Sr Data Analyst - Generous Compensation

Job Description:
Description
Job Description:
At ***, we offer the chance to take an important role in the digital revolution of the automotive industry. Our employees are part of an energetic team that builds world-class solutions to benefit the auto buying public, dealers, and manufacturers. At ***, you ll be immersed in an environment that values your teamwork and creative problem-solving techniques.
The Sr Data Analyst is responsible for ingesting, mining, transforming, and reporting on data. The Data Analyst will work with stakeholders to provide insights into our data for new product offerings and trends in the automotive. The main responsibilities for this position are:
Information Analysis
Performs data analysis and validation.
Translates data into meaningful insights.
Mines and interprets data.
Performs root causes analysis with an ability to learn industry data and understands how to conduct ab testing.
Monitors and provides insight into key metrics, including metric performance.
Handles data preparation and analysis for various projects.
Writes, maintains, and updates SQL queries in response to questions from internal customers.
Assists development teams in creating and maintaining data reporting models.
Customer Reporting
Creates customer facing reports through our analytics tools.
Creates reports for internal customers using a separate set of tools.
Develops reports and data visualizations to present insights in the most effective way for decision making.
Coordinates data feeds and sources additional data required for analysis.
Determines the value of new internal and external data sources.
Merges disparate data sets and transforms the data to derive metrics and usable information.
Assists in the development and implementation of data monitoring and measurement systems.
Qualifications:
Experience working with SQL on Relational Databases (i.e., Snowflake and Oracle) .
Supports internal customers with one-off requests for insights.
Experience conducting quantitative and qualitative analysis.
Experience working with reporting tools (i.e., Tableau and Power Bi) .
Experience with languages for data analysis (i.e., Python and R) .
Experience working with large scale disparate datasets.
Experience presenting data to leadership for decision making.
Some knowledge of HTML preferred.
Bachelor s degree in computer science or related field, or an equivalent combination of industry related professional experience and education.
4+ years of working experience.

Job Requirements:
IF THE ATTACHED GRID IS NOT INCLUDED ON TOP OF THE RESUME IT WILL BE DECLINED AND YOU WILL LOSE THAT SUBMITTAL SLOT. The grid is intended to be screening questions that your recruiter should ask while they re speaking to the candidates. And the recruiters are supposed to be adding the notes from the call in the brief summary column. Not intended to let the candidates write up their own answers.. DO NOT COPY WHAT'S ALREADY ON THE RESUME.
This role is all about deep exploration of complex data to identify patterns, issues, etc., in addition to then understanding scope and customer impact, in addition to driving business rules for adaptation, enhancement or to resolve a problem. Visualization via Tableau or PowerBI is just in the spirit of data analysis and data quality, not reporting to business or customers. This skill is not the focus area.
We are heavily focused on work experience in:
Expert level SQL skills.
Very good Python skills, focused on data analysis, adaptation, enhancement.
Expert level in Mines and interprets data.
Expert level in Performs root causes analysis with an ability to learn industry data and understands how to conduct ab testing.
Very good at Translates data into meaningful insights and being able to present them so that others can take action or make decisions.
No H1B
90 Day Contract to Hire; Direct Hire is not an option.
Location: To be considered, candidates must be local to Austin: preferred. or Atlanta: optional. We are not accepting candidates that are not already located in those locations. Must be onsite a couple days a week.