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Freelance Python Data Analysis Jobs in Decatur, TX

Fidelity Investments

Principal Data Engineer

Westlake, TX · On-site

$129K - $173K/yr

Designs and crafts modern data and information delivery and analytics platforms in the Cloud, using Snowflake, Redshift, AWS, Azure, and Python. Builds scalable and robust data solutions. Supports ...

Fidelity Investments

Principal Data Engineer

Westlake, TX

$129K - $173K/yr

Designs and crafts modern data and information delivery and analytics platforms in the Cloud, using Snowflake, Redshift, AWS, Azure, and Python. Builds scalable and robust data solutions. Supports ...

Charles Schwab

Data Engineer

Southlake, TX

$107K - $129K/yr

Expertise in Informatica (IDMC/IICS) and Python coding skills * Used AI in development lifecycle to gain efficiency * Business Analysis experience to perform data analysis to translate business ...

Charles Schwab Inc.

Data Engineer

Southlake, TX · On-site

$125K - $140K/yr

Expertise in Informatica (IDMC/IICS) and Python coding skills * Used AI in development lifecycle to gain efficiency * Business Analysis experience to perform data analysis to translate business ...

Yesway

Senior Financial Analyst

Fort Worth, TX

$76K - $95K/yr

Strong data analysis background. * Intermediate SQL Skills is a plus. * Alteryx experience is a plus. * R or Python experience is a plus. Benefits * Medical * Dental * Vision * Company Paid Life ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for freelance python data analysis in Decatur, TX is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $59.52 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What cities near Decatur, TX are hiring for Freelance Python Data Analysis jobs? Cities near Decatur, TX with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Senior Manager, Fraud Detection and Analytics

Senior Manager, Fraud Detection and Analytics

Fidelity Investments

Westlake, TX

Full-time

Posted 22 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description

Job Description:

Senior Manager, Fraud Detection and Analytics

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

The Fraud Risk and Control (FRC) Detection Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across the customer lifecycle.

As a Senior Manager, Fraud Detection and Analytics, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeovers, and coordinated fraud attacks using advanced analytics and large-scale data

  • Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.

  • Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.

  • Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.

  • Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.

  • Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.

  • Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.

  • Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

The Expertise and Skills You Bring

  • 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.

  • Strong proficiency in Python and SQL for data analysis and automation.

  • Experience working with large-scale datasets and modern data platforms.

  • Skilled in using analytics tools for statistical analysis, visualization, and reporting.

  • Familiarity with fraud detection methodologies, especially related to account compromise and scams.

  • Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.

  • Strong communication and collaboration skills to work effectively across teams.

  • Experience in anomaly detection or behavioral analytics is a plus.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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