Senior R Shiny Developer Jobs in Orland Park, IL

Company:

The Boeing Company has an exciting opportunity for a highly skilled and motivated Senior Business Intelligence / Data Science Analyst to join the Compliance Analytics & Effectiveness team. The ideal candidate will be responsible for transforming complex data into actionable insights that drive compliance strategies.

Using advanced BI tools, SQL and statistical analysis, this role will help ensure data integrity, uncover trends, and enable informed decision-making within the Global Compliance organization and key functions across the enterprise. The team is open to both Level 4 and Level 5 Senior Level candidates for this role.

This position can be located in Chicago, IL; North Charleston, SC; Seal Beach, CA; Seattle, WA; or Tukwila, WA.

Position Responsibilities:

• Lead the design and development of complex BI models, dashboards, metrics, and reports using standard technologies and methodologies to drive business productivity and outcomes

• Use analytical skills and strategic enterprise knowledge to synthesize and provide meaningful business intelligence, and draw conclusions based on data, KRIs, metrics and trends from multiple data sources to influence business strategy and performance

• Communicate complex data insights clearly to both technical and non-technical stakeholders to aid decision-making and risk mitigation

• Apply programming and scripting skills (e.g., SQL, Python, R, VBA) for efficient data gathering, manipulation, and advanced analysis.

• Utilize advanced analytics, predictive models, and diverse data platforms to identify compliance risks, trends, and root causes, developing recommendations and mitigation plans

• Create impactful visualizations, metric reports, and narrative-based summaries tailored to stakeholders at all levels (executives, managers, peers)

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

• Bachelor's degree or higher

• 3+ years of experience in Business Intelligence/Data Analytics tools and applications (such as SQL, R, Tableau, Python, IBM Cognos Analytics, Google Analytics)

• 3+ years of experience leveraging statistical programming languages (e.g., R, Python, SAS) for advanced analytics and anomaly detection

• 3+ years of experience translating data into actionable insights and recommendations

• Experience developing and maintaining scripts

• Outstanding written and verbal communication skills, as well as excellent interpersonal and team skills

Preferred Qualifications (Desired Skills/Experience):

• 5+ years of related work experience or an equivalent combination of education and experience

• Experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models

• Experience with Teradata, SQL Server, and/or Cloud Platforms (specifically Azure, AWS, GCP)

• Experience in artificial intelligence and machine learning frameworks

• Experience with R or Python data visualization packages (i.e. Shiny, Dash, Streamlit)

• Experience with ServiceNow Reporting and Performance Analytics

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range for Senior (Level 4): $119,850-$173,650

Summary Pay Range for Senior (Level 5): $144,500-$209,300

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Contingent Upon Award Program

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