Job DescriptionAs a Senior Business Intelligence Data Analyst you will drive decision making across the Business through complex dataset analysis and developing insights to support the next-generation trading platform.
The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.
Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products. In this role you will support the wider team through guiding best practices and mentoring team members.
The salary range for this position is $100,000-$130,000 annually.
Qualifications- Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study.
- Experience with Google Cloud, BigQuery, and Looker Core, including advanced LookML. development, data modeling, and the creation of governed, self-service analytics environments.
- Advanced proficiency in Python and SQL languages is essential.
- Proven experience delivering effective solutions through quantitative research, using multiple data sources.
- Self-motivated to research and deliver change within the department.
- Demonstrated experience to in data analysis, interpretation, and presentation to guide decision making and problem solving.
- Excellent communication skills with staff throughout the operation including key stakeholders and senior management.
- Experience mentoring and guiding junior team members.
Additional Information- Collecting, processing, and analyzing large datasets using various tools and techniques.
- Developing and maintaining dashboards and other data products.
- Instilling accurate and effective reporting channels.
- Presenting research and analysis in a clear and concise manner to a variety of stakeholders and levels.
- Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.
- Guide and mentor team members on analytical methodologies and best practices.
