Data Analyst - Senior

About the role

Candidate must have experience in finance and data analysis. In addition, candidate will not be considered if VBA coding skills are a must.

Suppliers, we are looking for stronger fresh new better aligned candidates resumes who have a Degree in MIS, ideally for someone right out of college; looking more so for a technical writer in Microsoft Access Database, be able to look at the Codes that was written and understand what the process is, user interface, and applications that we are using, and we are looking for a support team. Position is up to 12 months assignments; potentially can become a temp to perm depending on performance and budget.

Provides strategic and tactical support to the organization by analyzing and interpreting the data to provide creative solutions. Performs data analysis with regard to client requests and develops rules and methodologies for effective data management.

Gathers, processes, and manages information, applying technology to produce creative solutions geared to assure data integrity, develop rules and methodologies for effective data management, and improve the efficiency of operations. Performs data analysis in response to client requests, conducts research to address business intelligence needs, and provides strategic and tactical support as necessary.

Individual must be business oriented and technically proficient in Microsoft Office applications, including advanced VBA coding skills and a working knowledge of dynamic data exchange.

Excellent written and verbal communication skills as well as strong analytical skills are a must.

Bachelor's degree required. Previous experience in a banking/accounting environment a plus.

Duties and Responsibilities

• Assuring the integrity of project data, including data extraction, storage, manipulation, processing and analysis.
• Collecting and collating appropriate data for usage in databases and conducting related research.
• Discussing business intelligence needs or information with external clients and internal staff.
• Participating in ongoing decisions concerning data collections, study design, methodology, and data analysis.