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Senior Business Intelligence Data Engineer

Tempe, AZ, US

Requisition Number: 74794 

Key Responsibilities Include

  • Conduct exploratory data analysis, mine data (e.g., clustering), and prepare modeling datasets from multiple data sources.
  • Conduct in-depth analyses of multivariate data using parametric and non-parametric statistical techniques, cluster analysis, PCA, and time series analysis to explore and understand the underlining mechanisms behind observed patterns.
  • Build, validate, and implement predictive models using machine learning algorithms (e.g., neural networks, SVM, Naive Bayes classifier), as well as traditional statistical modeling techniques (e.g., linear and logistic regression).
  • Present model results and analytic findings; provide actionable recommendations to business partners to support data-driven decision-making.
  • Respond to ad-hoc requests from business partners to conduct data analysis to identify/quantify opportunities or address specific business questions.
  • Utilize emerging analytical and programming techniques to explore internal and external unstructured and semi-structured data; recommend how these additional data sources can be used to enhance existing data and provide additional insight.
  • Work with complex databases, conduct in-depth research to identify data issues, propose solutions to improve data integrity; perform other database-related analyses and projects as requested.

Required Qualifications

  • 6+ years of experience in one or a combination of the following reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following reporting, analytics, or modeling
  • 4 + years of experience using quantitative machine learning techniques
  • 4+ years of Python experience
  • 4+ years of SQL experience

Desired Qualifications

  • Extensive knowledge and understanding of research and analysis
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to develop partnerships and collaborate with other business and functional areas

Other Desired Qualifications

  • 2+ years of experience working with big data infrastructure and tools (e.g., Hadoop, Spark, Java, MapReduce).
  • Advanced degree in quantitative discipline (e.g., Statistics, Economics, Computer Science, Applied Mathematics).
  • Strong programming skills using advanced statistical tools like R, Python, SAS, and MATLAB with ability to manipulate data for analytical purposes, conduct statistical data analysis, and build predictive models.
  • Advanced knowledge of statistical techniques (e.g., probability, multivariate data analysis, regression, PCA, time-series analysis).
  • Solid understanding of and experience with machine learning techniques, such as decision trees, random forests, neural networks, SVM, ensemble learning, etc.
  • Strong acumen diagnosing and resolving data issues to ensure accuracy and completeness.
  • Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills. Ability to relate complex analysis and insights to effective business strategy.

Proven ability to drive each project to completion with minimal guidance while effectively managing multiple projects at a time.

The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here.

Today, every business is a technology business. Insight Enterprises, Inc. empowers organizations of all sizes with Insight Intelligent Technology Solutions™ and services to maximize the business value of IT. As a Fortune 500-ranked global provider of digital innovation, cloud/data center transformation, connected workforce, and supply chain optimization solutions and services, we help clients successfully manage their IT today while transforming for tomorrow. From IT strategy and design to implementation and management, our 6,800 employees help clients innovate and optimize their operations to run smarter. Discover more at insight.com.

 

  • Founded in 1988 in Tempe, Arizona
  • 7,400+ teammates in 19 countries providing Intelligent Technology Solutions for organizations across the globe
  • $7.1 billion in revenue in 2018
  • Ranked #417 on the 2018 Fortune 500, #12 on the 2018 CRN Solution Provider 500
  • 2018 Dell EMC Server Partner of the Year, 2018 Intel Retail Solution Partner of the Year, 2018 Microsoft Worldwide Artificial Intelligence Partner of the Year
  • Ranked #23 on the 2019 Fortune 50 Best Workplaces in Technology and #5 on the Phoenix Business Journal 2018 list of Best Places to Work (Extra Large Business)
  • Signatory of the United Nations (UN) Global Compact and Affiliate Member of the Responsible Business Alliance

 

 

Today's talent leads tomorrow's success. Learn about careers at Insight: jobs.insight.com.

 

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

 

 

Posting Notes: Tempe || Arizona (US-AZ) || United States (US) || None || None || US - Tempe, AZ ||


Nearest Major Market: Phoenix

Job Segment: Database, Business Intelligence, Engineer, Developer, Computer Science, Technology, Engineering

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