Data Analyst (SAS,SQL)

Job Description
Job Summary:
As a part of a core analytics responsibility and offers opportunities to contribute thought leadership with exposure to senior leadership. Success in this role will require technical skills, attention to detail, and strong project management skills. You will use your advanced SQL, SAS and Alteryx Analytical tools and project management expertise to deliver insights/reporting on exciting service features and capabilities.
Job Responsibilities

• Work on analytics initiatives, supporting multiple AML-KYC stakeholders hungry for analytics and insights
• Bring in experience in the production, optimization and automation of recurrent reports
• Help measure OKRs, monitor performance of features and capabilities, build hypotheses, conduct and identify opportunities for new features
• Get involved and work in projects ranging from simple trend analysis to cross-channel journey analysis to prescriptive analytics, which includes data mining, business judgment, and collaboration to improve the customer experience
• Work on all phases of the analytics lifecycle, including documenting data lineage, scoping, data development, hypothesis development, data analysis, generating insights, developing, and delivering presentations of findings.
• Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional units.
• Translate data into meaningful insights and present a compelling story to stakeholders for decision making

Required Qualifications, Skills and Capabilities:

• 4+ years of industry experience in a data product/analytics field in a large-scale data environment or equivalent experience
• Intellectually curious and eager to learn new things with an eye for innovation
• Highly organized and able to prioritize multiple tasks
• Good written and oral communication skills
• Operational business knowledge of processes, data, controls, and technology platforms
• Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.)
• Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key

Preferred Qualifications, Skills and Capabilities:

• Basic skills with JIRA, Confluence
• Familiarity with Cloud (AWS, Snowflake, SageMaker) based data solutions and tools
• Proficiency in Microsoft Word, Excel, PowerPoint
• Being able to demonstrate initiative, completing projects/tasks independently is highly desired
• Previous experience in the financial services industry preferred
• Experience working with stakeholders and driving data-driven decision making is desired
• Bachelor's degree is required, and a master's degree is preferred
• Experience with visualization techniques for data analysis and presentation (Tableau preferred)

About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.