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Job Description

Job Summary:


The Data & Analytics team is the engine that powers JPMorgan Chase with insights to create competitive advantages for our business and deliver value for our customers.  We have unified data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance.  Within this organization, the Decision Sciences team leverages industry-leading data-driven techniques to convert data into meaningful insights that enable the firm to drive value and an outstanding customer experience. 


We are seeking a highly motivated and skilled data engineer to join our analytics team. The successful candidate will be responsible for designing, building, and maintaining our data infrastructure to support the data-driven decision-making process of the company. The ideal candidate should be an expert in SQL, Alteryx, and Python and have 5-9 years of relevant experience in data engineering.


Job Responsibilities


  • Perform data cleansing, aggregation, and transformation as needed. Design, develop and maintain our data pipelines and infrastructure
  • Work closely with the analytics team to ensure data quality and accuracy. Collaborate with other teams to identify and implement new data sources
  • Develop and maintain ETL workflows using Alteryx and other tools
  • Write complex SQL queries to analyze data and produce reports
  • Develop and maintain data visualizations and dashboards
  • Design and implement data security and privacy policies
  • Monitor data usage and performance to identify and resolve issues

Required Qualification, Capabilities and Skills


  • Master’s degree in Computer Science, Information Technology or a related field
  • 5-9 years of experience in data management or a related field
  • Expert-level knowledge of advanced SQL, Alteryx, and Python
  • Knowledge of data visualization tools such as Tableau, Power BI, ThoughtSpot, or QlikView
  • Experience with big data platforms such as Hadoop, Spark, Databricks, or Snowflake
  • Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Ability to work independently with minimal supervision
  • Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts

Preferred Qualification, Capabilities and Skills


  • Previously worked in an insights function at a financial services firm, consulting firm, or a marketing agency
  • Have a strong grasp of big data disciplines, Agile (scrum) methodologies, and new technologies
  • Are proficient with Business Intelligence (BI) tools (e.g. Tableau, Power BI)

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.



Job Details

Job Location
India
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified

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