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Weekend Python Data Analyst Jobs in Arizona (NOW HIRING)

(USA) Senior, Data Analyst

Tempe, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Sun City, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Carefree, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

New River, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Gila Bend, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Surprise, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Avondale, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Buckeye, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Peoria, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Glendale, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Maricopa, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Anthem, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

(USA) Senior, Data Analyst

Tolleson, AZ · On-site

$80K - $155K/yr

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

Strong technical skills in tools and technologies such as Python, SQL, JavaScript, Next.js, Linux ... Background in data analytics, software development, or web development * Familiarity with applying ...

Showing results 21-40

Weekend Python Data Analyst information

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Arizona?

The most popular types of Python Data Analyst jobs in Arizona are:

What cities in Arizona are hiring for Weekend Python Data Analyst jobs?

Cities in Arizona with the most Weekend Python Data Analyst job openings:

Data Analyst, Specialist

Scottsdale, AZ • On-site

Full-time

Posted 4 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz


Job description

Responsibilities:
  • Leads complex fraud analytics initiatives from problem definition and data assessment through implementation, measurement, and ongoing monitoring.
  • Designs, develops, back-tests, and optimizes offline fraud detections that generate actionable leads for investigative teams.
  • Establishes performance measures for detections, including precision, recall, false-positive rates, alert volumes, loss exposure, and prevented or avoided impact.
  • Identifies emerging fraud trends, anomalous behavior, common attributes, and fraud signatures across account, client, transactional, and case data.
  • Leads forensic analysis and analytical support for significant fraud incidents, control gaps, and emerging typologies.
  • Develops and owns executive reporting, dashboards, benchmarking, loss reporting, and recurring fraud performance products.
  • Defines data quality controls and validates the completeness, accuracy, and reasonableness of fraud data used in reporting and detection.
  • Documents analytical methodologies, assumptions, data lineage, and control procedures to support governance and audit readiness.
  • Translates complex analytical findings into concise recommendations for fraud operations, risk partners, technology teams, and senior leadership.
  • Reviews analytical approaches and work products developed by other analysts and provides technical direction, coaching, and quality assurance.
  • Partners with investigative teams to establish feedback loops and disposition processes that improve detection effectiveness.
  • Serves as an analytical subject-matter expert on cross-functional fraud initiatives, data modernization efforts, and evaluation of fraud tools or capabilities.

Qualifications
  • Minimum of five years of progressively responsible experience in data analytics, fraud analytics, risk analytics, or a related field.
  • Demonstrated experience independently leading complex analytical initiatives and influencing business decisions.
  • Advanced SQL skills, including experience analyzing large and complex datasets.
  • Proficiency in Python or another analytical programming language used for data preparation, automation, statistical analysis, or detection development.
  • Advanced experience developing dashboards and executive reporting in Tableau or a comparable visualization platform.
  • Experience developing, testing, monitoring, or optimizing fraud detections, risk rules, anomaly-detection methods, or analytical models.
  • Strong understanding of analytical validation methods, data quality controls, and performance measurement.
  • Ability to translate technical findings into concise, actionable recommendations for technical and non-technical audiences.
  • Demonstrated ability to review peer work, establish analytical standards, and coach less-experienced analysts.
  • Knowledge of financial-services fraud typologies, investigations, fraud operations, or fraud loss measurement strongly preferred.
  • Experience working in cloud-based data environments and with governed enterprise data assets preferred.
  • Undergraduate degree or equivalent combination of training and experience; graduate degree preferred.

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g. assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.
Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource - by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

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Benefits

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