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Business Analyst Sql R Python Jobs in Jupiter, FL

Financial Systems Analyst

Stuart, FL ยท On-site

$75K - $102K/yr

Position: Financial Systems Analyst Location: Stuart, FL Description * Architect and maintain scalable financial data models and reporting frameworks to support strategic decision-making. * Design

Financial Systems Analyst

Stuart, FL

$75K - $102K/yr

Position: Financial Systems Analyst Location: Stuart, FL Description * Architect and maintain scalable financial data models and reporting frameworks to support strategic decision-making. * Design

Financial Systems Analyst

Stuart, FL ยท On-site

$75K - $102K/yr

Position: Financial Systems Analyst Location: Stuart, FL Description * Architect and maintain scalable financial data models and reporting frameworks to support strategic decision-making. * Design

Sr. Data Analyst

Juno Beach, FL ยท On-site

$84K - $106K/yr

Job#: 3047314 Job Description: Sr. Data Analyst Location: Juno Beach, Florida Role Overview We are seeking a Senior Data Analyst / Data Engineer to design, develop, and maintain enterprise data

Job#: 3049386 Job Description: Data Analyst Location: Juno Beach, Florida (Remote) Role Overview This role supports groundbreaking AI projects for a leading renewable energy developer. The position

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll

Job#: 3041941 Job Description: Technical BA Location: West Palm Beach, Florida (Onsite) Role Overview We are seeking a senior-level Business Systems Analyst to support the modernization and migration

Showing results 21-40

Business Analyst Sql R Python information

See Jupiter, FL salary details

$17

$46

$70

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

As of Sep 15, 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 is a business analyst SQL R Python?

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.

How do business analysts with 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 the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

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.

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 August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $96,474 per year, or $46.4 per hour.

Database Analyst

Palm Beach Gardens, FL โ€ข On-site

Delan Associates, Inc.
Engineering Professional Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 10 days ago


Job description

Database Analyst / Data Quality & Requirements Specialist (SQL + Excel)
We're looking for a database-focused analyst with strong SQL (PostgreSQL) skills and a sharp eye for detail. This person is naturally curious, asks "why?" before "how?", and isn't afraid to challenge assumptions to protect data integrity and improve processes. You'll manage, update, and audit databases, partner with stakeholders to gather requirements, and help ensure our data is accurate, reliable, and usable.
This is a great fit for someone who blends hands-on database skills with a business analyst mindset-someone who can independently clarify needs, translate them into data logic, and validate results end-to-end.
Key Responsibilities
โ€ข Maintain, update, and audit relational databases (PostgreSQL), ensuring accuracy, consistency, and traceability.
โ€ข Write and optimize SQL queries, including multi-table joins, aggregations, and validation checks.
โ€ข Perform data quality checks, reconcile discrepancies, and document root causes and fixes.
โ€ข Build and maintain Excel-based audit tools (pivots, lookups, Power Query as applicable) for reporting and verification.
โ€ข Partner with internal users to gather requirements, challenge unclear requests, and translate business needs into data definitions and logic.
โ€ข Create and maintain documentation: table definitions, field mappings, audit results, and change logs.
โ€ข Support process improvements and controls around data updates, permissions, and governance.
Required Qualifications
โ€ข Strong SQL experience, including PostgreSQL (or equivalent with ability to ramp quickly).
โ€ข Solid understanding of relational database fundamentals (keys, constraints, normalization concepts, data integrity).
โ€ข Demonstrated experience managing, updating, and auditing datasets/databases.
โ€ข Advanced Excel skills (filters, pivot tables, XLOOKUP/VLOOKUP, data validation; Power Query is a plus).
โ€ข Demonstrated experience performing data audits and documenting findings, remediation steps, and outcomes (repeatable + traceable work).
โ€ข Comfortable owning ambiguous requests and independently questioning stakeholders to gather requirements and confirms data definitions before building.
โ€ข Can explain logic and assumptions clearly to both technical and non-technical stakeholders.
โ€ข Shows critical thinking, asks "why," identifies risks and edge cases, and proposes better approaches rather than executing blindly.
โ€ข Proven ability to investigate inconsistencies, ask probing questions, and validate assumptions.
โ€ข Strong written and verbal communication; comfortable working directly with stakeholders.
Nice-to-Have Qualifications
โ€ข Mechanical or engineering background/familiarity (or experience supporting engineering/asset-heavy environments).
โ€ข Familiarity with AVEVA PI (PI System / PI Data Archive / PI Vision) or time-series data concepts.
โ€ข Familiarity with IBM Maximo (asset management / work orders / equipment hierarchies).
โ€ข Familiarity with AWS (RDS, S3, Athena/Glue, IAM concepts, basic cloud data patterns).
โ€ข Experience acting as a BA: independently gathering requirements, defining acceptance criteria, mapping data sources to outputs.
โ€ข Familiarity with tools like Quest (e.g., Toad) or data access/auditing tools.