Sr. Data Analyst - San Juan, PR

UnitedHealth Group•San Juan, PR

About The Position

Optum is seeking a Sr. Data Analyst to manage and manipulate mostly structured data and build business intelligence tools. The role involves analyzing data to identify patterns and trends, normalizing data and assuring its quality, and defining specifications to bring data into a common structure. The analyst creates product specifications and models, develops data solutions, interprets analytical results, and presents actionable recommendations for use across the company. The position supports organizational analyses through tools and models such as segmentation, dashboards, visualizations, decision aids, and business case analyses. It also produces and manages delivery of activity and value analytics to external stakeholders and clients. The analyst uses business intelligence, data visualization, query, analytic, and statistical software, and applies descriptive and regression-based analytics informed by subject matter experts. An English proficiency assessment is required after application. The role offers performance recognition, clear direction, and development opportunities for other roles.

Requirements

At least 3 years of business analytics and database management experience.
At least 3 years of experience with relational SQL in data management and building ETL pipelines.
At least 3 years of experience developing BI dashboards for business stakeholders, including senior leadership.
At least 3 years of experience with Tableau, Domo, Power BI, or SSRS.
Available to work 40 hours per week, Monday through Friday, and flexible to work any 8-hour shift schedule during normal business hours of 7:00 a.m. to 4:00 p.m. AST.
May need to work occasional overtime or weekends based on business needs.
Available to work in Puerto Rico or willing to relocate.
English proficiency; an assessment will be required after application.

Nice To Haves

Experience with Microsoft Azure.
Experience with Python, R, SPSS, or SAS.
Experience with big data tools such as Hadoop, Spark, Kafka, or Hive.

Responsibilities

Manage and manipulate mostly structured data, with a focus on building business intelligence tools.
Analyze data to distinguish patterns and recognize trends.
Perform normalization operations and assure data quality.
Create specifications to bring data into a common structure.
Create product specifications and models.
Develop data solutions to support analyses; perform analysis, interpret results, and present actionable recommendations for use across the company.
Understand data requirements and develop tools and models, including segmentation, dashboards, data visualizations, decision aids, and business case analysis.
Produce and manage delivery of activity and value analytics to external stakeholders and clients.
Use business intelligence, data visualization, query, analytic, and statistical software to build solutions, perform analysis, and interpret data.
Use descriptive and regression-based analytics, incorporating subject matter expert views into the design of analytics and algorithms.