Senior Data Analyst | People Analytics

DataJobs; San Juan (PR); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Popular Bank in San Juan, Puerto Rico, seeks a Senior Data Analyst to fortify its People Analytics strategy by turning workforce data into actionable insights. The role is hybrid, based in San Juan, PR, and involves building analytics products, models, and dashboards for HR and business leaders.

You will collaborate with subject matter experts to translate analytics into strategic recommendations, develop end-to-end dashboards, and communicate findings to senior leadership, driving workforce

Qualifications

• Bachelor’s or Master’s degree in Statistics, Data Analytics, Data Science, Programming, Information Systems, or Computer Science.
• At least 2 years of progressive experience with disparate data sources.
• Experience with relational databases and programming languages such as SQL, SAS, R, and Python.
• 4+ years of experience in predictive analytics, machine learning, or data science.
• Advanced Python and/or R; SQL proficiency.
• Experience with PySpark and large-scale datasets.
• Experience with Snowflake, Databricks, Azure Data Platform or similar cloud environments.
• Experience deploying predictive models in production environments.
• HR, Workforce, Employee Experience, Talent Acquisition, or organizational data experience preferred.

Responsibilities

• Use advanced methods to leverage workforce, talent, engagement, compensation, recruiting, learning, and organizational data.
• Tackle complex analytical questions with transformations, queries, statistical analysis, prediction, and ML.
• Develop and maintain data pipelines and analytics scripts across multiple systems.
• Design, validate, and maintain predictive and prescriptive models for workforce planning and related initiatives.
• Translate results into actionable business insights for HR leadership and stakeholders.
• Build and maintain interactive dashboards and scorecards end-to-end.

Education

Bachelor’s or Master’s degree in Statistics, Data Analytics, or Computer Science

Tools

SQL

SAS

R

Python

PySpark

Snowflake

Databricks

Azure Data Platform

Job description

Popular Bank is seeking a Senior Data Analyst to strengthen its People Analytics strategy by turning workforce data into predictive and prescriptive insights. In a hybrid role based in San Juan, PR, you will build analytics products, models, and dashboards that help HR and business leaders make strategic workforce and organizational decisions, while partnering closely with subject matter experts across the People division.

Responsibilities

• Use innovative methods to leverage existing and emerging workforce, talent, engagement, compensation, recruiting, learning, and organizational data sources to deliver actionable insights for strategic decisions.
• Tackle complex analytical questions that go beyond self-service reporting through advanced data transformations, custom queries, statistical analysis, predictive modeling, machine learning, and other advanced techniques.
• Develop and maintain analytical scripts, data pipelines, and reusable solutions to extract, transform, and integrate large, complex datasets from multiple systems across the employee lifecycle.
• Design, develop, validate, and maintain predictive and prescriptive models supporting strategic initiatives such as workforce planning, turnover risk, internal mobility, hiring effectiveness, retirement readiness, employee engagement, and organizational effectiveness.
• Translate analytical results into clear business insights, recommendations, and actionable strategies for Human Resources leadership, business leaders, and stakeholders.
• Communicate advanced statistical and analytical concepts clearly and concisely, aligning analytical findings with business outcomes.
• Convert raw workforce data into reliable metrics and KPIs, producing analytical products that support decision-making throughout the organization.
• Build and maintain interactive dashboards, scorecards, and reporting solutions end to end, including requirements gathering, KPI definition, data acquisition, data modeling, visualization design, deployment, maintenance, and continuous improvement.
• Present analyses, dashboards, predictive models, and key findings to senior leadership, including interpretation, assumptions, limitations, and recommended actions.
• Act as a trusted advisor by helping leaders understand workforce trends, drivers, risks, and opportunities.
• Partner with subject matter experts across the People division to identify analytical opportunities and deliver data-driven solutions.
• Collaborate with other Business Analysts in People Analytics to align methodologies and share expertise across projects.
• Perform rigorous quality assurance, validation, and governance across datasets, reports, dashboards, and predictive models to ensure accuracy, consistency, reliability, and compliance with data governance requirements.
• Work with subject matter experts to validate assumptions, methodologies, and findings.

Requirements

• Bachelor’s or Master’s degree in a field related to Statistics, Data Analytics, Programming, Information Systems, Data Science, or Computer Science.
• At least 2 years of progressive experience working with disparate data sources and generating new insight.
• Experience with relational databases and programming languages such as SQL, SAS, R, and Python.
• 4+ years of experience in predictive analytics, machine learning, or data science.
• Advanced Python and/or R.
• SQL proficiency.
• Experience working with large-scale datasets and distributed computing frameworks such as PySpark.
• Experience with Snowflake, Databricks, Azure Data Platform, or similar cloud environments.
• Experience deploying predictive models in production environments.
• Experience working with HR, Workforce, Employee Experience, Talent Acquisition, or organizational data is preferred.
• Provide evidence of academic preparation or courses related to the job posting, if necessary.

Technologies: SQL, SAS, R, Python, PySpark, Snowflake, Databricks, Azure Data Platform