Data Analyst, II

Zebra Technologies; Denver (CO); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Zebra Technologies is seeking a data analytics professional to collaborate with product and customer teams on analytical problems. You will develop data pipelines, run SQL queries, and craft visualizations using Cognos, Tableau, Qlik Sense, and Looker to drive insights.

The role emphasizes building predictive models, ensuring data quality, and delivering actionable business intelligence across large datasets. Hybrid work is offered in Colorado.

Qualifications

• Bachelor’s degree required in STEM or related field.
• 2+ years of experience in data analytics / visualization.
• Proficiency in data visualization techniques.
• Familiarity with basic statistical methods.
• Advanced analytics tools, databases and SQL are required.
• Experience with IBM Cognos and data visualization tools (Tableau, Qlik Sense, Looker).
• Experience with cloud data warehouses (BigQuery, Snowflake).

Responsibilities

• Collaborate with stakeholders to understand analytical problems.
• Develop and maintain data pipelines and ELT scripts.
• Analyze large datasets and build SQL queries and reports.
• Create compelling visualizations for business users (Cognos, Tableau, Looker).
• Develop data models and predictive analytics to inform decisions.
• Train customers to use analytics reporting tools and applications.

Skills

SQL

Data visualization

Statistical methods

Analytics

Education

Bachelor’s degree in STEM or related field

Tools

IBM Cognos

Tableau

Qlik Sense

Looker

BigQuery

Snowflake

Job description

Remote Work: Hybrid

Overview

At Zebra, we are a community of innovators who create new ways of working to improve everyday life. We develop dynamic solutions that anticipate our customers' and partners' needs and solve their challenges, collaborating across diverse perspectives to deliver on our purpose.

Responsibilities

• Work closely with the Manager of Customer Experience to understand customers’ analytical problems.
• Network with internal and external stakeholders and product experts; conduct technical meetings to ensure complete coverage of the problem and data gathering.
• Apply cloud data warehouse technologies to analyze large datasets.
• Perform accurate and thorough data scrubbing and loading processes; ensure data integrity and develop required ELT scripts, queries, and reports.
• Develop complex SQL queries and conduct data analysis on new and existing data sources, providing recommendations to improve data quality and related efficiencies.
• Analyze insights and implications, and communicate findings internally and externally using visually compelling visualizations in IBM Cognos, Tableau, Qlik Sense, and Looker, with clear explanations for business users.
• Develop, run, and evaluate data science and predictive analytics models to detect and analyze patterns and trends in very large datasets.
• Design, code, implement, and continuously improve data pipelines and predictive and prescriptive analytical models to help customers maximize ROI on the Reflexis application suite.
• Perform testing and verification of analytics to ensure consistent and accurate results.
• Train 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.
• At least 2 years of 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) and 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 large-scale data analysis.
• Exceptional attention to detail and accuracy of data is required.
• Experience using cloud data warehouses (BigQuery, Snowflake, etc.).
• MS in Data Science, Business Analytics, or MBA with concentration in Analytics acceptable in lieu of 2 years of experience.