Senior Data Analyst

Summary

Join Tech Holding as a Senior Data Analyst and play a critical role in delivering actionable insights and driving strategic decisions. You will leverage advanced analytics techniques to support key business objectives, optimize processes, and uncover trends. This role involves leading data analysis projects, managing KPIs, developing data models, and creating dashboards. You will collaborate with cross-functional teams and mentor junior analysts. The ideal candidate possesses extensive experience in data analysis, particularly with financial data and business intelligence, and strong leadership skills. Tech Holding offers flexible work hours, competitive salaries, and professional development opportunities.

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

Responsibilities

• 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. Lead regular root-cause analyses to identify underlying issues and implement strategic improvements
• Develop, maintain, and optimize data models and ETL processes to support analytical needs
• Use advanced statistical analysis, predictive modeling, and machine learning techniques 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
• Participate in sprint-related meetings such as standups, grooming, retrospectives, and roadmap replenishment
• Advocate for flexible, domain-driven solutions that balance expediency with long-term flexibility
• Conduct code reviews, ensure best practices are followed, and continuously improve the data analysis processes and methodologies
• Stay updated with the latest industry trends, technologies, and best practices in data analysis and business intelligence

Preferred Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, Business Administration, or a related field
• 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