Data Analyst I - Remote Insights & Automation

Cisco Systems, Inc.

San Jose (CA)

Remote

USD 70,000 - 110,000

Full time

5 days ago
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Benefits offered by this job

Life insurance
Vision insurance
Parental leave
Paid holidays
Sick time
401(k)

Job summary

Cisco Systems, Inc. in the United States seeks a Data Analyst I to analyze business processes, identify gaps, and derive insights from large data sets within the Supply Chain Operations team.

The role focuses on data visualization, presenting findings to influence decisions and enabling scalable data architecture. Proficiency in Python, R, and statistical analysis is expected, with familiarity in big data tools and cloud platforms.

Qualifications

  • Bachelor's degree in Data Analysis, Computer Science, Data Science, Statistics, or a related field.
  • Experience with Python, R and data visualization.
  • Strong mathematical and statistical skills.

Responsibilities

  • Analyze business processes, identify gaps and improvement opportunities.
  • Work with large data sets and derive meaningful insights.
  • Present data and insights to drive data-driven decisions.
  • Catalog data sources, dashboards, measurements, and metrics for integrated data architecture.
  • Automate complex processes into actionable solutions to optimize workflows.

Skills

Data analysis
Statistical analysis
Data visualization
Strong mathematical skills

Education

Bachelor's degree
Associate's / Apprenticeship / Boot camp / Certification
High school diploma with 2 years experience

Tools

Python
R
Big Data platforms (Hadoop, Spark)
Java
Scala
C++
AWS
Google Cloud
Microsoft Azure

Job description

Cisco Systems, Inc. in the United States seeks a Data Analyst I to analyze business processes, identify gaps, and derive insights from large data sets within the Supply Chain Operations team.

The role focuses on data visualization, presenting findings to influence decisions and enabling scalable data architecture. Proficiency in Python, R, and statistical analysis is expected, with familiarity in big data tools and cloud platforms.

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