Data Analyst (Python, Qlik Sense, Data Analytics)

Role & responsibility

• J.P. Morgan is seeking a highly skilled Data Analytics Engineer Contractor to join our team. The ideal candidate will have advanced expertise in complex data models and Python coding, with a focus on unifying and cleaning large datasets (mainly Excel) for centralized analytics. Proficiency in Python Coding is required, it would be advantageous to understand Qlik Sense, Tableau, and/or ThoughtSpot. This role is key to building unified data dashboards that drive business insights from thousands of different data sources across Excel docs, salesforce data cloud and internal event tools.

• Key Responsibilities:

• Work alongside data teams to implement complex data models for business analytics and reporting.

• Design and maintain interactive dashboards using Qlik Sense, Tableau, and/or ThoughtSpot.

• Collaborate with cross-functional teams to integrate data from multiple sources.

• Use advanced Python skills to:

o Consolidate and clean large, disparate datasets (primarily Excel).

o Automate data ingestion, validation, and transformation for analytics platforms.

o Cleanse data to ensure that intricate business level needs are stitched together leveraging python to ensure all data flows accurately into our dashboards on Qlik sense.

• Provide insights and recommendations based on data analysis.

• Ensure data accuracy, integrity, and security.

• Support the delivery of our digital events platform and visualization of technological advancements.

Qualifications:

• Advanced understanding of data models and data lake construction.

• Proven expertise in advanced Python coding, including:

o Unifying and cleaning large datasets (especially Excel).

o Automating data workflows and integration.

• Proficiency in Qlik Sense, Tableau, and/or ThoughtSpot.

• Experience building unified dashboards from multiple data sources.