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Remote Data Analyst Python Jobs in Oregon (NOW HIRING)

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and ... Experience building API data ingestion pipeline using Python in cloud service required. Knowledge ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Some development experience in at least one scripting language (Python, R, etc.) is a plus.Strong ...

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Data Consultant

$92K - $115K/yr

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... JavaScript, XML, and Python experience preferred. * Strong communication and presentation skills ...

If you're excited to turn analytics into impact and influence meaningful decisions, 360training is ... This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ...

Data Systems Analyst

$90K - $120K/yr

Job Summary The Data Systems Analyst leads the integration of various healthcare payer data and ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency $90 ...

Analyze healthcare payer data patterns, perform data profiling, and define transformation and ... Write, maintain, and unit-test data conversion code (Python, SQL) based on documented ...

... data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United States. This role requires 100% of work to be performed in a remote office ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

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Remote Data Analyst Python information

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What job categories do people searching Remote Data Analyst Python jobs in Oregon look for? The top searched job categories for Remote Data Analyst Python jobs in Oregon are:
Senior Data Engineer

$105K - $150K/yr

Other

Re-posted 10 days ago


WellBe Senior Medical rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary

As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.

Job Description

SKILLS & COMPETENCIES

Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data pipeline strategy, aligning it with business objectives and ensuring data governance principles are followed. Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics. Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations. Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy. Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems. Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resources Stay updated with the latest technologies and trends in data analytics and engineering.

Job Requirements

Educational/Experience Requirements:

Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred. 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities. 3 years of experience in health care and health plan data analysis experience preferred. Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud. Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required. Experience with CI/CD Terraform or DevOps required. Snowflake data processing with Tasks and Procedures, DBT and GIT experience required. Experience building API data ingestion pipeline using Python in cloud service required. Knowledge of machine learning concepts and algorithms is a plus Strong leadership and team management skills, with the ability to motivate and develop team members. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Required Skills and Abilities: Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability. Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities. Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization. Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation. Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities. Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation. Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications. Implement best practices for data governance and ensure data security and compliance. Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus. Strong sense of ownership, bias for action, and drive Strong verbal and written communication Excellent analytical and problem-solving skills Strong work ethic and attention to detail

Physical and Mental Requirements Ability to stand/sit for extended periods. Visual acuity and fine motor skills. Ability to travel as needed.

Work Environment Remote Travel may be required up to 15% locally or nationally

Pay Transparency

$105,000 - $150,000 based on experience

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.

Drug Screening Requirement:As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. Ongoing employment may also be contingent upon compliance with the company's Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing. The company reserves the right to test for substances that may impair an employee's ability to safely and effectively perform their job duties.

Background Check StatementEmployment is contingent upon successful completion of a background check, as permitted by law. As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees. Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.

Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.

Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. If you require an accommodation during the application, interview or employment process, please contact Human Resources at HRPeopleLine@wellbe.com

At-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.

DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Employment Type: OTHER

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