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Business Analyst Sql R Python Jobs in Portland, OR

Nike

Business Analyst

Beaverton, OR · On-site

Experience must include: • Python • SQL • Data Brix • Tableau Prep • Power Query • ... Nike.com/Careers (Job# R-84912) #LI-DNI We offer a number of accommodations to complete our ...

Adidas

Manager, Performance Management

Portland, OR · On-site

High proficiency or expertise with database, statistical and business intelligence systems, analytics tools and disciplines (e.g., Power BI, Python, R, SAS, SPSS, MicroStrategy, Tableau, SQL, Google ...

Adidas

Manager, Performance Management

Portland, OR · On-site

High proficiency or expertise with database, statistical and business intelligence systems, analytics tools and disciplines (e.g., Power BI, Python, R, SAS, SPSS, MicroStrategy, Tableau, SQL, Google ...

adidas

Manager, Performance Management

Portland, OR

High proficiency or expertise with database, statistical and business intelligence systems, analytics tools and disciplines (e.g., Power BI, Python, R, SAS, SPSS, MicroStrategy, Tableau, SQL, Google ...

Procom Services

Business Analyst

Hillsboro, OR

Application Development Project Management Quality Assurance Business/Systems Analysis ... SQL * Excellent communication and collaboration skills * Ability to quickly digest complex data

Columbia

Principal EPM Business Analyst

Portland, OR · Hybrid

As the EPM Business Analyst you will support the Enterprise Performance Management (EPM ... Ability to interpret basic code across common programming or scripting languages (e.g., Python, SQL ...

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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 10, 2026, the average hourly pay for business analyst sql r python in Portland, OR is $50.30, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $62.98 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
Business Analyst

Business Analyst

Nike

Beaverton, OR • On-site

Full-time

Re-posted 13 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

7th of 103 rated fashion retailers

Job description

Business Analyst - NIKE RETAIL SERVICES INC.- Beaverton, OR. Responsible for all of the steps involved in getting products from suppliers to customers including inventory planning and control, wastage, movement, storage, freight forwarding; plan, manage, and execute to serve marketplace demands; drive omnichannel operational excellence from order to delivery/return by guiding cross functional partners to achieve profitability and frictionless service experience; responsible for creating Ship goals and Landing estimate every month for Nike wholesale account; responsible for creating and updating Dashboards on Tableau and ThoughtSpot; collaborate with multiple teams and create new Tableau Dashboards, Teradata SQL reports and Alteryx flows to automate tedious tasks/projects to improve day-today efficiency; responsible for providing relevant and accurate data, highlighting risks and opportunities, for internal and external partners; and monitor & measure the health of the business through identifying and deploying success metrics. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY.
Must have a Master's degree in Business, Data Analytics and 2 years of experience in the job offered or in a Analyst-related occupation.
Experience must include:
• Python
• SQL
• Data Brix
• Tableau Prep
• Power Query
• Tableau Developer
• Data Visualization
• Alteryx
• ThoughtSpot Reporting
Apply at www.Nike.com/Careers (Job# R-84912)
#LI-DNI
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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