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Remote Data Analyst Python Jobs in Eagle Pass, TX

This is a high-leverage analytics role focused on product analytics, experimentation, and causal ... Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer ...

Senior Data Product Manager

Crystal City, TX · On-site +1

$110K - $145K/yr

Leads collaboration with a cross-functional team of data engineers, analytics engineers, BI ... remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore ...

Remote Data Analyst Python information

See Eagle Pass, TX salary details

$35.1K

$85.3K

$140.3K

How much do remote data analyst python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analyst python in Eagle Pass, TX is $85,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $100,100.00 per year, depending on experience, location, and employer.

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 cities near Eagle Pass, TX are hiring for Remote Data Analyst Python jobs? Cities near Eagle Pass, TX with the most Remote Data Analyst Python job openings:
Data Scientist II

Data Scientist II

2U

Crystal City, TX • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

At 2U, we are all in on purpose. We are motivated by our mission - to make learning limitless- and connected by our shared passion to deliver world-class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of  higher education offerings - from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives. 

What We're Looking For:

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive insight and decision-making for edX.org, 2U's open online learning marketplace. 

This is a high-leverage analytics role focused on product analytics, experimentation, and causal inference on large, complex behavioral datasets. We are looking for someone who is excited by ambiguous business problems, can triage a high volume of stakeholder requests and match each one to an appropriate level of rigor, and is skilled at turning messy data into clear, actionable insight. 

The ideal candidate is intellectually curious, takes the initiative to understand the domain and refine the question behind the question, and communicates complex findings in ways that educate and enable stakeholders.

Responsibilities Include, But Are Not Limited To:

  • Product analytics and ad hoc analysis Serve as the analytics partner for Product, Marketing, and Finance teams on edX.org, delivering funnel, cohort, retention, and segmentation work. Triage a high volume of incoming requests and match the depth of each response to the decision at hand, from back-of-the-envelope estimates to deeper investigations.
  • Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control.
  • Metric definition and self-serve enablement Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests.
  • Data modeling and validation Partner with Data Engineering to keep upstream sources trustworthy. Contribute to dbt models, lead EDA on unfamiliar datasets, and add checks that catch quality issues before they reach dashboards or partners.
  • Applied machine learning Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver.
  • Domain learning and stakeholder education Develop a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn complex findings into actionable recommendations.

Things That Should Be In Your Background:

  • Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar). Graduate degree preferred.
  • Professional Experience: 3-5 years in data science, product analytics, or a related quantitative role
  • Communication: Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say.
  • Statistics & data rigor: Solid foundation in hypothesis testing, power analysis, confidence intervals, and multiple comparisons, plus strong EDA and validation skills on unfamiliar data
  • Experimentation & causal inference: Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn't possible (e.g., difference-in-differences, propensity scoring, regression discontinuity, synthetic control). Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, Optimizely, LaunchDarkly).
  • Product analytics & domain: Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace product
  • Programming & data: Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer exposure to large-scale data platforms (e.g., Snowflake, BigQuery, Databricks, Spark).

While this position is open to remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore metropolitan area and who are available to come into our Headquarters in Arlington, VA two days a week.

Benefits & Culture

Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you're excited by the opportunity to provide millions of learners and counting with access to world-class higher education, then join us - and do work that makes a difference. 

We offer comprehensive benefits (unique per country) and excellent work/life balance.
Full-time, U.S.benefits include: 

Medical, dental, and vision coverage

Life insurance, disability, and 401(k) employer match

Free snacks and drinks in-office

Generous paid holidays and leave policies, including unlimited PTO

Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break

The anticipated base salary range for this role is ($107,300 - $124,200), with potential bonus eligibility.  Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired.

2U Diversity and Inclusion Statement

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we've taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: recruitingaccommodations@2u.com. 

About 2U

2U partners with the world's top universities and companies to develop and deliver education programs that accelerate careers and transform lives. Through partnerships with the world's leading colleges, universities, and companies, 2U delivers thousands of online programs to millions of learners worldwide on edX, its global learning platform. From executive education and professional credentialing to master's degree programs and free, open courses, 2U transforms how top institutions deliver workforce-aligned online education, enabling professionals to advance without pausing their careers. Learn more at 2U.com.

The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.

2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans' status, or any other classifications protected by applicable federal, state or local laws. 2U's equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.