Senior Data Analyst

About the Role:

The Advanced Data Analyst will play a pivotal role in extracting actionable insights from large and complex data sources. You will partner with cross-functional teams, including business leaders, engineers, and product managers, to translate organizational goals into data-driven strategies. Your expertise in statistical modeling, machine learning, and visualization will enable our company to make informed decisions and maintain a competitive edge.

Responsibilities:

• Data Exploration and Analysis:
  Acquire, clean, and analyze complex datasets from a variety of sources using advanced statistical techniques. Identify trends, patterns, and anomalies that inform strategic business decisions.
• Model Development:
  Build, evaluate, and deploy predictive and prescriptive models using machine learning algorithms. Continuously refine models based on new data and feedback from stakeholders.
• Business Intelligence & Reporting:
  Design and create dashboards, visualizations, and automated reports to communicate findings clearly and effectively to technical and non-technical audiences.
• Stakeholder Collaboration:
  Work closely with business leaders, IT professionals, and product teams to understand requirements, deliver insights, and provide data-driven recommendations.
• Process Improvement:
  Evaluate existing data processes and recommend enhancements to improve data quality, accessibility, and analysis efficiency.
• Data Governance:
  Ensure data integrity, privacy, and compliance with relevant regulations and company policies.
• Continuous Learning:
  Stay abreast of emerging trends in analytics, machine learning, and data visualization. Mentor junior analysts and contribute to knowledge-sharing initiatives.

Qualifications:

• Education:
  Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Or Professional certification in data analytics, data science, or related areas (e.g., Certified Analytics Professional, Microsoft Certified Data Analyst Associate).
• Experience:
  Minimum of 5 years of hands-on experience in data analysis, business intelligence, or data science roles.
• Advanced proficiency in SQL and relational databases.
• Expert-level skills in statistical programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Knowledge of data warehousing concepts and ETL processes.
• Background in A/B testing, experiment design, and causal inference.
• Experience leveraging APIs and integrating external data sources.
• Exposure to natural language processing and text analytics.

Required Skills:

• Analytical Abilities:
  Demonstrated ability to apply advanced statistical and analytical methods to solve complex business problems.
• Communication:
  Excellent written and verbal communication skills, with the ability to present complex information clearly to varied audiences.
• Problem-Solving:
  Creative thinker with a passion for tackling ambiguous business challenges and generating actionable insights.
• Project Management:
  Strong organizational skills and experience managing multiple projects simultaneously.
• Adaptability:
  Comfortable working in fast-paced environments and adapting to changing business needs.
• Ethics and Integrity:
  Commitment to data privacy, ethical analytics, and responsible use of information.

Curb is proud to be an equal opportunity employer.