Business Intelligence and Analytics Analyst - #1410244
Lensa
Date: 1 day ago
City: Dearborn, MI
Contract type: Full time

Lensa is the leading career site for job seekers at every stage of their career. Our client, HTC Global Services, is seeking professionals in Dearborn, MI. Apply via Lensa today!
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Skills Required
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Skills Required
- Utilizing Python(pandas, SciPi, Sciktlearn, Tensoflow and Statsmodels) and R Utilizing Visualization tools:Angular, React, Dash,PowerBI or Qliksense Capable of SQL, GCP native query for data mining Comfortable working in an environment where problems are not always well-defined Inquisitive, proactive, and interested in learning new tools and techniques Proven quantitative modeling and statistical analysis skills
- Utilizing Regression and Machine Learning Model Development for site traffic analysis Utilizing Natural Language Processing, linear and logistic regression, decision trees, gradient boosting, and feature importance models
- 2+ years experience of independent project with Python, R 2+ years experience with visualization tool development using Angular, React, Dash, PowerBI or Qliksense.
- Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges
- Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains.
- Experience with Statistical analysis: Apply mathematical and statistical methods to design proper algorithm, develop or refine analytical model that interprets data and generates meaningful insights
- Work experience in automotive industry is a big plus, as is experience in a procurement, logistics or program management function
- Undergraduate’s degree in Statistics, Data Science, Computer Science or a related quantitative discipline
- Master/PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research
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