Data Analyst

This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is remote and you must work EST hours.   Overview: This Data Analyst role supports a Strategy & Operations organization by delivering fast, high-impact performance analysis and executive-ready storytelling. The analyst will help leaders understand what changed week-over-week, why it changed, and what factors are influencing results in real time. This is an individual contributor position (non-supervisory), but the role is highly visible and critical to performance management and decision-making across the business. Key Responsibilities Pull, analyze, and interpret performance data across multiple systems and business functions Generate recurring and ad hoc reporting from tools such as Salesforce, Power BI, and Tableau Build and maintain dashboards and data visualizations to support business performance tracking Use SQL and cloud data platforms (e.g., Databricks, Snowflake, AWS) to extract and analyze data efficiently Identify trends and volume shifts, and proactively report on drivers and root causes Develop executive-facing presentations that clearly communicate insights, trends, and themes Partner cross-functionally with teams such as Finance, Revenue Assurance, Marketing, Product, and IT to support deep dives and business cases Support operational metrics, escalation reduction efforts, and process improvement initiatives Analyze complex policies and workflows and recommend improvements Demonstrate curiosity and leverage AI and emerging tools to improve speed, quality, and impact of analysis What You’ll Need to Be Successful 4–5 years of hands-on experience in a data analyst or performance analytics role Advanced Excel skills (daily use, high comfort level expected) Strong SQL skills (ability to modify and extend existing queries quickly) Advanced proficiency in PowerPoint and executive-level communication Experience working with dashboards and BI tools (Power BI and/or Tableau) Familiarity with modern data environments (Databricks, Snowflake, AWS) preferred Bachelor’s degree in Business, Economics, Math, Data Science, or related field preferred (or equivalent experience)