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Senior Python Data Analysis Jobs in Oregon (NOW HIRING)

Positioned between data engineering and data analysis, this role utilizes SQL and dbt to build ... Strong understanding of how to manipulate data using dbt, SQL, and Python. * Experience optimizing ...

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$85K - $108K/yr

As a Senior Data Analyst, you will: * Own high-impact data products end-to-end - driving product ... Python or PySpark, including building reliable, reusable analysis workflows * You have a proven ...

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$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data ... Experience building predictive models (propensity-to-close, churn, expansion) using Python or R.

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled ... Python SDK Managerial experience leading and mentoring a team of data engineers Expertise in ...

OR ยท On-site

Currently a Senior or Graduate student enrolled in a degree program in Business, Computer Science ... Familiarity with Python, JavaScript, or C#/.NET is a plus * Prior exposure to healthcare, TPAs, or ...

Sr. Data Analytics Engineer

OR ยท On-site

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

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$105K - $143K/yr

The Analytics team is evolving our enterprise capabilities from foundational governance into a ... Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Senior Data Architect

Beaverton, OR ยท On-site

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Analyze existing data stores and interfaces to support current state and future data models * Work ...

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$85K - $100K/yr

The Sr. Analyst, Data Visualization role supports the delivery of one of our most impactful ... In this role, you'll lead the processing of data into our cloud-based analysis tools, and support ...

The Senior Program Manager is an experienced software developer and healthcare data analyst with at ... analytic systems for Medicare and other healthcare data programs. Expert in Python, SQL, cloud ...

Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar) * Experience with data visualization tools (e.g., Power BI, Tableau) preferred * Strong analytical, problem-solving, and ...

Senior Commercial Exchange Analyst

OR ยท On-site +1

$87K - $116K/yr

As a Senior Commercial Exchange Analyst, you will be a critical bridge between auction intelligence ... Familiarity with Python for data analysis, automation, and pipeline development is a plus. * Clear ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

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 are the most commonly searched types of Python Data Analysis jobs in Oregon? The most popular types of Python Data Analysis jobs in Oregon are:
What job categories do people searching Senior Python Data Analysis jobs in Oregon look for? The top searched job categories for Senior Python Data Analysis jobs in Oregon are:
Game Integrity Senior Analyst

Game Integrity Senior Analyst

Rush Street Interactive

OR โ€ข Remote

Other

Posted 4 days ago


Job description

The Senior Game Integrity Analyst plays a critical role in safeguarding the integrity, fairness, and security of poker gameplay. This position is responsible for proactively identifying, investigating, and resolving complex integrity threats, including bot activity, collusion, and third-party tools.

As a senior individual contributor, this role provides advanced analytical insights, supports cross-functional initiatives, and contributes to the continuous improvement of game integrity tools, processes, and strategies. The Senior Analyst also serves as a subject matter expert, helping guide best practices and supporting less experienced team members where needed.

What You'll Do:

  • Analyze player activity, gameplay data, and other relevant data points to detect sophisticated patterns of suspicious behavior, including bot usage, collusion, chip dumping, and real-time assistance tools
  • Lead complex investigations into flagged or reported player activity and determine appropriate actions in alignment with integrity policies.
  • Monitor, investigate, and help resolve game integrity issues, ensuring timely and consistent enforcement of rules and procedures.
  • Provide advanced game integrity analysis and actionable insights to support investigations, trend monitoring, and the identification of suspicious player behavior, while sharing relevant insights with the Poker Operations and Marketing teams as needed.
  • Collaborate cross-functionally with Customer Support, Risk, Payments, and Marketing teams to address integrity-related inquiries and ensure a seamless player experience.
  • Partner with the Game Integrity & Data Analytics Manager to enhance and develop monitoring tools, detection methodologies, and reporting capabilities.
  • Identify trends, emerging risks, and opportunities for process improvements, contributing to the evolution of game integrity frameworks.
  • Support documentation and refinement of standard operating procedures and best practices.
  • Act as a subject matter expert in game integrity, providing guidance and informal mentorship to junior analysts as needed.
  • Support leadership on strategic and operational initiatives related to game integrity, player protection, and ecosystem health.

What You'll Bring:

  • Bachelor's degree in a STEM field or a related discipline preferred, but not required.
  • 2+ years of experience in game integrity or related integrity-focused roles, preferably within poker, while experience from other environments will also be considered.
  • Deep understanding of poker game integrity, including bot detection, RTA detection, collusion, chip dumping, and the identification of other integrity and fraud vectors.
  • Strong experience in defining game integrity policies and designing, optimizing, and maintaining operational procedures to support consistent, effective, and scalable GI decision-making.
  • Strong analytical capabilities with the ability to interpret complex datasets and generate insights.
  • Proficiency in data analysis tools and MS Office applications, particularly Excel.
  • Experience working with data analytics platforms or querying tools is a plus.
  • Experience working with R, python or other similar tools is a plus.
  • Excellent problem-solving skills with strong attention to detail.
  • Strong written and verbal communication skills, with the ability to present findings clearly to stakeholders.
  • Ability to manage multiple priorities and work independently in a fast-paced environment.
  • Passion for poker and commitment to delivering a fair and high-quality player experience.
  • Significant online poker expertise; a history of serious play is a plus.
  • Must be fluent in English.
  • Ability to travel occasionally, both domestically and internationally. #LI-REMOTE #LI-DNP