Join our team to leverage your expertise in data analysis, visualization, and interpretation to drive business innovation and decision-making.

Job Summary:
The ideal candidate should possess expertise in data analysis, visualization, and interpretation, and will be tasked with generating insights from large datasets to inform business decisions and foster innovation.

Job Responsibilities:

Support partnership with key stakeholders with a strong understanding of underlying data. Collaborate with business partners to formulate quantifiable goals; support strategies and experimentation to achieve business goals. Develop and represent deep data knowledge to support performance monitoring and analysis delivery. Design and deliver KPIs, trend analysis, dashboards, and analyses including segmentations, optimizations, and other techniques to improve business function performance. Collaborate across functions and LOBs to drive analytics and insights. Collect, clean, and analyze data from various sources to identify trends, patterns, and insights. Develop and maintain dashboards and reports to visualize data and communicate findings to stakeholders. Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Conduct ad-hoc analysis and present results in a clear and concise manner. Monitor and evaluate the effectiveness of data-driven strategies and make recommendations for improvement. Stay current with industry trends, emerging technologies, and best practices in data analysis. Analyze large datasets to identify trends, patterns, and opportunities for optimization. Prepare reports and presentations to communicate findings and recommendations to senior management.

Required Qualifications, Capabilities, and Skills:

Strong proficiency in programming languages such as Python, R, or SQL. Knowledge of data visualization tools, such as Tableau or Power BI. Ability to analyze large datasets to identify trends, patterns, and opportunities for optimization. Experience in preparing reports and presentations to communicate findings and recommendations to senior management.

Preferred Qualifications, Capabilities, and Skills:

Experience with big data technologies, such as Hadoop or Spark. Knowledge of statistical analysis. Familiarity with cloud platforms, such as AWS or Azure. Familiarity with SSIS Stored Procedures.