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Business Analyst Sql R Python Jobs in Jupiter, FL

... business impact; - Structure and analyze massive outputs of security data from across the ... in Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ...

Evaluate potential partnerships and new business opportunities * Assist in the preparation of ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... and analytical skills * Competent skills in programming languages such as Python, R, C ... Experience with relational SQL databases Benefits * Relocation assistance available for the right ...

... and analytical skills * Competent skills in programming languages such as Python, R, C ... Experience with relational SQL databases Benefits * Relocation assistance available for the right ...

AI/ML Engineer

Juno Beach, FL

$111K - $134K/yr

Collaborate with cross-functional teams including Data Engineers, Architects, and Business Analysts ... Knowledge of SQL and database technologies (SQL Server, PostgreSQL) * Understanding of cloud ...

Data Engineer

Juno Beach, FL ยท On-site

$111K - $134K/yr

Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy * Strong ... and business needs. This range may be modified in the future. We offer comprehensive benefits ...

Business Analysis & Process Improvement * Partner with departments, Epicor and 3rd party vendors ... Utilize SQL, and Epicor reporting tools to deliver actionable insights with department needs

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Business Analyst Sql R Python information

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

As of Jun 20, 2026, the average hourly pay for business analyst sql r python in Jupiter, FL is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $34.81 and $58.08 per hour, depending on experience, location, and employer.

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.

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.
What are popular job titles related to Business Analyst Sql R Python jobs in Jupiter, FL? For Business Analyst Sql R Python jobs in Jupiter, FL, the most frequently searched job titles are:
What job categories do people searching Business Analyst Sql R Python jobs in Jupiter, FL look for? The top searched job categories for Business Analyst Sql R Python jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Business Analyst Sql R Python jobs? Cities near Jupiter, FL with the most Business Analyst Sql R Python job openings:
Infographic showing various Business Analyst Sql R Python job openings in Jupiter, FL as of June 2026, with employment types broken down into 1% As Needed, 56% Full Time, 33% Part Time, 7% Temporary, and 3% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $96,474 per year, or $46.4 per hour.
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

West Palm Beach, FL โ€ข On-site

Full-time

Posted 3 days ago


Job description

Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.