ConsumerDirect, Inc is a SaaS company located in Irvine, CA comprised of fun and creative people building unique and patented technologies for the consumer money, credit & identity space. The company was founded in 2003 with the vision that technology should allow consumers to interact with their banks, creditors and other institutions using a simple button, and we’ve done just that.
We are looking for a talented Business Intelligence Analyst to help develop and maintain key analysis through data visualization products for internal and external stakeholders. Duties and responsibilities include providing analytical expertise to solve business problems and create intuitive/informative data visualizations to communicate insights to stakeholders.
ROLE AND RESPONSIBILITIES
Manage and coordinate all aspects of data analysis and reporting, including:
- Perform data profiling to identify/ understand factors affecting the results and anomalies
- Identify and provide guidance on business problems or management objectives that can be addressed through data analysis
- Present and defend findings of data analysis to executive leadership
- Development of intuitive, compelling data visualization reports through BI tools like Sisense, PowerBI, or Tableau
- Maintain, audit and create end-user reports through BI tools
- Provide quality end-user support and adoption training on all data tools
- Support the Senior Business Intelligence analyst in complex analysis
QUALIFICATIONS AND EDUCATION REQUIREMENTS
- Minimum of 5 years related work experience in a business intelligence or analysis role
- Minimum of 3 years’ experience developing data visualizations using tools such as Sisense, PowerBI, or Tableau
- Bachelor's Degree in Business, Business Intelligence or related field required
- Proficiency with data manipulation, including the ability to write complex SQL queries
- Strong analytical skills and exceptional attention to detail
PREFERRED SKILLS
- Business & IT strategy experience
- Experience with subscription based models
- Experience with statistical languages like Python, R, or SAS
- Experience with database systems like MySQL, Snowflake, or AWS Redshift
- Demonstrated experience with some or all of the following: data modeling, statistics, experiment design, predictive modeling
- Thrives in collaborative environment