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Remote Data Analyst Python Jobs in Von Ormy, TX (NOW HIRING)

USAA

Business Strategy Analyst Mid-Level

San Antonio, TX · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Experience performing data analysis using: Microsoft excel, Tableau, Snowflake,SQLand SAS (Python a ...

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Experience using Python, JavaScript, and VBA to develop custom data processing or automation tasks;

ASM Research

Data Engineer Journeyman

San Antonio, TX · On-site +1

$103K - $124K/yr

This position collaborates with cross-functional teams--including data scientists, analysts, and ... Willingness and ability to work effectively in a remote, distributed team environment supporting ...

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Remote Data Analyst Python information

See Von Ormy, TX salary details

$30.9K

$75.1K

$123.6K

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

As of Jul 31, 2026, the average yearly pay for remote data analyst python in Von Ormy, TX is $75,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 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 Von Ormy, TX are hiring for Remote Data Analyst Python jobs? Cities near Von Ormy, TX with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you

Senior Data Analyst - Marketing Analytics & Digital Insights (Remote)

Vericast

San Antonio, TX • On-site, Remote

$110K - $140K/yr

Full-time

Posted 14 days ago

Vericast rating

7.5

Company rating: 7.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

19th of 50 rated marketing agency

Job description

Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.
Job Description
We are seeking an experienced Senior Data Analyst to join our Insights and Analytics team, where you will transform complex data into strategic insights that drive marketing effectiveness and business growth for financial institutions. This role combines analytical excellence with business acumen to optimize marketing investments, enhance digital customer experiences, and inform data-driven decision-making across the organization. As a key member of our team, you'll work at the intersection of marketing science, digital analytics, and financial services expertise, delivering actionable insights that directly impact campaign performance, customer engagement, and ROI optimization.
KEY DUTIES/RESPONSIBILITIES
Strategic Analysis & Insights: Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities; Design measurement frameworks and learning agendas that align with business strategies and marketing objectives; Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels; Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions (30%)
Digital & Marketing Analytics: Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities; Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels; Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences; Leverage tag management systems to ensure accurate data capture and tracking implementation (30%)
Data Visualization & Communication: Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker; Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams; Present strategic recommendations that drive action and influence stakeholder decisions; Create automated reporting solutions providing real-time visibility into marketing performance and KPIs (20%)
Collaboration & Project Management: Partner with cross-functional teams including Product,
Engineering and Strategy to deliver integrated insights; Manage multiple concurrent analytical
projects ensuring timely, high-quality delivery; Collaborate with teams to improve digital customer
journeys and campaign effectiveness based on data insights (20%)
Qualifications
EDUCATION
Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field
Master's degree preferred
EXPERIENCE
5-9 years of progressive experience in data analysis, marketing analytics, or advanced analytics roles
Proven experience in financial services industry or working with financial institutions required
Track record of delivering impactful insights that influenced strategic business decisions
KNOWLEDGE/SKILLS/ABILITIES
Analytics Platforms: Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms
Programming & Analysis: Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation
Data Visualization: Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards
Database Technologies: Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred
Marketing Technology: Familiarity with marketing automation platforms, CRM systems, and tag management implementation
Additional Information
Base salary: $110,000-$140,000
*Applications will be accepted through August 17, 2026, after which the posting will be closed and no longer available for submissions.*
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.
At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.
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