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Business Analyst Sql R Python Jobs in New Port Richey, FL

Sonsoft Inc

Business Analyst (Market Risk

Tampa, FL · On-site

Excellent SQL Skills. * Experience in defining data base objects such as Tables, Trigger, Primary keys, constraints, foreign keys etc. * Expertise in data analysis using Excel (Vlookup, pivot tables ...

Stefanini

IT Business Analyst

Tampa, FL

SQL Server, SSAS, SSRS, SSIS, SharePoint,, .NET (for any architects) * Strong business analysis skills, facilitation skills and a thorough understanding of analysis deliverables (including UML ...

Sonsoft Inc

Business Analyst (Market Risk

Tampa, FL · On-site

Excellent SQL Skills. * Experience in defining data base objects such as Tables, Trigger, Primary keys, constraints, foreign keys etc. * Expertise in data analysis using Excel (Vlookup, pivot tables ...

ManTech International

Data Analyst

Tampa, FL · On-site

... mission and business functions and tasks. Responsibilities include but are not limited to ... using languages such as R, Python, SQL or JavaScript * Using data solutions, tools, and ...

Booz Allen Hamilton

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

... languages such as SQL, Python, R, and Micro sof t Office Suite. * Establish quantitative and ... Work with us to help drive large-scale business and process decisions through data insights. Join ...

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All JobsBusiness Analyst Sql R Python JobsBusiness Analyst Sql R Python Jobs in New Port Richey, FL

Business Analyst Sql R Python information

See New Port Richey, FL salary details

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How much do business analyst sql r python jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for business analyst sql r python in New Port Richey, FL is $42.25, according to ZipRecruiter salary data. Most workers in this role earn between $31.68 and $52.88 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What job categories do people searching Business Analyst Sql R Python jobs in New Port Richey, FL look for? The top searched job categories for Business Analyst Sql R Python jobs in New Port Richey, FL are:
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Business Analyst Sql R Python jobs near you

Consumer Lending Business Analyst

Suncoast Credit Union Careers

Tampa, FL • Hybrid

$62K - $92K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Overview

Compensation: $62,000 - $92,000 based on experience and credentials

Location Type:Hybrid 

Time Type: Full-Time

The Consumer Lending Business Analyst (CLBA) serves as a critical liaison between business units and the data analytics team. Equipped with deep domain expertise, the CLBA excels at interpreting and translating business needs into clear, actionable requirements for data analysts. They ensure that analytical outputs directly align with strategic business objectives, ultimately delivering valuable, relevant insights that enable informed decision-making for stakeholders across the organization. This role requires an individual with strong analytical skills, expertise in data reporting, and a deep understanding of consumer lending processes and trends.

Responsibilities
  • Understand and maintain detailed knowledge of Consumer Lending
  • Collect, analyze, and interpret data to identify trends, patterns, and insights
  • Define and track key performance indicators (KPIs), key risk indicators (KRIs), and other business metrics
  • Develop and maintain comprehensive reports and dashboards that provide actionable insights to various stakeholders
  • Ensure data accuracy and integrity by performing regular data validation and quality checks
  • Collaborate with cross-functional teams to understand business needs and objectives
  • Provide data-driven recommendations to improve consumer lending strategies and operations
  • Identify opportunities for process improvements and efficiencies within the consumer lending lifecycle
  • Work closely with leadership to communicate findings and insights
  • Present complex data and analysis in a clear and concise manner to support decision-making processes
  • Act as a liaison between technical teams and business units to ensure alignment and understanding of data requirements
  • Utilize advanced analytical tools and software (e.g., SQL, Excel, Power BI) to analyze data and generate reports
  • Stay up-to-date with industry trends and best practices in data analysis and reporting
  • Leverage statistical methods and predictive analytics to provide deeper insights into consumer lending behaviors and outcomes
  • 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 Business Administration, Data Science, or a related field (Master's degree preferred)
  • 3+ years of experience in data analysis, business analysis, or a related field, preferably within the financial services industry
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets
  • Proficiency in data analysis tools and software (e.g., SQL, Databricks, Excel, Power BI)
  • Experience with statistical analysis and predictive modeling preferred
  • Ability to prioritize tasks by effectively managing competing and changing priorities to meet deadlines
  • Accurate, detail-oriented, and organized with task management
  • Ability to analyze and resolve difficult and often complex problems or situations
  • Strong written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
  • Strong knowledge and understanding of credit union products, services, policies, and procedures
  • Strong knowledge and understanding of regulatory compliance
  • Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties

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. Chartered in 1934.

For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Employment Type: FULL_TIME

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