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Python Analytics Jobs in Seattle, WA (NOW HIRING)

Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management. • GenAI Application Development Expertise • Programming Languages: Python ...

Senior Analytics Engineer

Bellevue, WA · On-site

$117K - $161K/yr

... and/or Python. • Expert-level SQL, including writing, optimizing, and debugging complex analytical queries. • Deep experience querying MPP analytical databases such as StarRocks, Snowflake ...

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... Python • Strong analytical and problem-solving skills • Bachelor's or master's degree in computer science, data science or equivalent Preferred : • Good to have Manufacturing domain ...

Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation. * Experience building dashboards, visualizations, or self-service reporting tools (e ...

Senior Data Analytics Engineer

Seattle, WA

$120K - $163K/yr

Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data. * Stay informed of industry trends, tools, and best practices in data analytics and engineering, and ...

Conduct benchmarking analyses using survey data and internal pay data to support compensation ... Proficiency in Python, SQL, or R for data manipulation and automation * Familiarity with ...

As the Analytics lead for these businesses, you will partner with Category Management to define an ... Python experience is a bonus. * Experience with e-commerce, omni-channel, or retail data (catalog ...

Lead Analytics Engineer

Seattle, WA · Remote

$80K - $115K/yr

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Advanced proficiency in Python for data manipulation and analytics engineering ...

Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia). * Proven ... and analytics performance. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! W ...

Senior Analytics Engineer

Bellevue, WA · On-site

$157K - $210K/yr

Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia). * Proven ... and analytics performance. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! W ...

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Python Analytics information

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How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

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

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.

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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
Senior Analyst, Customer Experience Analytics

Senior Analyst, Customer Experience Analytics

Synchrony Financial

Seattle, WA • On-site

$100K - $132K/yr

Full-time

Posted 5 days ago


Synchrony Financial rating

9.1

Company rating: 9.1 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

2nd of 148 rated financial services


Job description

Role Summary/Purpose:

The Senior Analyst, Customer Experience Analytics role will be responsible for owning analyses that drive measurable improvements in operational performance and customer experience. This role will partner cross-functionally and work closely with analytic leadership to solve complex problems and enable better strategic decisions on customer engagement. The ability to handle multiple projects at once, thrive in a fast-paced environment, and effectively communicate to leadership are critical to success in this role.

Essential Responsibilities:

  • Own end-to-end analytics delivery: Translate business questions into analytic approach, build/validate datasets from disparate sources, perform analysis, and deliver actionable recommendations.

  • Lead root-cause investigations on operational performance shifts (e.g., increases in handle time, contact drivers, etc.).

  • Influence adoption: Align stakeholders on actions, quantify expected impact, and track realized results post-implementation.

  • Communicate insights effectively: Tailor messaging for senior leaders vs. working teams; present assumptions, limitations, and recommended next steps.

  • Proactively identify, analyze, and solve business problems with a focus on understanding the root causes.

  • Become a subject matter expert for data across multiple clients and warehouses.

  • Provide clear timelines, manage multiple parallel requests, and maintain a transparent prioritization approach.

  • Perform other duties and/or special projects as assigned

Qualifications/Requirements:

  • Bachelor's degree OR in lieu of a degree, a high school diploma and 3+ years of analytics experience in financial services, credit card and/or payments industries. Experience to include:

    • 2+ year of experience in an analytics role with a focus on digital engagement analytics preferred.

    • 1+ years of experience with statistical tools such as SAS, SQL, R, or/or Python

    • Comfortable analyzing large datasets in a warehouse environment.

    • Demonstrated ability to translate ambiguous business questions into structured analyses and recommendations.

    • Ability and flexibility to travel for business as required

OR

  • Master's Degree and:

    • At least 1 year of experience in an analytics role in financial services, credit card and/or payments industries.

    • 1+ years of experience with statistical tools such as SAS, SQL, R, or/or Python

    • Comfortable analyzing large datasets in a warehouse environment.

    • Demonstrated ability to translate ambiguous business questions into structured analyses and recommendations.

    • Ability and flexibility to travel for business as required

Preferred Qualifications:

  • Bachelor's degree in STEM or related quantitative field

  • Master's Degree in STEM or related quantitative field

  • Analytics role in financial services, credit card and/or payments industries is strongly preferred.

  • SAS experience is preferred.

  • Strong written and verbal communication skills; able to tailor messages to technical and non-technical audiences.

  • Experience working with multiple source systems and enterprise data warehouses; comfortable navigating data lineage and definitions.

  • Strong data storytelling and visualization skills; able to translate complex analyses into clear insights and recommended actions.

  • Proven ability to influence and collaborate across cross-functional teams without direct authority.

  • Working knowledge of common analytics approaches (e.g., trend/variance analysis, segmentation, KPI design, root-cause analysis, A/B testing).

  • Strong organizational and project-management skills; able to manage multiple priorities independently and meet deadlines.

  • Experience structuring and executing complex analyses.

  • Comfortable operating in a fast-paced environment; able to deliver high-quality ad hoc analyses under tight timelines.

  • Ability to synthesize diverse inputs into practical recommendations and clearly articulate findings to business partners and senior leaders.

  • Proven understanding of the financial services / credit card / payments industry.

  • Familiarity with Net Promoter Score (NPS) and customer sentiment analytics, including interpreting feedback trends and translating insights into operational improvements.

Grade/Level: 09

The salary range for this position is 85,000.00 - 140,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics

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