Data Modeler

Who We Are:

Founded in 2012, automotiveMastermind is a leading provider of predictive
analytics and marketing automation solutions for the automotive industry. We believe that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services.

At automotiveMastermind, we thrive on high energy at high speed. We’re an
organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams are passionate about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of “Drive” and “Help” have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win.

automotiveMastermind is headquartered in New York City. For more information, visit automotivemastermind.com.

A successful Data Modeler will:

• Evaluate enterprise data warehouse and analytics architecture feasibility, risk and technologies related to business change.  This includes assessing, identifying and recommending business stakeholders' data requirements, solution prototyping and development, processes and performance from business and technical standpoints; and the impact of data changes on business and/or IT processes
• Prioritize, prepare and implement analytics, BI and/or DW architectural improvements including but not limited to developing and recommending alternative technical and data management solutions and architectural improvement plans

Who You Are:

• Must be able to demonstrate a strong understanding of data modeling within data warehouse or data mart designs.
• Minimum 3 years of recent experience and demonstrable technical expertise in enterprise-class data analytics solutions (i.e. data management, data integration, information delivery, and/or advanced analytics)
• Minimum 5 years of recent experience and demonstrable expertise in solving data analytics and platform challenges
• Strong working knowledge of data warehouses and data model best practices in GCP.
• Working knowledge of the GCP architecture and suite of tools
• Architecture experience with applications incorporating innovative data analytic technologies such as Python, Spark, R, and other open source and proprietary data analytics platforms and tools
• Exceptional written and verbal communication skills, including experience estimating technical solution builds, and contributing to custom proposals, Statements of Work, advisory deliverables, and executive-level presentations
• Recent experience related to Automotive industry and data analytics architecture, technology, and design.

Compensation/Benefits Information (US Applicants Only)

• S&P Global states that the anticipated base salary range for this position is $77,400 to $160,000.  Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
• In addition to base compensation, this role is eligible for an annual incentive plan.
• This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit link https://spgbenefits.com/benefit-summaries/us

Job Type: Full-time

Pay: $77,400.00 - $160,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Health insurance
• Health savings account
• Paid time off
• Parental leave
• Referral program
• Tuition reimbursement
• Vision insurance

Experience level:

• 3 years

Schedule:

• Day shift
• Monday to Friday

Ability to commute/relocate:

• New York, NY 10041: Reliably commute or planning to relocate before starting work (Required)

Work Location: Hybrid remote in New York, NY 10041