Quant Analytics Associate - SQL, SAS/Alteryx/Tableau

4 years

0 Lacs

Hyderabad, Telangana, India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

analytics sql sas alteryx tableau data drive outreach support analyze development reporting metrics writing python communication consulting aws agile processing management diversity auto ranking governance strategy learning technology cutting

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description Join JPMorgan Chase to elevate your data science career and drive impactful business insights. As a Quant Analytics Associate within the Data and Analytics team at JPMorgan Chase, you will transform data into insights that create competitive advantages and deliver value for our customers. You will be part of a team that leverages data-driven techniques to enhance customer experience and drive business value. Job Responsibilities Search for behavior patterns to enable timely outreach. Support partnerships with Operations stakeholders and Product groups. Build business cases and analyze program performance. Analyze customer interactions across various channels. Lead development and reporting of Ops performance metrics & KPIs. Create self-serve tools for real-time decision-making. Required Qualifications, Capabilities, And Skills Bachelor's/Master's in a quantitative field with 4+ years of data science experience. Experience in handling large datasets and writing complex SQL scripts. Ability to deliver analytics solutions under strict timelines. Proficiency in at least four of SQL, Python, SAS, Tableau, Alteryx. Proven track record in solving business problems through analytics. Effective communication skills with senior leaders. Preferred Qualifications, Capabilities, And Skills Experience in financial services or consulting firms. Familiarity with big data disciplines, AWS, Agile methodologies. Lifelong learner with a growth mindset. ABOUT US 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. 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. Show more Show less

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