Siemens Business Analytics and Efficiency Analyst in Newark, Delaware

Business Analytics and Efficiency Analyst

Locations:Newark, Delaware

Job Family: Information Technology

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English (US)

Job Description

Division: Siemens Healthineers

Business Unit: Services

Requisition Number: 211059

Primary Location: United States-Delaware-Newark

Assignment Category: Full-time regular

Experience Level: Mid level

Education Required Level: Bachelor's Degree

Travel Required: 40%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.

With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics and healthcare IT. All supported by a comprehensive portfolio of clinical consulting, training, and services available across the globe and tailored to customers’ needs. So that more people can have a life that is longer, richer, and more filled with happiness.

For more information, please visit: http://www.usa.siemens.com/healthineers

Job Description:

The Business Analytics and Efficiency Analyst’s role is to provide analysis, reporting and presentations for data driven decisions for the U.S. Healthcare Service Hub, reporting to the Sr. Operations Manager, and taking guidance from the Business Analytics and Efficiency Consultant. The focus of this role will include, but not be limited to, providing solutions to gain efficiency, reduce cost and increase revenue within the U.S. service organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES

· Collect/collate/report data and provide analysis support.

· Provide an in-depth level of analysis of large data sets and provide reports, presentations and recommendations for paths forward on key business decisions.

· Support strategic development and maintain predictive business models for staffing capacity, trend analysis, and cost cutting measures.

· Support lean project deliverables.

· Create KPI reports to support Service Hub business strategy.

· Assist in creation of presentations for internal and external customers

· Provide support with data mining and analytics for assigned projects and initiatives

· Provide data and analytics support for the Technical Business Leads.

DETERMINATION OF JOB SUCCESS

· Timely and accurate production of reports and analysis (ensure reports delivered on due date each month)

· Assist Technical Business Leads with reporting and analytics

· Perform analytics for the service organization for identification of key areas for business improvement.

· Support the Consultant on projects and initiatives

· Suggest and investigate a minimum of 2 projects that will provide a reduction of service operational cost by $100K fiscally.

SUPERVISORY RESPONSIBILITIES

This job has no supervisory responsibilities.

QUALIFICATIONS

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and/or EXPERIENCE

Bachelor's degree in industry related field, or equivalent experience. Advanced degree may be substituted for industry experience. Strong knowledge of Statistics required. 5+ years of experience in a technical field that incorporated data analysis.

COMPUTER SKILLS

· Advanced skill with MS Office, specifically Excel

· Working knowledge of SAS, Qlikview, Mini-Tab or other data analytics software.

· Large database management experience

· Facility with integrating multiple data sets for analysis.

· Working knowledge of SAP preferred.

OTHER SKILLS AND ABILITIES

· Proven data analytics background

· Focus is always on process improvement

· Presents self in a confident and competent manner, and is able to effectively communicate with all levels of colleagues and customers in group or in one on one setting. Strong presentation skills are a must.

LANGUAGE SKILLS

Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, and/or governmental regulations. Ability to write reports, business correspondence, procedure manuals and effectively present information and respond to questions from multiple functions (managers, clients, customers, and the general public).

MATHEMATICAL SKILLS

The ideal candidate must have the ability to work with mathematical concepts such as probability and statistical inference as well as apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

Advanced statistical knowledge required.

REASONING ABILITY

The ideal candidate must have the ability to define problems, collect data, establish facts, and draw valid conclusions. He/she must also have the ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

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Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .

Pay Transparency Non-Discrimination Provision

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .