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Python Analytics Jobs in San Francisco, CA (NOW HIRING)

US Bank

Credit Risk Python Architect

San Francisco, CA · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

JLL

Analytics Specialist Developer

San Francisco, CA · On-site

Working experience with SQL, plus Python and/or Databricks * Experience in agile delivery environments * Degree in data/analytics or related field (or equivalent experience) * Strong stakeholder ...

Lorven technologies

Analytics Consultant

San Francisco, CA · Remote

$65 - $70/hr

Advanced Excel, SQL, or Python/R for data analysis preferred. * Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. * Business & Consulting Skills * Exceptional ability ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Pwc

GenAI Python Systems Engineer-Manager

San Francisco, CA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Experience using Python for quantitative research, exploratory data analysis, prototyping, or model ...

Walmart

(USA) Senior Manager, Advanced Analytics

Hayward, CA · On-site

$117K - $234K/yr

You have deep experience building customer-centric metrics, measurement frameworks, and scalable analytics solutions using tools like SQL and Python. * Ownership and Bias for Action : You proactively ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Experience using Python for quantitative research, exploratory data analysis, prototyping, or model ...

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Showing results 41-60

All JobsPython Analytics JobsPython Analytics Jobs in San Francisco, CA

Python Analytics information

See San Francisco, CA salary details

$15

$69

$101

How much do python analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python analytics in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in San Francisco, CA? For Python Analytics jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in San Francisco, CA look for? The top searched job categories for Python Analytics jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Python Analytics jobs? Cities near San Francisco, CA with the most Python Analytics job openings:
Python Analytics jobs near you

Associate Growth Product Manager, Customer Acquisition

Frec Markets, Inc

San Francisco, CA • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Frec
Our mission is to help create enduring wealth. To do this, we don't promise shortcuts or magic strategies. We respect the realities of investing as it actually works, and challenge the long-standing assumption that returns and taxes belong in separate conversations. By building tax-aware investment tools once reserved for the ultra-wealthy, Frec empowers investors to hold onto more of what they earn.
In the last year, Frec has been growing exponentially - 50% QoQ growth with over $1B+ in customer assets. We raised our Series A with Greylock Partners and have an impressive list of other funds and angel investors backing our company. If you're looking to join a fast-growing team with high potential, Frec could be the place for you. Learn more about Frec as a company at www.frec.com.
About the role
We're hiring a Growth PM to help fuel Frec's next stage of growth by increasing qualified top-of-funnel demand and improving the path from achieving awareness of Frec to a funded account. New graduates are encouraged to apply!
This is an early-career PM track for an exceptional builder who wants to grow into a product-minded growth leader. You'll start by working on real customer acquisition problems: how to reach high-intent investors, how to turn attention into qualified leads, how to explain complex investing products clearly, and how to build repeatable growth systems that scale.
You'll work across channels, landing pages, referral loops, creator partnerships, paid communities, employer programs, and other growth surfaces to reach more high intent, high-net-worth investors.
You should be analytical, creative, scrappy and deeply curious about the product.You do not need years of formal PM experience, but you do need evidence that you can learn quickly, build from zero, communicate clearly, and take ownership without waiting for perfect instructions.
Frec is a high-trust fintech product. Growth here requires strong product understanding, clear communication, thoughtful education and disciplined experimentation.
You'll partner closely with the Head of Growth, and work cross functionally with the founder, marketing, design, sales, compliance and engineering. This is a high-learning and high ownership role for someone who wants to build the foundation for a PM or growth leadership career.
What you will do
  • Own acquisition-focused growth initiatives across channels and growth surfaces, including referral programs, paid search, influencers, communities, brand activations and other high-intent acquisition channels
  • Identify new channels through customer insights and channel research
  • Build and improve acquisitions assets such as landing pages, referral flows, and ad angles
  • Analyze performance across the full funnel, including traffic, leads, qualified leads, approved accounts, funded accounts, CAC, payback period, AUM, and customer quality

What you bring
  • 0-2 years of experience
  • Exception analytical ability, intellectual curiosity, and a strong bias toward action
  • Strong written communication and the ability to explain complex ideas clearly
  • A genuine interest in investing, wealth management, and consumer finance.
  • High ownership and comfort operating in an early-stage startup environment where priorities move quickly and results matter
  • Comfort using AI tools to increase speed and quality across research, analysis, creative work, reporting and execution

Nice to have
  • Internship, project, or work experience in growth, product, or fintech
  • Evidence of building, launching, growing or meaningfully contributing to something from zero such an app, side business, community, campus organization, investment club, etc.
  • Experience with SQL, Python, analytics tools, Figma, CMS tools, and CRMs

What we offer
  • Competitive compensation
  • Equity grant
  • Fully paid health and dental insurance
  • 401k
  • Monthly allowance to help with maintaining a healthy body and mind, including fitness and mental health
  • Flexible PTO policy
  • Friendly office environment with catered lunch every day

Contact
If all of the above resonates with you, reach out to amberly@frec.com and join us for the ride.

Apply