Data Analyst
As a member of the Data Analytics team, a Data Analyst is charged with supporting the enterprise through automated reporting, real-time analytics, and ad-hoc analysis. This service is performed using programming skills, traditional business intelligence tools, and experience with reporting, statistical analysis, and visualization. In this role, an analyst will work collaboratively with our data science and data engineering groups to execute on an enterprise analytics strategy aimed at providing fast, real-time insights on the company's customers, digital assets, and data science-enabled operational capabilities.
Responsibilities
As the successful candidate, you will be required to:
- Gather, manipulate and mine data
- Conduct analysis and reporting to generate insights into business problems.
- Write SQL queries to transform raw data into information which will enable data driven business decisions.
- Establish scalable, efficient, automated processes for large scale data analyses and reporting.
- Determine data requirements and performance metrics to support analysis.
- Participate in determination of stakeholder needs and ensure business value is realized.
- Possess ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
- Maintain a working knowledge of data analysis and reporting best practices
- Formulate and present analysis findings to stakeholders
Qualifications
- BS Degree in Mathematics, Economics, Computer Science, or Statistics
- 1-2 years of data analyst experience preferred
- Proficiency writing SQL required.
- Experience with statistical programming languages strongly preferred (e.g R, Python)
- Experience designing and implementing automated ETL processes desired.
- Basic knowledge of big data platforms (Hadoop, MapReduce, etc.) preferred.
- Experience with BI tools e.g. Tableau, Microstrategy, Alteryx, Looker preferred
- Strong communication skills
- Ability to collaborate
- Must be eligible to work in the US with or without sponsorship now or in the future