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Senior Data Analyst Jobs in New Port Richey, FL (NOW HIRING)

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris International (PMI), we've chosen to do something incredible. We're totally transforming our business and ...

Sr Data Analyst

Tampa, FL · On-site

$81K - $102K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change! At Philip Morris International (PMI), we've chosen to do something incredible. We're totally transforming our business and ...

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

... analysis and documenting- Strong analytical and communication skills- Proactive team player, stress resistant Nice to have * - Experience working with large-scale enterprise data platforms ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle Key Responsibilities * The ...

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

R0246618 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you ...

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

R0246622 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you ...

Senior Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

The Leidos Defense Sector is seeking highly qualified Senior Data Engineers to support a ... Partner with Data Scientists, Data Analysts, Operations Research/Systems Analysts (ORSAs), software ...

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start Date: April 2026 Location: Remote - Candidates must reside and work within the Eastern Time Zone ...

The Distributor Data Analyst partners with the Distributor Strategy Team to increase the percentage of Fintech retail customers with targeted distributors. The Distributor Data Analyst also partners ...

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Senior Data Analyst information

See New Port Richey, FL salary details

$49K

$88.4K

$120.7K

How much do senior data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data analyst in New Port Richey, FL is $88,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $96,600.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

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 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.

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.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in New Port Richey, FL?

The most popular types of Data Analyst jobs in New Port Richey, FL are:

What job categories do people searching Senior Data Analyst jobs in New Port Richey, FL look for?

The top searched job categories for Senior Data Analyst jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Senior Data Analyst jobs?

Cities near New Port Richey, FL with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $88,384 per year, or $42.5 per hour.

Senior Data Analyst

Tampa, FL • Hybrid

$104K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Senior Data Analyst - Tampa, FL

Be a part of a revolutionary change!   

At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.   

With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.   

Your 'day to day':  

We are seeking a highly skilled and innovative Senior Data Analyst to become part of our Data Services team. This role requires someone with exceptional attention to detail, strong analytical abilities, and extensive experience in both data analysis and gathering data requirements. The successful candidate should be adept at collaborating across business and technology functions, demonstrating solid technical proficiency through hands-on involvement with data profiling, data mapping, and supporting data validation processes. Moreover, a thorough grasp of agile methodologies is crucial for success in our fast-paced and evolving environment.

  • Perform comprehensive data profiling to assess data consistency, completeness, uniqueness, and validity.
  • Produce detailed profiling reports and communicate findings with data architect, data engineers, SMEs, and business stakeholders.
  • Collaborate with data governance teams to define and create DQ rules across key dimensions such as accuracy, timeliness, validity, anomaly detection, and uniqueness.
  • Create end‑to‑end source-to-target mapping for ingestion, transformation, and delivery layers.
  • Work closely with data architect, data engineers to validate mapping logic, transformations, and business semantics.
  • Ensure metadata completeness (column definitions, tags, PII classification, confidentiality levels) and consistency across source systems and target data models.
  • Create SQL‑based test queries to validate data transformations, mappings, business rules, and integration points.
  • Document test evidence, summarize results, and ensure all approvals are captured in project artifacts.
  • Partner with data engineers, data modelers, architects, and domain SMEs to deliver high‑quality data solutions.
  •  Support data governance teams by providing inputs for classification, lineage enrichment, and metadata catalog updates.

Who we're looking for:

  • Legally authorized to work in the U.S.
  • Commutable distance to Tampa, FL.
  • 5+ years of experience as a Data Analyst, Data Quality Analyst, or similar role.
  • Strong SQL skills for profiling, testing, and data validation across large distributed data sets.
  • Prefer experience resource with Snowflake experience, Python and/or any scripting languages
  • Experience with data quality tools, profiling frameworks, and metadata/catalog platforms (e.g., Atlan, Data Quality Monitoring, etc.).
  • Good understanding of ETL/ELT processes, data modeling concepts, and enterprise data architectures.
  • Prior experience creating source‑to‑target mappings and data transformation specifications.
  • Strong technical, analytical, communication, and problem‑solving skills.
  • Legally authorized to work in the U.S.
  • Fluent in English.

Annual Base Salary Range: $104,000-$130,000

What we offer: 

  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!   
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.   
  • Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.   
  • Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.   
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.   
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.   

PMI is an Equal Opportunity Employer.    

PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.     

PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI’s affiliates first entered the U.S. market following the company’s acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match – a leader in oral nicotine delivery – creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI’s IQOS electronically heated tobacco devices and Swedish Match’s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.   

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