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Senior Python Data Analysis Jobs in Napa, CA (NOW HIRING)

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python) * Experience using AI tools ...

Air Apps

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

... in Python or R for data analysis. * Knowledge of A/B testing methodologies and statistical analysis. * Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools

Doximity

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Play a key role in creating both product and client-facing analytics. * Inform data team strategy ... Proficient in Python and well versed in object-oriented programming concepts as it relates to data ...

New

Doximity

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Play a key role in creating both product and client-facing analytics. * Inform data team strategy ... Proficient in Python and well versed in object-oriented programming concepts as it relates to data ...

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$114K - $190K/yr

... Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will ... Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop ...

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$101K - $127K/yr

Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop ... Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Napa, CA

Senior Python Data Analysis information

See Napa, CA salary details

$62.3K

$160.9K

$221K

How much do senior python data analysis jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior python data analysis in Napa, CA is $160,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,700.00 and $185,300.00 per year, depending on experience, location, and employer.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What job categories do people searching Senior Python Data Analysis jobs in Napa, CA look for?

The top searched job categories for Senior Python Data Analysis jobs in Napa, CA are:

What cities near Napa, CA are hiring for Senior Python Data Analysis jobs?

Cities near Napa, CA with the most Senior Python Data Analysis job openings:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Napa, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $160,926 per year, or $77.4 per hour.

Data Analyst

San Francisco, CA • On-site

Cardless, Inc
Software Development • 11 - 50 employees
Learn more about Cardless, Incexternal

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll work across domains including applications, accounts, transactions, fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the reliability, accuracy, and efficiency of our core systems and business workflows.
As an analyst at Cardless, you'll dive deep into data, identify opportunities, streamline operational processes, and collaborate closely with cross-functional teams to deliver insights and durable improvements to our platform.
Responsibilities
  • Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights
  • Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance
  • Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies
  • Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)
  • Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation
  • Support forecasting, business reviews, and strategic planning with clear, data-driven analysis
  • Contribute to improving data quality, documentation, and analytical rigor across the organization
  • For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions
Requirements
  • 3-7 years of experience in an analytical, operations, strategy, or data-focused role
  • Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
  • Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
  • Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)
  • Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)
  • Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems
  • Excellent communication skills - able to translate complex analysis into clear insights for technical and non-technical partners
  • Track record of collaborating effectively with product, engineering, or operations teams
  • Ability to manage multiple priorities, take ownership, and drive projects end-to-end
  • Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes
  • Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Nice to have
  • Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges
  • Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Why Cardless
You'll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We're building products that enable leading brands to offer credit in new ways - and we're just getting started.
This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.
Benefits
We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:
Meaningful Start-up equity
100% health, vision & dental primary coverage
+ 75% health, vision & dental dependent coverage
Catered lunches
$250/month Commuter benefit
Parental leave
Team building events & happy hours
Flexible PTO with a minimum of 15 days off per year
Apple equipment
401k plan
Location
We're headquartered in San Francisco, CA, with a beautiful office in Jackson Square. We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.
We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.

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