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Senior Data Analyst Jobs in Puerto Rico (NOW HIRING)

PR · On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays) ???? Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli Software LLC is ...

PR · On-site

¡Transforma el futuro de la salud en Puerto Rico como Data Analyst (Híbrido-PR) en Provider Network Solutions! ???? ???? Tu análisis contribuirá a generar un impacto real en la calidad del ...

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology ... This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ...

PR

$48/hr

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology ... This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ...

US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a ...

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery of high-impact services across assigned projects and engagements. This role requires strong ...

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery of high-impact services across assigned projects and engagements. This role requires strong ...

Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms. * Enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions. The ...

The Data Scientist will lead projects and collaborate with business partners including commercial ... This role will lead advanced analytics projects from the front and will be responsible for end-to ...

The Data Scientist will lead projects and collaborate with business partners including commercial ... This role will lead advanced analytics projects from the front and will be responsible for end to ...

PR · On-site

Discover how Consertus is driving transformative change for our clients, our people, and the communities we serve atwww.consertus.com Whats the role We are looking for a driven Jr. Data Analyst to ...

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 ...

PR · On-site

As a Senior Analyst - Treasury & Liquidity, you'll analyze cash and liquidity, handle projections ... Operating on the operational side of cash management, you will collaborate company-wide for data ...

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Senior Data Analyst information

Are you a senior at 55?

Age does not determine whether someone can be a senior data analyst; experience, skills, and qualifications are the primary factors. Many professionals continue to work in data analysis roles well into their 50s and beyond, often bringing valuable industry knowledge. Employers typically focus on relevant expertise, certifications, and ability to perform the job rather than age.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What should a 70 year old be doing every day at home?

A senior data analyst at 70 can engage in daily activities that promote mental and physical well-being, such as reading, light exercise, and hobbies. Staying socially connected and maintaining a routine can support overall health and cognitive function, which are important for continued productivity and engagement at any age.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

How often should a 75 year old woman take a shower?

A senior data analyst role does not influence personal hygiene routines; generally, a 75-year-old woman should shower as needed for cleanliness, typically every 1-3 days, depending on personal health, activity level, and skin condition. Regular bathing helps maintain hygiene and skin health, but frequency can vary based on individual preferences and medical advice.

In what grade is senior?

The term 'senior' in the job title Senior Data Analyst typically indicates a higher level of experience and responsibility within the role, often requiring several years of relevant work experience and advanced skills in data analysis tools like SQL, Python, or R. It does not correspond to a specific grade or educational level but reflects a seniority level in the professional hierarchy.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Puerto Rico? The most popular types of Data Analyst jobs in Puerto Rico are:
What are popular job titles related to Senior Data Analyst jobs in Puerto Rico? For Senior Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What cities in Puerto Rico are hiring for Senior Data Analyst jobs? Cities in Puerto Rico with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Analyst

WORKSIMPLI SOFTWARE LLC

PR • On-site

$45K - $55K/yr

Full-time

Medical, PTO

Posted 17 days ago


Job description


???? Data Analyst

???? Location: San Juan, Puerto Rico (Hybrid – Remote Wednesdays)
???? Job Type: Full-Time | Monday to Friday
???? www.worksimpli.com

About WorkSimpli Software

WorkSimpli Software LLC is a fast-growing SaaS company based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data into insights and drive smarter decision-making across our products and operations.

Position Summary

As a Data Analyst, you’ll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data that supports strategic decisions across marketing, product development, finance, and leadership.

This role is ideal for someone passionate about storytelling through data, curious about product and user behavior, and experienced with extracting insights from complex datasets.

Key Responsibilities

  • Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.).
  • Build dashboards and visualizations that provide insight into KPIs, user engagement, and product performance.
  • Identify trends, patterns, and opportunities across platforms like PDFSimpli.com.
  • Work with Product, Marketing, and Executive teams to translate business questions into data questions—and deliver answers.
  • Conduct A/B tests and conversion analysis to support product and marketing optimization.
  • Write reports and present findings in clear, actionable formats.
  • Maintain and enhance data pipelines in collaboration with engineers when needed.
  • Ensure data integrity, consistency, and security.

Required Skills & Experience

  • 2–3 years of experience in data analysis, business intelligence, or a similar role.
  • Strong command of SQL for data querying and transformation.
  • Proficiency in Excel and data visualization tools like Tableau, Power BI, or Looker.
  • Experience with Google Analytics, Mixpanel, or similar web/product analytics platforms.
  • Ability to translate complex data into clear insights and actionable recommendations.
  • Excellent communication skills, both written and verbal.
  • Attention to detail and comfort handling large datasets.

Bonus / Preferred Skills

  • Familiarity with Python or R for data analysis or automation.
  • Experience working in a SaaS or digital product environment.
  • Understanding of customer behavior metrics, growth funnels, and product performance KPIs.
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake).
  • Exposure to A/B testing platforms and methodology.

Education Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field.
  • Equivalent experience or certifications (Google Data Analytics, etc.) will be considered.

Why Join WorkSimpli?

  • Be part of a high-impact SaaS company serving millions of users worldwide
  • Work cross-functionally and directly influence product and business decisions
  • Hybrid work model with flexible schedule (Remote Wednesdays)
  • Health insurance, PTO, and competitive salary + bonus opportunities
  • Culture of collaboration, learning, and innovation