Senior Data Analyst
4 days ago
Description
• As a Senior Data Analyst, you will play a critical role in delivering actionable insights and driving strategic decisions across the organization. • Lead the design, development, and implementation of data analysis projects, ensuring the delivery of high-quality, actionable insights. • Own and manage key performance indicators (KPIs), ensuring alignment with business objectives and driving actionable insights. • Develop, maintain, and optimize data models and ETL processes to support analytical needs. • Advanced statistical analysis, predictive modeling, and machine learning techniques are used to analyze complex datasets and identify trends, patterns, and insights. • Create and maintain comprehensive dashboards, reports, and visualizations using tools like Tableau, Power BI, or Looker. • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for data solutions. • Oversee data quality and integrity, implementing best data governance and management practices. • Provide technical leadership and mentorship to junior analysts, fostering a culture of continuous learning and improvement. • Advocate for flexible, domain-driven solutions that balance expediency with long-term flexibility. • Stay updated with the latest industry trends, technologies, and best practices in data analysis and business intelligence.
Requirements
• 5+ years of proven experience in data analysis, with a strong focus on financial data and business intelligence in a professional services environment. • 3+ years of experience leading data analysis projects and teams, demonstrating strong leadership and mentoring skills. • Proficiency in SQL, Python, R, or other data analysis and scripting languages. • Extensive experience with data visualization tools such as Tableau, Power BI, or Looker. • Expertise in data modeling, data warehousing, and ETL processes. • In-depth knowledge of statistical analysis, significance testing, predictive modeling, and machine learning techniques. • Strong skills in business requirements analysis, technical design, and implementation of data-driven solutions. • Excellent business analytics skills, capable of understanding and translating business processes into data requirements. • Deep understanding of core KPIs within a tech company and the levers/tactics that impact such metrics. • Outstanding communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team environment. • Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, Business Administration, or a related field is preferred. • Experience working in agile / kanban teams, participating in sprints, continuous delivery, code reviews, and other aspects of the modern software delivery lifecycle (SDLC).
Benefits
• Flexible Work Hours • Competitive Salaries • Professional Development Opportunities
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