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

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy ... Write and optimize SQL to extract, transform, and validate experiment and behavioral data from ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

Familiarity with Python, SQL, Power BI, Tableau, Alteryx, or similar analytics and automation ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

AllSTEM Connections

Data Analyst

Orlando, FL · On-site

$120K/yr

We are seeking a detail-oriented and analytical Data Analyst to join our team in Orlando. You will ... Develop complex SQL queries and utilize ETL frameworks to extract, transform, and load data.

Stellar IT Group

Senior Data Analyst

Altamonte Springs, FL · On-site

$80K - $101K/yr

Overview: Data Analyst (AI & Cortex Focus) Altamonte Springs, FL - Hybrid (Onsite 1st Wednesday ... Develop and maintain SQL queries, ETL/ELT pipelines, and data transformations. * Work with ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

... like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql ... analysis) and parameters that affect their performance also helps. You will leverage your strong ...

(unknown company)

Data Scientist

Orlando, FL

... analytics or data modeling Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in these programming languages (Python, SQL ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Advanced skills in SQL, Python and/or R * Familiarity in visualization tools such as Tableau ...

Margaritaville at Sea

Data Analyst

Orlando, FL

Strong SQL skills and proficiency with BI tools such as Power BI or Looker * Familiarity with data ... Strong analytical skills with the ability to interpret complex datasets * Proficiency in data ...

Danaher

Digital Analyst Internships

Orlando, FL · On-site

$91K - $108K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

... analyze data from platforms such as Google Analytics, Meta Ads, Google Ads, and Microsoft Ads ... in SQL and working knowledge of Python Experience architecting and managing large-scale data ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Windermere, FL

Data Analyst Python Sql information

See Windermere, FL salary details

$30.3K

$73.5K

$121K

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

As of Aug 10, 2026, the average yearly pay for data analyst python sql in Windermere, FL is $73,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 job categories do people searching Data Analyst Python Sql jobs in Windermere, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Windermere, FL are:
What cities near Windermere, FL are hiring for Data Analyst Python Sql jobs? Cities near Windermere, FL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Senior Data Analyst

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

$80K - $101K/yr

Full-time

Posted 17 days ago

Job description

General Description:

The Senior Data Analyst is responsible for leading advanced reporting, analytics, and business intelligence initiatives within the Information Technology organization. This role partners closely with executive leadership, business stakeholders, and data engineering teams to deliver high-impact analytical solutions that drive operational performance, strategic decision-making, and enterprise growth.

The Senior Data Analyst designs scalable reporting frameworks, develops enterprise-grade dashboards and paginated reports, and performs advanced data analysis using modern tools and statistical techniques. This position serves as a subject matter expert in SQL Server, Power BI, and data modeling, while mentoring junior analysts and promoting data governance, automation, and analytical best practices.

 

Essential Duties and Responsibilities:

Enterprise Reporting & Business Intelligence

  • Lead development of executive dashboards and operational reporting solutions using Power BI and Power BI Paginated Reports
  • Design scalable semantic models (star schema, dimensional modeling) aligned with enterprise data standards
  • Deliver daily, weekly, monthly, and ad-hoc reporting with a focus on automation, accuracy, and performance
  • Ensure consistency and reconciliation across financial, underwriting, claims, sales, and operational reports

Advanced Data Analysis

  • Perform complex data analysis using SQL Server, Python (pandas, NumPy), and statistical techniques
  • Identify trends, patterns, anomalies, and business drivers within large datasets
  • Translate business questions into structured analytical approaches and actionable insights
  • Develop data validation and reconciliation processes to improve trust in enterprise reporting

Data Modeling & Query Optimization

  • Write advanced T-SQL queries, views, and stored procedures optimized for performance
  • Collaborate with Data Engineering on data models and data product design
  • Optimize report performance through indexing strategies, query tuning, and model design improvements

Automation & Process Improvement

  • Automate recurring reports and analytical workflows
  • Replace manual Excel-based processes with scalable BI solutions
  • Implement quality checks and monitoring processes to reduce reporting risk

Strategic Partnership

  • Serve as analytical advisor to department leaders and executives
  • Participate in requirements gathering sessions and translate business needs into technical deliverables
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to roadmap discussions for analytics platform modernization

Mentorship & Governance

  • Mentor junior analysts on SQL, data modeling, visualization best practices, and documentation standards
  • Promote consistent definitions, KPIs, and metadata usage across departments
  • Contribute to documentation, wiki content, and data dictionary standards

Additional Responsibilities

  • Contribute to project planning and task tracking
  • Successfully manage multiple initiatives simultaneously
  • Perform other duties as required

Education and/or Experience:

  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related discipline required
  • 6+ years of progressive experience in data analysis, business intelligence, or analytics roles
  • Advanced proficiency in Microsoft SQL Server (T-SQL, stored procedures, query optimization)
  • Strong expertise in Power BI (data modeling, DAX, report design, paginated reports)
  • Experience designing dimensional data models (fact/dimension tables, star schema)
  • Proficiency in Python for data analysis (pandas, NumPy; scikit-learn a plus)
  • Experience with Azure-based data environments and modern data platforms preferred
  • Strong understanding of data quality validation, reconciliation, and governance practices
  • Familiarity with Machine Learning concepts and predictive modeling methodologies preferred
  • Experience working in Property & Casualty Insurance a must
  • Familiarity with ticketing systems used to assign and track work
  • Strong written and oral communication skills

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