1

Data Analyst Python Sql Jobs in Lakeland, FL (NOW HIRING)

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 ... Advanced SQL proficiency, including complex query design across large datasets using CTEs ...

Utilize SQL to query, manipulate, and validate data from established data sources. * Present ... Strong SQL skills with the ability to query and analyze data from multiple sources. * Proven ...

Solid experience with SQL and relational databases such as Oracle. * Experience in data ... Strong problem-solving, analytical, and organizational skills. * Clear and concise verbal and ...

Python Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Strong SQL skills and experience with relational and NoSQL databases. Experience with Apache Kafka ...

Marketing Enablement Analyst Senior

Tampa, FL · On-site

$96K - $119K/yr

Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Demonstrated experience in project management. What sets you apart: * Experienced with media/social/audience data ...

Showing results 21-40

Data Analyst Python Sql information

See Lakeland, FL salary details

$31.7K

$77K

$126.8K

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

As of Sep 2, 2026, the average yearly pay for data analyst python sql in Lakeland, FL is $77,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Lakeland, FL?

For Data Analyst Python Sql jobs in Lakeland, FL, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Lakeland, FL look for?

The top searched job categories for Data Analyst Python Sql jobs in Lakeland, FL are:

What cities near Lakeland, FL are hiring for Data Analyst Python Sql jobs?

Cities near Lakeland, FL with the most Data Analyst Python Sql job openings:

Senior Fraud Data Analyst

Suncoast Credit Union

Tampa, FL • Remote

$75K - $117K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Suncoast Credit Union rating

8.3

Company rating: 8.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Overview

Compensation: $75,000 - $117,000

Location Type: Remote (candidate must reside in one of several remote hire locations)

Position Type: Full Time 

The Senior Fraud Analyst actively participates in the fraud prevention and risk management activities to mitigate the credit union's and members' exposure to potentially fraudulent activities. The position is responsible for evaluating member and situational/threat trends by channel, as well as cross-channel. Key responsibilities include performing ongoing analytics and preparing recommendations to present to first-line VPs and SVPs enterprise-wide. 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 will help develop new fraud risk reporting utilizing business intelligence. 


Responsibilities
  • Demonstrate end-to-end ownership of fraud analytics, including data modeling, visualization, and reporting, translating insights into actionable strategies and rule development

  • Conduct comprehensive analyses to identify fraud trends and emerging threat vectors, assess overall scope and impact, and define appropriate mitigation strategies

  • Develop and produce executive key performance metrics and report to senior management and the enterprise risk

  • Develop analytics and recommendations regarding the enterprise fraud strategy to minimize the credit unions’ fraud losses

  • Assess trends impacting fraud and provide real-time recommendations to mitigate potential fraud against the credit union and members

  • Perform complex analysis and/or modeling to identify patterns of fraudulent transactions and to prevent fraudulent transactions

  • Create, test, and implement rule criteria in applicable detection systems (FIS, Falcon, Verafin, Alloy etc.)

  • Balance fraud prevention recommendations with member experience considerations

  • Analyze loss data and recommend/implement appropriate loss prevention strategies

  • Evaluate fraud cases and losses holistically to identify potential trends and areas of improvement

  • Create and deliver BI reporting to develop top-notch reporting for senior leadership, boards, and examiners

  • Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise

  • Attend educational events to increase professional knowledge

  • Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs


Qualifications
  • Bachelor’s degree in finance, computer science, data analytics, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements.)

  • Minimum of 6 years of experience in data analysis, fraud strategy, and rule writing, preferably with a financial institution

  • Minimum of 4 years of experience with Business Intelligence tools such as Power BI, Tableau, and Qlik, including Structured Query Language (SQL) and SSRS report writing

  • Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring

  • Advanced Power BI expertise, including data modeling, use of DAX for complex calculations and measures, and optimization of report performance for large datasets

  • Experience developing enterprise-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling

  • Advanced SQL proficiency, including complex query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER, LEAD/LAG), and aggregations, with ability to optimize queries for performance and scalability

  • Experience designing and maintaining scalable data pipelines and views in SQL to support reporting, including data validation, reconciliation logic, and governance of source-to-report transformations

  • Demonstrated ability to integrate SQL-based data sources with Power BI, including DirectQuery/Import models, incremental refresh strategies, and governance of semantic layers to ensure consistency across reporting assets

  • Excellent analytical and quantitative skills, including root cause and trend analysis

  • Ability to effectively communicate complex results to a business audience not familiar with complex data and analytics

  • Ability to maintain a high level of confidentiality

Benefits

  • Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Qualifications:
  • Bachelor’s degree in finance, computer science, data analytics, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements.)

  • Minimum of 6 years of experience in data analysis, fraud strategy, and rule writing, preferably with a financial institution

  • Minimum of 4 years of experience with Business Intelligence tools such as Power BI, Tableau, and Qlik, including Structured Query Language (SQL) and SSRS report writing

  • Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring

  • Advanced Power BI expertise, including data modeling, use of DAX for complex calculations and measures, and optimization of report performance for large datasets

  • Experience developing enterprise-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling

  • Advanced SQL proficiency, including complex query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER, LEAD/LAG), and aggregations, with ability to optimize queries for performance and scalability

  • Experience designing and maintaining scalable data pipelines and views in SQL to support reporting, including data validation, reconciliation logic, and governance of source-to-report transformations

  • Demonstrated ability to integrate SQL-based data sources with Power BI, including DirectQuery/Import models, incremental refresh strategies, and governance of semantic layers to ensure consistency across reporting assets

  • Excellent analytical and quantitative skills, including root cause and trend analysis

  • Ability to effectively communicate complex results to a business audience not familiar with complex data and analytics

  • Ability to maintain a high level of confidentiality

Benefits

  • Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Suncoast Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom