Data Analyst at Banco PopularPuerto Rico, United States — internship

General Description

The Data Analyst designs and executes data mining plans, performs primary and secondary analyses, prepares reports, and conducts research & presentations of moderate difficulty on a wide range of projects. Tasks typically involve quantitative analysis, data integration from both internal & external sources and database development

Essential Duties and Responsibilities

Support marketing communication efforts needs by creating customers list and performing regulatory exclusions.

Perform market research projects by identifying the best methodology for study needed, define questionnaires to address information needs/gaps, sample design, supplier supervision, report preparation, and knowledge transfer.

Perform data mining and analyze large sets of data to identify patterns and trends by applying quantitative and analytical tools. Ensure data quality by performing segmentation, applicable policies, and accuracy audits.

Pinpoint trends, correlations, and patterns in complicated data sets.

Work in partnership with the supervisor and marketing staff to provide a holistic and integrated view of opportunities for the business units

Devise methods and procedures for obtaining, maintaining, and updating customer related data, including the collection, coding, and tabulation. Lead the evaluation of the data as well as the database development and maintenance or relational database and data system.

Assist the supervisor in the integration of market data from all sources (customer survey and qualitative data, customer databases, market measures, competitive intelligence, market assessments, industry reports, etc.).

Use statistical methods to analyze data and generate useful reports. For example, customer profiles and response analyses.

Develop analysis and recurrent reports for management and internal clients, presenting the results of research and analysis. Provide concise data reports and clear data visualizations for management.

Help facilitate processes to translate data insights into strategic direction.

Support integration of propensity models previously developed into database processes and analyses.

Manage database suppliers and consultants’ agreements, as applicable.

Lead knowledge transfer in his/her area of responsibility.

Education

Bachelor’s degree (B.A.) in Industrial Engineering, Computer Science or Economics, Statistics or Mathematics or related fields.