JOB DUTIES:

Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs. Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls. Consult enterprise and industry models. Develop insights, methods or tools derived from large datasets using various analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, simulations, and visualization techniques. Profile, wrangle, and prepare data from multiple diverse sources and disparate databases to construct conclusions and strategies. Write data transformation logic in languages such as Python and SQL. Conduct business process analysis and identify data needed to support the processes. Determine whether the firm's data is fit for use within a given process. Analyze data to explore improvement opportunities, assessing strengths through confidence of data inputs, identifying data defects, recognizing statistical anomalies, and linking data to business processes. Collaborate with business owners to formulate quantifiable goals; advise on strategies and experimentation to achieve business goals. Leads partnership with one or more Stakeholders with strong understanding of business drivers and underlying data and is comfortable communicating complex analytical results. Leads execution of KPIs, trend analysis, dashboards and analyses including segmentations, optimizations, and other techniques to improve business function performance. Follows procedures to strengthen the control framework and meets risk and compliance obligations. Collaborates with team and others to achieve common goals. Cultivates partnerships and collaborates across teams.

MINIMUM EDUCATION AND EXPERIENCE REQUIRED:

Bachelor’s degree in Information Technology, Data Analytics, Information Systems, or related field of study plus 5 years of experience in the job offered or as a Data Architect, Quantitative Analyst, Software Developer, Software Engineer, IT Analyst/Consultant, or related occupation. The employer will alternatively accept a Master’s degree in Information Technology, Data Analytics, Information Systems, or related field of study plus 3 years of experience in the job offered or as a Data Architect, Quantitative Analyst, Software Developer, Software Engineer, IT Analyst/Consultant, or related occupation.

SKILLS REQUIRED:

Requires experience in the following: SQL; Teradata; Snowflake; Python; Hadoop; Hive; Spark; STP (straight through processing); Alteryx; creating STP combining SQL based sources; ETL (Extract, Transform and Load) for process automation; Data Analysis; and Data Mapping, Data Validations, and Debugging data issues.

Full-time.

EMPLOYER: JPMorgan Chase & Co.
WORKSITE LOCATION: Columbus, Ohio
HOW TO APPLY: To apply for this position, please email your resume to my.resume@jpmchase.com with following job ID clearly indicated: [MR-QAAS-ACW-002757]. JPMorgan Chase & Co. is an Equal Opportunity and Affirmative Action Employer, M/F/D/V.