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Financial Crimes Reporting & Intelligence - Sr. Analyst
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Quick apply
Collaborate with engineering, analytics, and business teams Required Skills: * Strong experience in ... ML/AI Engineering: Python, PyTorch, MLOps pipelines * GenAI: Experience with LangChain, LLM ...
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SQL, SAS, Python, Tableau Prep, Tableau) on one or more platforms to incorporate advanced calculations, develop more advanced data flows and assemble complex consolidated dashboards/reports/analyses ...
Wealth Reporting & Analytics Senior Analyst
$103K - $171K/yr
SQL, SAS, Python, Tableau Prep, Tableau) on one or more platforms to incorporate advanced calculations, develop more advanced data flows and assemble complex consolidated dashboards/reports/analyses ...
Wealth Reporting & Analytics Senior Analyst
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Business Systems Analyst VI- Buffalo NY
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Strong analytical background with experience in data-driven environments * Proficiency in Snowflake, SQL, Python, Tableau, Alteryx, and similar tools * Experience working with large datasets and ...
Business Systems Analyst VI- Buffalo NY
Buffalo, NY · On-site +1
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Strong analytical background with experience in data-driven environments * Proficiency in Snowflake, SQL, Python, Tableau, Alteryx, and similar tools * Experience working with large datasets and ...
Strong analytical background with experience in data-driven environments * Proficiency in Snowflake, SQL, Python, Tableau, Alteryx, and similar tools * Experience working with large datasets and ...
Python Data Analyst information
See Buffalo, NY salary details
$32.9K - $41.9K
4% of jobs
$41.9K - $50.9K
7% of jobs
$50.9K - $59.9K
13% of jobs
$60.4K is the 25th percentile. Wages below this are outliers.
$59.9K - $68.9K
18% of jobs
The median wage is $73.1K / yr.
$68.9K - $77.8K
16% of jobs
$77.8K - $86.8K
13% of jobs
$90.2K is the 75th percentile. Wages above this are outliers.
$86.8K - $95.8K
9% of jobs
$95.8K - $104.8K
5% of jobs
$104.8K - $113.8K
9% of jobs
$113.8K - $122.8K
3% of jobs
$122.8K - $131.7K
2% of jobs
$32.9K
$80.1K
$131.7K
How much do python data analyst jobs pay per year?
What does a Python Data Analyst do?
How do Python Data Analysts typically collaborate with other departments within an organization?
What is the difference between Python Data Analyst vs Data Scientist?
| Aspect | Python Data Analyst | Data Scientist |
|---|---|---|
| Required Skills | Python, SQL, data visualization, statistical analysis | Python, R, machine learning, statistical modeling |
| Work Environment | Business analytics, reporting, data cleaning | Advanced modeling, predictive analytics, research |
| Industry Usage | Finance, marketing, healthcare, retail | Tech, finance, research, AI development |
While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.
What Does a Python Data Analyst Do?
As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.
What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

$96K - $181K/yr
Full-time
Posted 4 days ago
KeyBank rating
8.2
Based on 89 frontline employees who took The Breakroom Quiz
38th of 141 rated banks
Job description
Location:
4224 Ridge Lea Road, Amherst New YorkThe Financial Crimes Reporting & Intelligence Sr. Analyst is responsible for sourcing, preparing, and delivering reporting and analytics in support of BSA/AML/OFAC & Corporate Investigations compliance. The candidate will leverage data mining, analytics, and visualization tools to transform complex data into actionable business insights, operational reports, tolerance thresholds, and key risk indicators. The role requires a blend of accountability, technical expertise, and business acumen to meet tight deadlines, drive continuous improvement and meet regulatory expectations.
The ideal candidate will support advanced reporting and analysis, data quality initiatives, and collaborate with stakeholders to align reporting with strategic objectives. This includes identifying and anticipating business needs, translating them into insightful data solutions, and enhancing business and data literacy across the organization. The analyst may also work closely with analytics enablement and data strategy partners to drive innovation, improve efficiency, and support the adoption of enterprise-wide data and analytics strategies.
Key ResponsibilitiesProvide advanced analysis and reporting, leveraging critical thinking and business acumen to source and translate data into business insights to solve business problems.
Collaborate with business partners to understand and provide analytical needs.
Support regulatory exams and audits by delivering required reports, documentation, and data extracts in a timely and accurate manner.
Identify opportunities to automate manual reporting processes and implement scalable, repeatable solutions.
Manage personal data pipelines within analytical workspaces.
Translate complex data into clear, actionable insights for both technical and non-technical audiences.
Promote data and business literacy across the team and broader organization through mentoring, documentation, and knowledge sharing.
Stay abreast industry trends, regulatory changes, and emerging technologies to continuously improve reporting practices and tools.
Effectively manage and prioritize multiple deliverables.
Education & Experience:
Bachelor's degree (or equivalent) in Data Analytics, Business Management, Computer Science, Management Information Systems, Statistics, or relevant fields with at least 4 years of relevant experience.
Advanced experience with analytical programming languages (SQL, SAS & Python).
Experience with analytical tools such as Dataprep, Vertex.AI, Data Fusion, Dataform, Cloud Composer or other Google Cloud Platform tools preferred.
Experience with Bitbucket, Github or other code management platforms preferred
Proficiency in data visualization tools (Tableau, Cognos, Oracle BI, Power BI, Looker Studio etc.).
Advanced proficiency in Microsoft Excel, PowerPoint and SharePoint.
Experience with MS Forms, Power Automate & Copilot preferred.
Understanding of source systems, data supply chains, and process flows.
Ability to work with large datasets and navigate data warehouses.
Familiarity with automation and data transformation processes.
Ability to translate business questions into data-driven insights.
Experience conducting descriptive and diagnostic analytics.
Strong communication skills to present findings to technical and non-technical audiences.
Proven ability to manage multiple priorities and deliver under tight deadlines.
Basic knowledge of banking laws and regulations with emphasis on BSA, AML, and OFAC.
3 or more years of experience in AML, OFAC and/or Fraud data analytics or a similar area.
Prior experience with BSA/AML/OFAC/Fraud applications preferred.
ACAMS, ACFCS, or similar certifications preferred.
Communication: Strong written and verbal communication skills; Effectively communicates key points to stakeholders with the right amount of detail; Proactively shares information for those who may have a need to know.
Leadership: Serves as a role model, may coach and develop others; provides mentorship to junior staff.
Collaboration & Partnership: Establishes a reputation as a collaborative and trusted partner across business, compliance, and technology teams.
Execution & Accountability: Ability to manage multiple projects; Ability to deliver high-quality results under pressure.
Analytical Rigor: Applies critical thinking and analytical skills to solve complex problems and generate actionable insights. Possesses intellectual curiosity.
Business Acumen: Understands the business; What are the needs and strategy of the business.
Data Stewardship: Champions data quality, completeness, and documentation. Identifies and defines critical data elements for reporting and decision-making.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 07/12/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
#LI-HybridAbout KeyBank
Sourced by ZipRecruiter
Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Cleveland, OH, US
Year founded
1849