Data Scientist Analyst - SQL, Tableau

Kick-start your career as a Data Scientist Analyst, where you'll leverage advanced analytics to drive strategic decision-making and enhance customer experiences within the card business.

As a Data Scientist Analyst within the Data and Analytics team, you will be part of a dynamic team that leverages data-driven insights to enhance customer experiences and drive strategic decision-making within the card business. You will analyze complex data sets, develop insights, and support data-driven decision-making across the organization, utilizing tools like SQL, Tableau, Snowflake, and Python.

Job Responsibilities

• Utilize SQL to extract, clean, and manipulate data from various databases, ensuring data quality and integrity.
• Manage and analyze data using cloud-based data warehousing solutions like Snowflake.
• Analyze large and complex data sets to identify trends, patterns, and insights that inform business decisions.
• Develop and maintain dashboards and reports using tools like Tableau to visualize data and effectively communicate results.
• Collaborate closely with business stakeholders to understand their needs and translate them into data-driven solutions.
• Present analytical findings and recommendations to senior management and other stakeholders in a clear and concise manner.
• Identify opportunities to improve data processes and implement automation to enhance efficiency.

Required Qualifications, Capabilities, and Skills

• At least 2 years of experience in a Data Scientist Analyst role or a similar position.
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
• Proficient in SQL for data extraction and manipulation.
• Extensive experience with Tableau for data visualization and reporting.
• Exceptional analytical and problem-solving skills with strong attention to detail.
• Excellent communication skills, capable of conveying complex data insights to non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills

• Proficiency in Python for data analysis and basic modeling.
• Familiar with Snowflake or other cloud-based data warehousing solutions.
• Ability to work independently and collaboratively in a fast-paced environment.

JPMorganChase, 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.