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Business Analyst Sql R Python Jobs (NOW HIRING)

Proficient in advanced data analysis tools such as PowerBI Tableau, SQL, R, Python; Microsoft office programs including advanced skills in Excel, PowerPoint, Outlook and all other Microsoft Office ...

Proficient in advanced data analysis tools such as PowerBI Tableau, SQL, R, Python; Microsoft office programs including advanced skills in Excel, PowerPoint, Outlook and all other Microsoft Office ...

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

Sr. Healthcare Data Analyst

Sacramento, CA ยท Remote

$93.70K - $118.20K/yr

Advanced coding proficiency in SAS, SQL, R, Python, or similar languages is a must. Key ... Some positions may require operating a motor vehicle for business purposes; in such cases ...

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

As of May 30, 2026, the average hourly pay for business analyst sql r python in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

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 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.
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Business Analyst

Business Analyst

Crane Company

The Woodlands, TX โ€ข On-site

Full-time

Posted 15 days ago


Job description

Business Unit and Position Summary:
About Crane
Crane Co. is a diversified manufacturer of highly engineered industrial products. Founded in 1855, Crane provides products and solutions to customers in the aerospace, electronics, hydrocarbon processing, petrochemical, chemical, power generation, automated merchandising, transportation and other markets. The Company has four business segments: Aerospace & Electronics, Engineered Materials, Merchandising Systems, and Fluid Handling. Crane has approximately 11,000 employees in North America, South America, Europe, Asia and Australia. Crane Co. is traded on the New York Stock Exchange (NYSE:CR) www.craneco.com
About CRANE ChemPharma & Energy
CRANE ChemPharma & Energy (within Crane's Fluid Handling segment) designs and manufactures a variety of high performance products including: highly engineered check valves, sleeved plug valves, lined valves, process ball valves, high performance butterfly valves, bellows sealed globe valves, aseptic and industrial diaphragm valves, multi/quarter-turn valves, actuation, sight glasses, lined pipe, fittings and hoses, and air operated diaphragm and peristaltic pumps. Its trusted brands (in alphabetical order) ALOYCOยฎ, CENTER LINEยฎ, COMPAC-NOZยฎ, CRANEยฎ, DEPAยฎ, DUO-CHEKยฎ, ELROยฎ, FLOWSEALยฎ, JENKINSยฎ, KROMBACHยฎ, NOZ-CHEKยฎ, PACIFIC VALVESยฎ, RESISTOFLEXยฎ, REVOยฎ, SAUNDERSยฎ, STOCKHAMยฎ, TRIANGLEยฎ, UNI-CHEKยฎ, VALVESยฎ, WTAยฎ, and XOMOXยฎ offer customers complete and innovative product portfolio designed for the most demanding corrosive, erosive, and high purity applications. Among the industries served are the chemical processing, biotechnology, pharmaceutical, oil & gas, refining, and power generation.
Position Summary
This is a great opportunity to join an exciting business with high growth potential for the right candidate. This role will assist with research and analysis required to inform the strategic planning, operational planning and forecasts for the business including but not limited to market mapping, competitive assessments, value chain mapping, trend analysis for key performance metrics such as a sales, orders, pricing, share gain, attrition, profitability etc. The Business Analyst will not only be responsible for data analysis but also interpretation and visualization of the data using sophisticated tools to inform key business decisions and presentations to senior management.
www.craneco.com
Main Duties:
Analyses product line data for key performance indicators including but not limited to orders, sales, backlog, pricing, share gain, attrition and profitability and distils them into actionable insights informing business decisions. Effectively communicate insights through charts, tables, and other elements for data visualization to report to senior leadership. Assists business line manager in developing and implementing strategic plan, operational plan, monthly and quarterly forecasts, pricing strategies in line with market opportunities. Support development of market trends & competitive analysis, identifying areas or opportunities for growth. Support cross-functional team in improving and maintaining product configuration databases. Review business models and inventory stock health, suggesting paths for optimization. Develops data analytics to support discussions with customer, sales and marketing personnel, cross-functional departments and customers regarding sales and orders.
The preceding functions have been provided as examples of the types of work performed by employees assigned to this job classification. Management reserves the right to add, modify, change or rescind work assignments and to make reasonable accommodations as needed.
Essential Qualifications / Experience:
Experience/Training/Education:
Required: Bachelor's degree in a technical field such as Mechanical Engineering / Chemical Engineering with experience in Data Analytics in applicable field or industry, ideally in Refining, Chemical, or Industrial applications.
Preference: MBA, MS in Business Analysis, MS in Data Science, or equivalent experience preferred.
Knowledge of:
Basic design and manufacturing principals, Bills of Material, marketing and sales principles, methods and practices; applications and sales territories; technical product applications and documentations; customer service principles, practices and procedures.
Skills:
Proficient in advanced data analysis tools such as PowerBI Tableau, SQL, R, Python; Microsoft office programs including advanced skills in Excel, PowerPoint, Outlook and all other Microsoft Office tools. Must have the writing and oral skills to be able to prepare high quality reports and present complex ideas in front of customers and management in English.
Ability to:
Identify market and customer needs and make recommendations; research pricing, shipping and discounting terms and conditions by product line and account; exercise initiative in independently researching and resolving inquiries and problems; prepare clear and concise business correspondence; organize, assign and coordinate work to meet scheduled deadlines including preparation of samples and test reports; make mathematical computations quickly and accurately; understand and follow written and verbal instructions; communicate and work cooperatively with co-workers, departmental representatives, sales representatives, management, customers and vendors. Analyze data for trends on business to develop and present insights to leadership team.
Special Requirements:
May be required to travel up to 25% on company business to interact with customers.
This position is not eligible for visa sponsorship.
#LI-VD1
#CPE
This description has been designed to indicate the general nature and level of work being performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
Crane Company. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, sexual orientation, general identity, national origin, disability or veteran status.

Crane AI logo

About Crane AI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2017