ZipRecruiter

Log In

1

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

Menlo Ventures

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Proficiency in data analysis and visualization using tools such as R and Python. * Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL. * BS/MS/PhD in ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

What you'll do Data Strategy, Analysis & Management * Frame, design, execute and interpret ML-based ... Proficiency in Python, SQL, and R. * Hands-on experience with batch processing (e.g., Spark) and ...

Brex

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Experience with Python for data analysis, automation, or scripting. * Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar). * Strong quantitative and ...

Kaav Inc

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

You will collaborate with cross-functional teams to enable operational data analysis, enhance ... Python, Java) * Strong understanding of SQL (e.g. Redshift, Snowflake, RDS) and NoSQL databases (e ...

Adobe

Senior Data Analyst, Adobe Stock

San Francisco, CA · On-site

$226K/yr

Proficiency with Python for data analysis and modeling * Experience with Databricks or similar cloud-based data analytics platforms * Strong data modeling skills with ability to build reusable data ...

previous page

Showing results 41-60

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 Aug 14, 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 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 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 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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,926 per year, or $77.4 per hour.

Senior Data Scientist

Menlo Ventures

San Francisco, CA • On-site

$123.20 - $218/hr

Other

Posted 8 days ago

Job description

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by solving product and business challenges.

Impact you will have
  • Shape the direction of key data science areas for 2020 – usage forecasting, product analytics, user behavior, and funnel analysis.
  • Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
  • Manage stakeholders for their focus area – gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non‑technical audience.
  • Mentor and guide data‑scientists on the team on project planning, technical decisions, and code and document review.
  • Build self‑serving internal data products to make data simple within the company.
What we look for
  • Experience in applying Data Science / ML in production to build data‑driven products for solving business problems.
  • Familiarity with Product Analytics – understanding and tracking customer and user behavior using lenses such as adoption, churn, cohorts, and funnel analysis.
  • Experience collaborating with stakeholders across business functions, especially Product, Customer Success, Engineering, Sales, Marketing, and Finance.
  • Strong coding skills in a general‑purpose language like Scala or Python, and familiarity with software engineering principles around testing, code reviews, and deployment.
  • Proficiency in data analysis and visualization using tools such as R and Python.
  • Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
  • BS/MS/PhD in Computer Science or a related field.
Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We consider all applicants without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Pay Range Transparency

Pay range for this role: $123,200 – $218,000 USD. Total compensation may also include annual performance bonus, equity, and benefits.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within employer's discretion whether to apply for a U.S. government license for such positions, and employer may decline to proceed with an applicant on this basis alone.

#J-18808-Ljbffr

Apply