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Data Analyst.
Data Analyst.Methode Electronics • Chicago, Illinois, US
Data Analyst.

Data Analyst.

Methode Electronics • Chicago, Illinois, US
30+ days ago
Job type
  • Full-time
Job description

Responsibilities:

  • Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
  • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
  • Work directly with managers and users to gather requirements and deliver actionable insights
  • Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
  • Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
  • Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
  • Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
  • Stay up to date with industry trends and best practices in data analysis and visualization
  • Other duties as assigned

Qualifications:

  • Bachelor’s degree (or equivalent experience) in mathematics, computer science, statistics, or a related field
  • Five or more years of experience as a data analyst
  • Proven analytics skills, including mining, organization, and visualization
  • Excellent problem-solving abilities, critical thinking skills, and a keen attention to detail
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong SQL skills with an in-depth understanding of relational database modeling
  • Programming experience in Python to facility the ETL process
  • Proven success in a collaborative, team-oriented environment

Candidates must be legally authorized to work in the United States without the need for employer sponsorship. Methode Electronics is not able to provide visa sponsorship—now or in the future—for this role.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands:

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. The employee must occasionally lift and/or move up to 25 pounds. Frequent hand motion and repetitive tasks including using a computer for typing. While performing the duties of this job, the employee will occasionally do immediate reaching and overhead reaching to perform various duties, frequent standing for varied amounts of time to perform various duties, frequent walking for varied amounts of time to perform various duties. Squat or bend to perform various duties. Occasionally climb stairs.

Benefits and Perks

Methode offers US employees Medical, Dental, Vision, Hearing, Life & Disability insurance, a wellness program, and time off benefits.

Voluntary benefit plans include Accident, Hospital Indemnity and Pet Insurance.

Methode provides an Employee Assistance Program, and participation in the Company’s 401(k) plan which includes a company contribution.

Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly employees will also be paid overtime pay when working qualifying overtime hours.

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Data Analyst. • Chicago, Illinois, US

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