Data Analyst

Summary

Join Boldin's growing team as a Data Analyst and play a key role in shaping our data analytics infrastructure. You will be a founding member, responsible for data collection, processing, modeling, and analysis, developing and maintaining reporting for both consumer and enterprise clients. This role requires strong SQL and Python skills, experience with various analytics tools, and excellent communication abilities. Boldin offers a fully remote work environment, unlimited PTO, comprehensive health insurance, 401k matching, and other benefits. We are seeking a dynamic individual with 3+ years of experience in data analysis to contribute to our high-growth company.

Requirements

• 3+ years of experience in a position monitoring, managing, manipulating, and drawing insights from data
• Strong SQL skills and ability to perform effective querying involving multiple tables and subqueries
• Experience with Python for data analysis
• Excellent communication skills. Presenting information will be a regular part of this role
• Bachelor's degree or equivalent experience

Responsibilities

• Design, develop, and maintain interactive dashboards and reports that provide real-time visibility into key performance metrics, enabling stakeholders to make informed choices
• Use a wide variety of tools to create reports including AWS Athena, Google Analytics, Amplitude, Hex, and Superset
• Help define performance metrics and design automated dashboards to track progress and keep the analytics team organized by maintaining a data dictionary of current and future state of analytics events
• Create visually appealing and user-friendly dashboards using tools like Tableau, Power BI, or Looker to present data insights in an easily digestible format
• Generate regular and ad-hoc reports that summarize key metrics and trends; ensure reports are accurate, timely, and tailored to the needs of various stakeholders
• Employ best practices in data visualization to effectively communicate complex information; provide recommendations on how to improve data presentation
• Work closely with product managers, marketing teams, and executives to understand their reporting needs and deliver actionable insights that support strategic initiatives
• Ensure the integrity and accuracy of data used in reporting; identify discrepancies and work with relevant teams to resolve issues
• Work with the analytics lead to develop best practices for tracking, instrumentation of data and events across the platform

Preferred Qualifications

• Experience with Google Tag Manager, Google Analytics and Amplitude (or similar tools)
• Experience in financial services ecosystem
• Interest in at least one of the following areas Data engineering tasks such as data modeling and writing spark jobs
• LLM experimentation
• Managing product analytics tools and building a company wide culture of analytics

Benefits

• Remote work environment
• Actual work/life balance (unlimited PTO)
• Great health insurance
• 401k matching
• Dental, vision, and life benefits