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Business Analyst Sql R Python Jobs in Oceanside, NY

Clark Davis Associates

Business Analyst

New York, NY · On-site

Business Analyst - NYC The Business Analyst role examines, determines and evaluates informational ... Use proven knowledge of specialized reporting tools, Teradata, SQL, and database techniques to ...

Kanak Elite Services Inc

Business Analyst

Brooklyn, NY · On-site

Business Analyst Location : Brooklyn, NY Hybrid Duration : Long term contract DUTIES WILL INCLUDE ... Advanced SQL query skills and understanding of relational database principles. * Hands-on knowledge ...

Dow Jones

Senior Analyst, People Insights

New York, NY · Hybrid

$96K - $127K/yr

Experience using SQL, R, Python for data extraction & manipulation * Familiarity with Workday HCM ... Business Area: Dow Jones - People Job Category: Data Analytics/Warehousing & Business Intelligence ...

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Tekmindsystems

Business Analyst

Manhattan, NY · On-site

Business Analyst (3-5 Years Experience) Location: Onsite Employment Type: Contact Job Summary We ... Proficiency in tools like Excel, SQL, Power BI/Tableau, or similar * Familiarity with Agile/Scrum ...

Artius Solutions

Business Analyst

New York, NY · On-site

Business Analyst - Regulatory & Technology Projects (Financial Services) Location: NYC or Tri-State ... Experience with tools like JIRA , Confluence , Excel , and SQL * Comfortable in stakeholder-facing ...

Noblesoft Technologies

Business Analyst

New York, NY · On-site

SQL knowledge for data validation and analysis * CBAP, CCBA, or PMI-PBA certification * Experience working in state or public sector projects Education * Bachelor's degree in Business Administration ...

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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 Jul 14, 2026, the average hourly pay for business analyst sql r python in Oceanside, NY is $48.95, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $61.25 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.
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Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Oceanside, NY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $101,811 per year, or $48.9 per hour.

Business Analyst, Data & AI

Cantor Fitzgerald Securities

Manhattan, NY

$170K - $190K/yr

Full-time

Posted 26 days ago

Job description

This role sits within an AI transformation team focused on modernizing Shared Services,including Operations, Legal, Compliance, etc., through data, analytics, and emerging technologies. The Business Analyst will play a key role in identifying opportunities, translating business needs into data-driven solutions, and supporting the delivery of AI-enabled capabilities across the organization. This position requires a highly analytical, business-friendly individual who can bridge technical data concepts with practical business applications.

Cantor Fitzgerald L.P., with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. 

Cantor Fitzgerald & Co. is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm's financial acumen and technology prowess, Cantor's portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. For 79 years, Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world.

As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed.
  • 3-7+ years of experience as a Business Analyst, with a strong focus on data and analytics.
  • Hands-on expertise in data analysis tools like SQL, Power BI, or Python.
  • Familiarity with data governance principles and best practices.
  • Strong analytical skills and a proactive, adaptable mindset.
  • Excellent communication abilities to engage with diverse stakeholders.
  • Experience in financial services is preferred.
  • Demonstrated hands-on experience with AI, machine learning, or advanced analytics use cases.
  • Ability to learn quickly and operate across diverse business areas.
  • A self-starter attitude with a passion for driving innovation through data and AI.
    Salary
    $170,000-$190,000
    #LI-JM22
  • Identify and prioritize high-impact opportunities for data-driven improvements and AI use cases across Shared Services.
  • Translate business requirements into data-centric solutions, aligning with transformation goals.
  • Perform data analysis using SQL, Python, or similar tools to generate insights for AI model development.
  • Support the design and implementation of dashboards, reporting frameworks, and data models.
  • Contribute to data governance initiatives, ensuring data quality and reliability for AI solutions.
  • Collaborate with technology and product teams to deliver scalable, AI-driven solutions.
  • Communicate complex concepts and recommendations to both technical and non-technical stakeholders.
  • Participate in the design and testing of AI and machine learning solutions for operational efficiency.
  • Quickly adapt to new domains and flexibly contribute to evolving priorities across initiatives.

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