Data Analyst

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Role: Data Analyst

Location: New York, NY ( Hybrid - Need to travel 2 Days to office)

What you will do:

Rigorous identification, analysis, and interpretation of trends or patterns in complex data sets

Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems
Design and develop management reports and supporting ad hoc analyses answering key questions such as…

a) Is the product performance aligned with the sales pitch?

b) Are key product components delivering value?

c) Is marketing outreach effective?

d) Are results consistent across clients?

Identify key value drivers and key opportunities for/sources of error across products and processes
Create client-facing visualizations to clearly articulate the aM value proposition and identify business opportunities for internal and external stakeholders
Develop short-term preventive or detective measures, and lead medium/long-term product improvement initiatives arrived at via close collaboration with data transformation, engineering, QA, and production support team members
Support and inform account leads with respect to client and regional sales mix, performance, and AM contributions
Identify and access additional data assets that could be leveraged to answer a given business problem
Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions

Qualifications

Bachelor’s degree in mathematics, engineering, economics, statistics, computer science, information management, or related quantitative field
Minimum 3 years professional experience as a data analyst or in a similar analytical + technical role
Technical experience with data models, database design, data mining, and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects), databases (SQL), programming (XML, JavaScript, or ETL frameworks)
Demonstrated application of statistics and experience using statistical packages for analyzing large datasets (Excel, R, SPSS, SAS)
Experience with visualization software packages (Data Studio, Tableau, Power BI)
Strong analytical and problem-solving skills
Ability to think quickly on your feet and handle ambiguity
Excellent written and verbal communication skills
Ability to execute against multiple projects as part of a team or independently, while managing competing deadlines
Automotive experience is a plus

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