Senior Data Analyst - Contract

The role:

As a Senior Data Analyst, you will play a critical role in delivering actionable insights and driving strategic decisions across the organization. With a focus on financial data and business intelligence, you will leverage advanced analytics techniques to support key business objectives, optimize processes, and uncover trends that shape future initiatives.

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.
• 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.
• 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.

Qualifications: 

• 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).

Essential Knowledge, skills and abilities: 

• Data Analysis, Business Metrics, SQL, Tableau, Python, R, Data Modeling, ETL, Data Warehousing, A/B Testing, Statistical Analysis, Predictive Modeling, Machine Learning, Data Visualization, Business Intelligence, Agile, Kanban.

What we offer:

• Flexible Work Hours
• Competitive Salaries
• Professional Development Opportunities