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Business Analyst Sql R Python Jobs in Rochester, NY

Experience using Python or R for analytics or automation. * Experience working within a team, and ... Translate business questions into structured analytical approaches and clearly communicate findings ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Analyst, Growth

Rochester, NY · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... B2B industries is a plus * Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL

Analyst, Growth

Geneseo, NY · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... B2B industries is a plus * Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... With your growing knowledge of how business works, you play an important role in identifying ...

PROGRAMMER

Batavia, NY · On-site

$60K - $70K/yr

Analyze business processes and identify opportunities for automation and improvement * Troubleshoot ... Basic knowledge of programming languages such as SQL, C#, Java, Python, or similar * Understanding ...

PROGRAMMER

Batavia, NY · On-site

$60K - $70K/yr

Analyze business processes and identify opportunities for automation and improvement * Troubleshoot ... Basic knowledge of programming languages such as SQL, C#, Java, Python, or similar * Understanding ...

Data Analysis Tutor

Rochester, NY · Remote

$18 - $40/hr

... business recommendations. Adapts instruction using Excel, Google Sheets, SQL platforms, and ... intermediate analysts building professional data analysis capabilities. * Effective Teaching ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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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 13, 2026, the average hourly pay for business analyst sql r python in Rochester, NY is $46.80, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $58.61 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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Data Analyst 2

$71K/yr

Full-time

Re-posted 23 days ago


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

Job Summary:

Collects, analyzes, and interprets operational data to improve distribution performance and support data-driven decision-making. Focuses on executing well-defined analytic work with growing autonomy. This involves creating new analyses, and dashboards, or updating more complex dashboards/reporting. The role develops reports, KPIs, dashboards, and analytical tools using SQL and data visualization platforms such as Tableau or Power BI. This position collaborates closely with management and business partners to define analytical requirements, recommend solutions, and communicate insights to both technical and non-technical audiences. Strong analytical reasoning, data storytelling, and attention to data quality are essential. This role provides mentorship to junior analysts.

Knowledge, Skills and Abilities:

Required:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Computer Science, Math, Cyber Security, Information Technology, etc.), or 5+ years of relevant experience.
  • Relevant experience with Tableau or PowerBI required.
  • Preferred experience in a warehouse setting or manufacturing.
  • 1-3+ years of experience in SQL, including queries, joins, transformations, and data aggregation.
  • 1-3+ years of experience with Tableau Desktop, PowerBI, or equivalent data visualization tools.
  • Entry-level to moderate experience performing data analysis and reporting, and utilizing analytical and problem-solving skills.
  • Working knowledge of data warehousing concepts, data modeling, and ETL processes.
  • Proficiency in Microsoft Office tools, including Excel and SharePoint.
  • Ability to follow standardized processes related to project management, data governance, and IT security.
  • Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.

Preferred:

  • Experience with Snowflake, Microsoft SQL Server Management Studio (SSMS), Oracle GoldenGate, DBeaver, etc.
  • Experience with Tableau Prep, Alteryx, or similar data preparation tools.
  • Experience using Python or R for analytics or automation.
  • Experience working within a team, and with other teams or departments.

Work Environment:

  • Normal warehouse and office environment with some exposure to dust, heat, and cold.
  • May include prolonged sitting in front of a computer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $71,971.00 and $ 95,961.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

  • Collect, cleanse, transform, and analyze large operational datasets to identify trends, risks, and opportunities for improvement. 
  • Develop, enhance, and maintain dashboards, reports, and visualizations using Tableau Desktop or similar tools. 
  • Apply statistical and analytical techniques to perform descriptive, diagnostic, and trend-based analysis. 
  • Translate business questions into structured analytical approaches and clearly communicate findings and recommendations. 
  • Validate and quality-check data sources, queries, and visualizations to ensure accuracy, consistency, and reliability. 
  • Partner with cross-functional teams to understand operational needs and deliver analytical solutions aligned with business priorities. 
  • Support the implementation of improved reporting methodologies, automation, or analytical tools. 
  • Maintain documentation and adhere to established departmental, IT, and project management standards. 
  • Prioritize and manage multiple analytical requests in alignment with business objectives and timelines. 
  • The role progresses through impact, autonomy, and analytical complexity, as well as ability to handle sensitive information. 

Travel: 

Occasional travel may be required (5-10%+ annually). This is an on-site position requiring daily in-office attendance Monday through Friday, and as needed.