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, and enhancement.
- Expert level in Mines and interprets data.
- Expert level: performs root cause analysis with the ability to learn industry data and understand how to conduct ab testing.
- She is very good at translating data into meaningful insights and being able to present them so that others can take action or make decisions.
Job Description:
The senior 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 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 cause analysis with the ability to learn industry data and understand 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 PowerBI).
- 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 is preferred.
- Bachelor’s degree in computer science or a related field, or an equivalent combination of industry-related professional experience and education.
- 10+ years of working experience.