Senior Data Analyst

Responsibilities:

• Analyze large and complex data sets using analytical tools and methods to identify trends, patterns, and opportunities that support business decisions.
• Collaborate with consultants to design and implement data-driven strategies that improve business performance and customer satisfaction.
• Develop data models, dashboards, and reports that provide meaningful insights to stakeholders across all levels of the organization.
• Manage and maintain data integrity by designing and implementing data quality controls and validation methods.
• Identify and implement process improvements that increase efficiency and accuracy of data analysis.
• Stay up-to-date with market trends and best practices in data analysis, visualization, and modeling.
• Communicate data insights and recommendations in clear and concise terms to both technical and non-technical audiences.

Requirements:

• Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Information Systems, or related field.
• 5 years of experience as a data analyst or similar role in a consulting or professional services firm.
• Advanced proficiency in data analysis tools such as SQL, Python, Tableau, or Power BI.
• Experience with data modeling, data warehousing, and data visualization techniques.
• Strong analytical and problem-solving skills to interpret complex data sets and identify trends and patterns.
• Excellent communication skills to articulate data insights and recommendations to clients and team members.
• Ability to work independently and in a team environment, managing multiple priorities and deadlines.

Key Skills:

• Advanced knowledge of data analytics, cleaning and preparation.
• Proficiency with data modeling and data analysis tools.
• Expertise in programming languages.
• Experience with statistical and mathematical analysis.