Data Analyst II

GENERAL DESCRIPTION

Partner directly with executive and operational leadership in a data domain to answer valuable questions, quickly investigating root causes, generating and validating hypotheses, creating forecasts, and generally using data to solve problems. Position will be an explorer and first responder within the larger data team. Position work directly with business stakeholders to expand our understanding of Crane’s business.

ESSENTIAL JOB FUNCTIONS

• Engage regularly with internal partners for business reviews and health checks.


• Answer key questions for business leadership.


• Use data and statistics to validate assumptions and analytic results.


• Present findings and make actionable tools in the most appropriate form (whether as a notebook, presentation, dashboard, or application)


• Focus on speed to insight.


• Inform long-term development priorities by partnering closely with the Business Intelligence team: metrics, data quality, and reusable data sets.


• Advise embedded analysts and self-service data consumers in your domain.


• Analyze key aspects of the operational and business lifecycle to create actionable recommendations.


• Generate forecasts to drive decisions and identify anomalies.


• Other duties as assigned.

PHYSICAL REQUIREMENTS

• Job requires the ability to use vision, adjust focus and work on a standard computer screen.


• Job may require extended sitting or standing, use of standard office equipment.


• Job will require presence on-site at the assigned work location.

[The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.]

OTHER SKILLS AND ABILITIES

• Fluent SQL


• Comfortable programming in R, Python, or Julia


• Fundamentals of statistics


• Prior experience making or publishing analytical web apps (e.g. Shiny, Streamlit)


• Comfortable with common BI tools


• Comfortable using common ML approaches to solve analytical problems.

EDUCATION AND EXPERIENCE

• Bachelor's degree in management information systems, Computer Science, or related field of study

• 2+ years in data analysis roles

CERTIFICATION AND LICENSES

Professional certification may be required in some areas.

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

• Quarterly Incentive Plan


• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use


• Excellent Medical, Dental and Vision benefits


• Tuition Reimbursement for education related to your job


• Employee Referral Bonuses


• Employee Recognition and Rewards Program


• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities


• Employee Discounts


• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information:

Company benefits are contingent upon meeting eligibility requirements and plan conditions.