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: