity/national origin/disability/veteran status, pregnancy or genetic information.
APPLY NOW