Senior Data Analyst

We are seeking a Senior Data Analyst to join our Product & Engineering Operations team. The ideal candidate is a strategic thinker who excels at transforming complex data into actionable insights that drive business growth, enhance product performance, and improve marketing effectiveness. They will collaborate with cross-functional teams, including Product, Engineering, Marketing, and Security, to build a data-driven approach that influences key business decisions. Key Responsibilities Data Analysis & Insights - Analyze complex datasets from Product, Engineering, and Marketing to uncover trends, correlations, and opportunities for growth. - Develop predictive models to anticipate product adoption, customer behavior, and operational inefficiencies. - Provide actionable insights independently to improve product features, customer satisfaction, and marketing strategies. Reporting, Visualization & Automation - Build and maintain real-time dashboards and automated reports using tools like Power BI, Excel, and JIRA. - Present findings through visually compelling reports and presentations that communicate insights effectively to stakeholders. - Automate data collection and reporting processes to minimize manual effort and enhance data accuracy. Collaboration & Communication - Partner with Product, Engineering, Marketing, and Security teams to ensure alignment of metrics and reporting. - Facilitate data-driven decision-making across teams, supporting strategic initiatives. Continuous Improvement - Work with the Operations team to identify gaps in data processes and recommend improvements to enhance efficiency and accuracy. - Mentor junior analysts and contribute to developing data analytics best practices within the team. Required Skills & Qualifications - Bachelor s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, Business Analytics, or a related field. Experience - 5+ years of experience in data analysis, preferably in Product, Engineering, or Marketing environments. - Proven experience with statistical modeling, predictive analytics, and building dashboards. Technical Skills - Advanced proficiency in Excel, Power BI, and data visualization tools. - Experience with JIRA, Salesforce, and related systems. - Strong knowledge of statistical models and techniques for analyzing data correlations and making predictions. - Proficiency in SQL, Python, or R is a plus. Analytical Skills - Ability to quickly understand domain-specific challenges and make meaningful insights. - Exceptional problem-solving skills and attention to detail. Communication Skills - Strong written and verbal communication skills for presenting complex findings to various stakeholders. Collaboration Skills - Ability to work effectively with cross-functional teams and mentor junior analysts. Leadership & Growth - Proactive mindset with a desire to drive change through data. - Ability to scale analytics practices to support broader organizational growth.