Remote Data Analyst - Automotive Analytics & Insights

Hillyard Inc

Kansas

On-site

USD 65,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Career growth
Collaborative environment
Latest tools
Employee discounts

Job summary

SIKKY Manufacturing in the United States is seeking a Data Analyst to collect, clean, and organize large datasets, analyze trends, and create reports and visualizations for stakeholders. You will work with multiple departments to identify business needs and support data-driven decisions.

The ideal candidate has a Bachelor's in a quantitative field, 2+ years of experience, and strong SQL, Excel, and BI tool skills.

Qualifications

  • Bachelor's degree in a quantitative field is required.
  • 2+ years of experience in data analysis or a similar role.
  • Proficient in SQL and data visualization tools.
  • Strong communication and presentation skills.

Responsibilities

  • Collect, clean, and organize large datasets from multiple sources.
  • Analyze data to identify trends, patterns, and correlations.
  • Create reports and visualizations to effectively communicate findings to stakeholders.
  • Collaborate with cross-functional teams to identify business needs and provide data-driven solutions.
  • Develop and maintain data models and databases.
  • Identify areas for process improvement and make recommendations based on data analysis.
  • Monitor and track key performance indicators to measure the success of business initiatives.
  • Stay up-to-date with industry trends and best practices in data analysis.

Skills

SQL
Excel
Data analysis
Problem solving
Communication

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field

Tools

Tableau
Power BI
SQL databases

Job description

SIKKY Manufacturing in the United States is seeking a Data Analyst to collect, clean, and organize large datasets, analyze trends, and create reports and visualizations for stakeholders. You will work with multiple departments to identify business needs and support data-driven decisions.

The ideal candidate has a Bachelor's in a quantitative field, 2+ years of experience, and strong SQL, Excel, and BI tool skills.

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