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Senior Data Analyst Government Jobs in Puerto Rico

Assurant, Inc

Sr. Auto Claims Analyst

San Juan, PR · On-site

Job Purpose The Senior Auto Claims Analyst is a senior individual contributor responsible for ... Data Analysis, Insights & Forecasting * Analyze claims data to identify trends in frequency ...

Castro & Company, LLC

Senior Auditor

San Juan, PR · On-site

$52K - $64K/yr

Prepare work papers, perform reconciliations, and analyze contractors' data using automation tools ... Must be able to pass a government suitability check (US Citizenship required) Castro Puerto Rico is ...

Integra LifeSciences

Director, Quality Data Analytics

Anasco, PR

$166K - $228K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Director, Quality Program Management, Quality Data Analytics leads managers and/or advanced individual contributors and partners with senior leadership to embed datadriven decisionmaking across ...

Honeywell International, Inc.

Sr. Analyst

Aguadilla, PR · On-site

$52K - $69K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Lead projects to improve data availability and insights for growth strategies (e.g., channel ... Experience building analytics/reporting and improving data quality in enterprise systems; strong ...

Medtronic

Sr. Bus. Proc Improv Analyst

Villalba, PR · On-site

The Sr Business Process Improvement Analyst (Opex) drives operational excellence by analyzing end ... Collects data to identify root cause of problems. * Measures performance against process ...

Medtronic

Sr. Bus. Proc Improv Analyst

Villalba, PR · On-site

The Sr Business Process Improvement Analyst (Opex) drives operational excellence by analyzing end ... Collects data to identify root cause of problems. * Measures performance against process ...

Liberty Latin America Communications, Inc.

PR · On-site

$110K - $111K/yr

As a Senior Tax Analyst is responsible for leading complex tax compliance, tax accounting ... data. * High standards of ethics and confidentiality to handle sensitive information. * Computer ...

Toyota

... data accuracy and actionable insights. Requirements Education: Bachelor's degree in Business ... Legal and Government Knowledge related to procurement, contracts and compliance, Reading ...

Deca Analytics

Junior Financial Associate

San Juan, PR · On-site

Government Incentives: We structure, negotiate, and secure Puerto Rico-specific Act 60 tax decrees ... You will work under the guidance of senior analysts and associates, supporting market research ...

Deca Analytics

Junior Financial Associate

San Juan, PR · On-site

Government Incentives: We structure, negotiate, and secure Puerto Rico-specific Act 60 tax decrees ... You will work under the guidance of senior analysts and associates, supporting market research ...

Amgen

Senior Engineer

Juncos, PR · On-site

$101K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Engineer What you will do Let's do this. Let's change the world. We are seeking a Senior ... Perform data analysis using advanced statistical/analytical techniques with a proficiency in ...

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All JobsData Analyst Government JobsSenior Data Analyst Government JobsSenior Data Analyst Government Jobs in Puerto Rico

Senior Data Analyst Government information

What does a senior data analyst do in government?

A Senior Data Analyst in government is responsible for collecting, analyzing, and interpreting large sets of data to inform public policy, improve government services, and support decision-making. They use statistical tools and data visualization techniques to present findings to stakeholders, including government officials and the public. Senior Data Analysts may also design and manage data systems, ensure data quality, and mentor junior analysts. Their work helps government agencies operate more efficiently and transparently. They often collaborate with other departments and external partners to achieve project goals.

What are the key skills and qualifications needed to thrive as a senior data analyst in government?

To thrive as a Senior Data Analyst in government, you need advanced analytical skills, a strong background in statistics or data science, and typically a relevant degree such as in mathematics, economics, or computer science. Expertise in data analysis tools like SQL, Python, R, and experience with government data systems or platforms are highly valued, along with certifications such as Certified Analytics Professional (CAP). Excellent communication, problem-solving abilities, and attention to detail help translate complex data findings into actionable insights for stakeholders. These competencies ensure accurate, data-driven decision-making and support transparency and efficiency in public sector projects.

How does a senior data analyst in government typically collaborate with other departments to drive data-informed decisions?

A Senior Data Analyst in government often works cross-functionally with policy makers, IT teams, and program managers to ensure data-driven strategies are implemented effectively. They participate in interdepartmental meetings, present analytical findings, and help translate complex data insights into actionable recommendations. Collaboration may also involve training non-technical staff on data literacy and developing dashboards or reports tailored to various stakeholders’ needs. This collaborative approach helps ensure that public sector initiatives are both evidence-based and aligned with organizational goals.

What is the difference between Senior Data Analyst Government vs Data Analyst Government?

AspectSenior Data Analyst GovernmentData Analyst Government
Required CredentialsBachelor's degree, often with experience in data analysis or related fieldsBachelor's degree in data science, statistics, or related field
Work EnvironmentGovernment agencies, public sector organizationsGovernment departments, public sector offices
Employer & Industry UsageUsed for advanced data analysis roles within governmentEntry to mid-level data analysis roles in government
Common Search & ComparisonOften compared for experience level and responsibilitiesCompared for entry-level understanding of government data roles

The main difference between a Senior Data Analyst Government and a Data Analyst Government lies in experience and responsibilities. Senior roles typically require more expertise, leadership, and complex project management, whereas Data Analysts focus on foundational data tasks. Both roles are vital in government settings, but the senior position involves strategic analysis and mentorship.

What are the most commonly searched types of Data Analyst Government jobs in Puerto Rico?

The most popular types of Data Analyst Government jobs in Puerto Rico are:

What are popular job titles related to Senior Data Analyst Government jobs in Puerto Rico?

For Senior Data Analyst Government jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Government jobs in Puerto Rico look for?

The top searched job categories for Senior Data Analyst Government jobs in Puerto Rico are:

Senior Data Analyst Government jobs near you

Data Scientist Senior - 35618 - Juncos, PR

Integrated Services for Productivity & Validation, Inc

Juncos, PR • On-site

$90 - $130/hr

Other

Posted 12 hours ago

Posted today

Job description

Integrated Services For Productivity & Validation, Inc

Contract

Juncos, Puerto Rico

We provide the industry with a platform of solutions designed to their actual needs. We share and implement leading edge technology and methods that exceed customer expectation and deliver a one-stop provider of services focus on the well-being of the company and the employees.

Job Description
  • The ideal candidate should demonstrate a strong combination of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.
  • A standout candidate would have experience or demonstrated capability in the following areas:
  • Data analytics and visualization.
  • Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smartsheet, JMP, Minitab, or similar platforms would be highly valuable.
  • Programming, automation, and AI-enabled tools.
  • Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted coding tools, Power Automate, scripting, database structure, or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems.
  • Statistical and process evaluation mindset.
  • Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation.
  • Validation and/or GMP documentation experience.
  • Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.
  • Strong communication and stakeholder engagement.
  • Ability to work with cross-functional teams, gather user requirements, translate business needs into tool requirements, and communicate findings clearly to management and technical stakeholders.
  • Be available to support non-standard shift when activities are required.
Requirements

MUST qualify in the categories as follows:

Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

  • The following educational backgrounds may be considered, provided the candidate’s experience meets the role requirements: Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline.
  • A background in Engineering is highly preferred due to the project’s focus on resource planning, workload modeling, capacity evaluation, process optimization, and operational efficiency. However, candidates from science, or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics, digital tools, GMP operations, and validation support.
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