
BI Analyst
4 semanas atrás
We are seeking a highly motivated, self-starting Data Engineer with a strong sense of ownership and an insatiable desire to learn. In this individual contributor role, you will design, build, and optimize robust data pipelines and scalable architectures that drive our business forward. If you thrive in fast-paced environments, love solving complex problems, and enjoy exploring new technologies, you'll fit right in with our team.
**Key Duties & Responsibilities**
- Identify, analyze and interpret trends or patterns in complex data sets
- Build reporting that displays actionable insights for the RM analysts and leaders, and other stakeholders and be able to communicate results of analysis across various audiences
- Provide recommendations to the business by interpreting disparate data and translating ad hoc requests to consistently deliver relevant and impactful results
- Serve as a liaison between the reporting & analytics team and the event management team to understand data needs
- Ensure quality control over data, analyses and metrics
- Identify flaws and errors in the data and any upstream data issues
**Requirements**:
- Critical thinker - the ability to determine the best way to structure data, measure and display performance metrics
- Strong written and verbal communication skills; comfortable presenting data-heavy information in clear and concise manner to all levels of the organization
- Comfortable with and adaptive to change
- Inquisitive & Analytical - search for meaning and patterns in data
- Organized & Strategic - align analysis/reporting with business needs
- Takes initiative - proactively communicates with team and identifies areas of opportunity
- Experience working in a team-oriented, collaborative environment
- 2-4 years BI experience with Tableau or similar tools
- 2-4 years BI experience with Alteryx or similar
- 2-4 years of experience using SQL and a deep understanding of relational databases
- Excel experience
- Python experience preferred, not required
**Education**:
- Bachelors degree in a quantitative field; business background preferred
**_#Li-Remote_**
**_ Available to work in the Pacific Time Zone_**
**_ Remote Work_
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