Industrial Data Analytics & Strategy Analyst

744 Crane ChemPharma & Energy Corp

United States

On-site

USD 85,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Tuition reimbursement
Paid time off

Job summary

Crane Company is seeking a Business Analyst to support strategic planning, operational planning, and forecasts for the CRANE ChemPharma & Energy unit, including market mapping, competitive assessments and profitability trends. You will translate data into actionable insights for senior management.

The role requires a technical degree (Mechanical or Chemical Engineering) and strong skills in Power BI, Tableau, SQL, Python or R, plus advanced Excel.

Qualifications

  • Bachelor’s degree in Mechanical or Chemical Engineering in a relevant field.
  • MBA or MS in Business Analysis, Data Science, or equivalent preferred.
  • English writing and presentation skills required to report to senior management.

Responsibilities

  • Analyze product line data for KPIs: orders, sales, pricing, profitability.
  • Create visualizations and reports to convey insights to leadership.
  • Support strategic and operational planning, forecasting, and pricing strategies.
  • Contribute to market trends and competitive analyses for growth opportunities.
  • Collaborate with cross-functional teams and maintain data integrity.

Skills

Analytical thinking
Data visualization
English communication
Presentation skills

Education

Bachelor’s degree in Mechanical or Chemical Engineering
MBA/ MS in Business Analysis / Data Science preferred

Tools

PowerBI
Tableau
SQL
R
Python
Excel
PowerPoint
Outlook

Job description

Crane Company is seeking a Business Analyst to support strategic planning, operational planning, and forecasts for the CRANE ChemPharma & Energy unit, including market mapping, competitive assessments and profitability trends. You will translate data into actionable insights for senior management.

The role requires a technical degree (Mechanical or Chemical Engineering) and strong skills in Power BI, Tableau, SQL, Python or R, plus advanced Excel.

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