Campus Pride Jobs

Remote Work: Hybrid

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.

You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world.

Let’s create tomorrow together.

The Data Analyst handles all phases of data analysis portions of a customer success engagement within Reflexis offerings. This position reports directly to the Manager of Customer Experience. 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 Reflexis execution and workforce management products. In addition, utilizing data analysis techniques to recommend operational and system configuration changes, detecting operational trends, and measuring ROI of the Reflexis solutions.

• Working directly with Reflexis customers to collect and analyze information in both the Reflexis 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 Reflexis Systems, Inc.’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 Company’s customer service initiatives.

Responsibilities:

• Working closely under the supervision of Manager of Customer Experience 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 IBM Cognos, Tableau, Qlik Sense, and Looker 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 Reflexis’s customers maximize ROI on use of the Reflexis’ application suite.

• Performing testing and verification of analytics created to ensure consistent accurate results.

• Training the customers to use the analytics reporting tools and application.

Qualifications:

• Minimum Education: Bachelor’s degree in a STEM field with emphasis on analytics, data Science, or business analytics.

• 2 years

• Experience and proficiency in data visualization techniques.

• Familiarity with basic statistical methods.

• Advanced skill in analytics tools, database technologies, and SQL is required.

• Prior experience with business intelligence (IBM Cognos), data visualization software

(Tableau, Qlik Sense, Looker etc.).

• Ability to develop advanced analytic data models.

• Ability to contribute to the design and development of data pipelines and data warehouses to support the analysis of large-scale data volumes.

• Exceptional attention to detail and accuracy of data is required.

• Experience using cloud data warehouses (Big Query, Snowflake, etc..).

• MS in Data Science, Business Analytics, or MBA with concentration in Analytics in lieu of 2 years of experience

Personal Protective Equipment

(PPE) Required (safety glasses,

steel-toed boots, gloves, etc.):

U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and

Physical Demands:

Never – 0%

Occasionally - 0-20 times per shift or up to 33% of the time

Frequently - 20-100 times per shift or 33-66% of the time

Constantly - Over 100 times per shift or 66-100% of the time

Physical Activities (all U.S. only jobs):

Enter in N, O, F or C as applicable

Enter in Frequency

(N)Never, (O)Occasionally,

(F)Frequently or

(C)Constantly

Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like.

N

Working from heights such as roofs, ladders, or powered lifts. N

Moving self in different positions to accomplish tasks in various environments

including awkward or tight and confined spaces. N

Remaining in a stationary position, often standing or sitting for prolonged

periods. F

Stooping, kneeling, bending, crouching, reaching, pushing/pulling. N

Moving about to accomplish tasks or moving from one worksite to another. N

Adjusting or moving objects up to __ pounds in all directions. N

Communicating with others to exchange information. C

Repeating motions that may include the wrists, hands and/or fingers. O

Operating machinery and/or power tools. N

Operating motor vehicles, industrial vehicles, or heavy equipment.N

Assessing the accuracy, neatness and thoroughness of the work assigned. C

Environmental Conditions (U.S. only):

Enter in N, O, F or C as applicable

Enter in Frequency

(N)Never, (O)Occasionally,

(F)Frequently or

(C)Constantly

Exposure to extreme temperatures (high or low). N

Outdoor elements such as precipitation and wind. N

Noisy environments. N

Other hazardous conditions such as vibration, uneven ground surfaces, or dust

& fumes. N

Small and/or enclosed spaces. N

No adverse environmental conditions expected.

Physical Demands (U.S. only):

Check only one below Check only one below

Sedentary work that primarily involves sitting/standing. Y

Light work that includes moving objects up to 20 pounds.

Medium work that includes moving objects up to 50 pounds.

Heavy work that includes moving objects up to 100 pounds or more (team lift)

Must be able to see color

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com (https://www.zebra.com/ap/en.html) email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.