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Business Analyst Sql R Python Jobs in Beaverton, OR

Hp

Industry Analyst

Vancouver, WA

$140K - $180K/yr

Proactive in developing thought provoking and business impacting market trend analyses * Use ... Background in statistical modelling tools (R, Python etc.) and familiarity with SQL a plus

Nike

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Design, develop, and implement new decision support solutions that help the business leverage data ... Nike.com/Careers (Job# R-84913) #LI-DNI We offer a number of accommodations to complete our ...

Stantec

Transportation Analyst (Modeling)

Portland, OR · On-site

Experience with data analysis using Python, R, SQL, or MATLAB. * Experience with transportation software such as VISSIM, Cube, TransCAD, VISUM, HCS, Synchro, or Legion. * Experience working with ...

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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 Beaverton, OR is $49.35, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $61.78 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 - Non-Profit Social Services

Data Analyst - Non-Profit Social Services

Transition Projects

Portland, OR • On-site

$72K - $83K/yr

Full-time

Re-posted 3 days ago

Job description

POSITION DESCRIPTION
Position: Data Analyst
Supervisor: Director of Public Policy and Funding
Location: Bud Clark Commons; 665 NW Hoyt St
Hours: Monday - Friday
Starting Salary: $72,800-$83,200 DOE
Classification: Exempt, Unrepresented, Full-Time, Benefits Eligible
GENERAL RESPONSIBILITIES
The Data Analyst is responsible for coordinating the workload of the Information Services team, serving as a project lead, serving as the reporting and data liaison to partner agencies, triaging help desk items, and is responsible for coordinating the training of IS team members. The Data Analyst is responsible for developing key performance indicators, overseeing data collection, and report preparation and submission. Provide accurate and on-time reporting for internal programs and external reporting to funders. Provide technical support to staff using data systems. Ensure data integrity, run routine reports and create new reports as needs arise. Focus of duties may be adjusted at any time.
Data Reporting and Analysis Responsibilities:
  1. Manage the data team.
  2. Oversee staff training on Homeless Management Information Systems (HMIS) database.
  3. Submit timely reports to external funders.
  4. Serve as the data and reporting liaison to partner agencies.
  5. Create reports for internal teams.
  6. Establish key performance indicators.
  7. Structure large data sets to find usable information.
  8. Run and distribute reports..
  9. Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
  10. Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  11. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.

PERFORMANCE REQUIREMENTS
Each Transition Projects employee must:
  1. Acquire First Aid/CPR/AED certification within 30 days of hire and be retested biannually thereafter throughout employment.
  2. Complete Bloodborne Pathogens and Narcan Training within 30 days of hire and be retested annually thereafter throughout employment.
  3. Demonstrate reliability by being present for work as scheduled, arriving and leaving on time and taking breaks in expected time frames.
  4. Interact effectively with persons of diverse ethnic backgrounds, religious views, cultural backgrounds, and sexual orientations and treat each individual with respect and dignity.
  5. Attend agency and program staff meetings.

PHYSICAL/MENTAL REQUIREMENTS
The physical and mental demands described here are representative of those that must be met by an employee, with or without accommodation, to successfully perform the essential functions of this job.
  1. Hearing and vision adequate for interaction with participants, interaction with staff and interaction with the general public.
  2. Hearing adequate for telephone work. Vision adequate for close work.
  3. Hand and finger dexterity adequate to operate standard office equipment.
  4. Ability to walk, bend, stand, sit, reach, stoop, pull, squat, and climb stairs and ladders.
  5. Sitting at a desk completing paperwork and working on a computer for lengthy periods.
  6. Mobility to allow responsive traveling to participant residences located around the metro area.
  7. Ability to perform CPR and other emergency life-saving care with the assistance of teammates until emergency responders arrive.
  8. Ability to lift up to 50 pounds

MINIMUM QUALIFICATIONS
The right individual for this position has a passion for helping others, is nonjudgmental, and is able to deal with difficult situations in positive and constructive ways.
  1. Bachelor's degree in Accounting, Computer Science, Computer Information Systems, Information Technology, Data Analytics, Information Systems, or a related field, and at least two (2) years of experience in data analysis, reporting, business intelligence, data management, or a related field; OR three (3) to five (5) years of progressively responsible experience in a similar role.
  2. 2+ years experience with programming languages such as R, Python, SQL, or Oracle preferred.
  3. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases
  4. Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.
  5. Training or experience in data analysis and data-based report generation.
  6. Experience cleaning and preparing data.
  7. Experience developing reports and dashboards.
  8. Demonstrated ability to work independently. Ability to appropriately assess a situation and take corrective action as necessary.
  9. Demonstrated ability to work as part of a team in the delivery of services to clients.
  10. Excellent computer skills. Demonstrated ability to use word processing, database, spreadsheet, email, and Internet programs, as well as familiarity with various reporting tools and technologies (SQL and advanced Excel skills highly desirable).
  11. Excellent oral and written communication skills.
  12. Good interpersonal relationship skills.
  13. Basic understanding of the issues surrounding homelessness, chemical dependency, mental health, domestic violence and sexual assault.
  14. Experience working with homeless/low-income population preferred but not required.

Transition Projects, Inc. is an equal opportunity employer and does not discriminate on the basis of race, color, religion, age, gender, sexual orientation, ancestry, national origin, citizenship, marital status, familial status, physical or mental disability, veteran status, genetic information, source of income, union participation or activities, or any other status legally protected by applicable local, state or federal law.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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