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Senior Python Data Analyst Jobs in Tampa, FL (NOW HIRING)

Senior Python Developer

Tampa, FL · On-site

$111K - $149K/yr

Grow your career with an innovative global bank in Tampa, FL as a Senior Python Developer. Contract ... Core Python & Data Engineering: * Expert-level programming skills in Python and PySpark ...

Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ... Background communicating to senior stakeholders in a classified environment * CompTIA Security ...

Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and ... Background communicating to senior stakeholders in a classified environment * CompTIA Security ...

Senior Data Analyst

Oldsmar, FL · On-site

$78K - $99K/yr

Senior Data Analyst Are you looking to make a difference in patients' lives with a company that ... Use Python to automate data processing, reconciliation, validation, reporting, and other repetitive ...

New

Senior Data Analyst

Tampa, FL · Hybrid

$104K - $130K/yr

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change!    At Philip Morris ... Prefer experience resource with Snowflake experience, Python and/or any scripting languages

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 ... Prefer experience resource with Snowflake experience, Python and/or any scripting languages

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data Analyst who is ready to work on QE side with Java/Python * Data Engineers - Who is ready to do QE role with Java/Python * SQL query writing & programming (Java/Python) * Java/Python plays a role ...

Use Python to automate reporting, data validation, file processing, and repetitive tasks. * Build ... Work with senior analysts and business leaders to understand reporting and analytics needs.

New

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

Agentic AI developer

Tampa, FL

$114K - $154K/yr

The role requires deep expertise in Python, data engineering, and AI/GenAI (including LLMs), with a ... Strong analytical, problem-solving, and decision-making skills * Ability to work effectively across ...

Senior Data Analyst

Tampa, FL · On-site

$78K - $98K/yr

Mandatory Skills Description: * - 6+ years of requirements management / business analysis experience * - SQL knowledge, be able to write complex SQL queries * - Scripting experience (R, Python, VBA ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and ... Developing custom data querying and manipulation capabilities using languages such as R, Python ...

Other degrees are acceptable if a candidate has deep technical experience with Snowflake, SQL, Python, R to pair with Data Analytics experience. * Reporting tool experience (ex: Tableau, Sigma, Power ...

Experience with Python, R, or other analytical programming languages * Background in supply chain ... data points * Self-starter who proactively identifies opportunities and presents solutions

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

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Senior Python Data Analyst information

See Tampa, FL salary details

$52K

$93.8K

$128.1K

How much do senior python data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior python data analyst in Tampa, FL is $93,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $102,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities near Tampa, FL are hiring for Senior Python Data Analyst jobs?

Cities near Tampa, FL with the most Senior Python Data Analyst job openings:

$110K - $148K/yr

Other

Posted 11 days ago


Job description

Grow your career with an innovative global bank in Tampa, FL as a Senior Python Developer. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6 Months
Required Skills & Experience
  • Bachelor's degree/University degree or equivalent experience
  • Core Python & Data Engineering:
    • Expert-level programming skills in Python and PySpark, specifically for developing Spark applications.
    • Experience with PySpark for data processing.
    • Familiarity with data manipulation libraries (Pandas, NumPy).
    • Scripting for automation and data orchestration.
    • Complex query writing, including subqueries, window functions, and performance tuning.
    • Strong proficiency in Spark Core, Spark SQL, Spark Streaming.
    • Beneficial: Experience with Spark GraphX.
    • Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).
  • Big Data Ecosystem:
    • In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
    • Experience with HDFS commands and administration.
    • Solid understanding of YARN resource management and job scheduling.
    • Fundamental understanding of the MapReduce programming paradigm (even if primary development is in Spark/Flink).
    • Knowledge of Zookeeper for distributed coordination services.
    • Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
  • Database & Data Modeling:
    • Experience with HBase (for real-time access to large datasets within Hadoop).
    • Experience with NoSQL databases such as Cassandra, MongoDB, or similar.
    • Familiarity with RDBMS concepts and SQL for data integration.
    • Understanding of dimensional modeling, fact and dimension tables, and star/snowflake schemas.

What You Will Be Doing
  • Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
  • Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
  • Design and implement agentic flows and build autonomous AI agents capable of reasoning, planning, and tool utilization.
  • Enforce industry-standard SDLC best practices and contribute to code quality through comprehensive code reviews.
  • Collaborate effectively with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) to ensure seamless project delivery.
  • Drive development for Stress Testing and Regulatory Risk projects, specifically within the Market Risk domain.
  • Manage project technical aspects, including planning, governance, and taking ownership of initiatives from conception to completion.
  • Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.