Data Analytics (SQL, Alteryx , AWS)- Associate

Job Description
Become an integral part of our Data & Analytics team! Each day will be unique - bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary:
As a Data Analytics Associate within our technical team, you will interact with stakeholders to understand business needs, work closely with product and technical teams to produce efficient solutions, and develop Tableau dashboards. You will also be responsible for writing SQL codes, developing Alteryx workflows, and writing basic Python codes. Your role will also involve working extensively on data validations and ensuring codes are designed efficiently to maximize performance and consistency of the reporting environment.
Job Responsibilities:

• Interact with the stakeholders to understand business needs and work closely with product and technical teams to produce efficient solutions.
• Writing SQL Codes, developing Alteryx workflows, writing basic Python codes and developing Tableau dashboards if required.
• Acquire product knowledge and cloud knowledge (AWS and Snowflake)
• Work extensively on data validations. Will be investigating issues, reaching out to multiple teams to get the issues resolved.
• Ensure codes are designed efficiently to maximize performance and consistency of reporting environment.
• Ensure the reporting elements are organized, clearly labeled, and assigned meaningful descriptions.
• Pro-actively identify key growth areas and opportunities and communicate recommendations to the leadership team and various teams across the firm to influence and fine-tune our strategies.
• Collaborate with cross-functional strategy teams within consumer Bank to design and deliver customized analyses and synthesize the data into actionable insights to be delivered to the business.
• Providing regular updates to the team, key stakeholders and senior leaders.

Required Qualifications, Skills, and Capabilities:

• Bachelor's / Master's Degree in quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics with minimum of 4 years of experience in Data Transformation and Visualization.
• Hands-on experience with standard data analytics tools and technologies (SQL, Tableau, Alteryx, Excel Python & Snowflake). Knowledge on AWS.
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.
• Should have a very good understanding of IT processes and databases. Should be able to work directly with Stakeholders/Partners and contribute to building controls reporting suite.
• Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.
• Communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus.
• Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts. Experience delivering analytics solutions under strict timelines quick turn-around.

Preferred Qualifications, Skills and Capabilities:

• Previously worked in an insights function at a financial services firm or consulting firm supporting financial firms.
• Strong SQL skills, Excel and Alteryx skills with knowledge on AWS and Snowflake
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.
• Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.

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.