Data Analyst / Data Scientist

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🕒 March 31

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Logo of HAIMS MOTORS INC.

HAIMS MOTORS INC.

1 - 10 employees

👥 B2C

🛍️ eCommerce

🛒 Retail

B2C • eCommerce • Retail

HAIMS MOTORS INC. is a family-owned and operated used car dealership based in South Florida, established in 1994. Known as the #1 used car dealer in Broward County, HAIMS MOTORS offers a wide selection of over 300 vehicles, including luxury cars, trucks, and SUVs. The dealership prides itself on exceptional customer service, having a skilled sales team dedicated to helping customers find their dream car, and strong financing options available regardless of credit history. With a commitment to providing the best deals and thorough vehicle inspections, HAIMS MOTORS aims to build lasting relationships with its customers.

📋 Description

• Ensure that data flows smoothly from source to destination so that it can be processed • Utilize strong database skills to work with large, complex data sets to extract insights • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure • Build tools for automating repetitive asks so that bandwidth can be freed for analytics • Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions • Work closely with top management to prioritize information and analytic needs

🎯 Requirements

• Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years. • Ability to program in any high level language is required. • Familiarity with R and statistical packages are preferred. • Proven problem solving and debugging skills. • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. • Work experience with real data for customer insights, business and market analysis will be advantageous. • Experience with text analytics, data mining and social media analytics. • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

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