Principal Data Analyst

This is a fully remote position, open to applicants in California.

📋 Description

• Lead analytical decision-making for domain initiatives, guiding projects from their inception through to deployment.

• Identify and segment current clients based on their product needs, collaborating with business teams to implement the findings.

• Develop and sustain the analytics pipeline, from capturing product and system logs to organizing the reporting.

• Ensure that pipeline data is accessible to other departments while adhering to consent and data privacy regulations.

• Establish a foundational source of truth for a new product.

• Collaborate with product and engineering teams to define data capture methods and instrumentation.

• Clarify data across the ecosystem, including servicing engagement, data lake contents, and data that requires extraction.

• Utilize AI to enhance work efficiency, quality, and effectiveness.

• Conduct data analysis using statistical methods and summarize the results for diverse audiences.

• Present data insights to business leaders and propose actionable business solutions.

• Maintain data integrity and support data governance through validation and alignment with IT on source systems.

• Work in partnership with business analysts, data engineers, and modelers to develop business intelligence solutions.

• Establish data collection standards and disseminate best practices.

• Mentor and coach fellow data analysts.

⛳️ Requirements

• Extensive experience in analyzing data sets within a business context.

• Proven experience with data visualization tools such as Tableau and Power BI.

• Demonstrated proficiency in SAS, R, or Python, with advanced statistical knowledge applied to business decisions.

• Advanced skills in SQL or other querying languages to create data sets.

• In-depth knowledge of the business domain.

• Experience in client targeting and segmentation based on product requirements.

• Skilled in designing, building, and maintaining analytics pipelines from data capture to reporting-ready data sets.

• Familiarity with data privacy and consent regulations.

• Comprehensive understanding of the data landscape and external data sources.

• Capability to lead end-to-end analysis projects that result in transformative business recommendations.

• Leadership experience through mentoring peers and providing technical guidance.

• Excellent communication skills and presence when engaging with business leaders.

• Ability to work independently in a fast-paced environment while collaborating with product and engineering teams.

• 7 years of experience working with data sets (preferred).

• 7 years of experience using Microsoft Excel for data analysis (preferred).

• 7 years of experience using SQL to create data sets, including Hive/Data Lake (preferred).

• Familiarity with Segment, Amplitude, and Avo (nice to have).

• Experience leveraging AI tools to enhance analytical effectiveness and establish data foundations for new products.

• Experience with product and system log data as well as servicing or client engagement data.

• Bachelor's or master's degree in mathematics, applied statistics, or a related field (preferred).

🏝️ Benefits

• Eligibility for annual bonuses.

• Incentives.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401K retirement plan.

• Paid time off.

• Health and well-being support for team members and their families.

• Opportunities for career growth.

• Reasonable accommodations for qualified individuals with disabilities.