Description
You are a strategic thinker with a passion for driving solutions in Data Visualization and Advanced Analytics. Youve found the right team to further your impact.
As a Data Visualization & Advanced Analytics Associate within JPMorgan Chase & Co. you will be responsible for designing developing and maintaining interactive dashboards and visualizations to support business decision-making. You will engage with end-users and business stakeholders to understand requirements and translate business needs into effective visual and analytical solutions. You will apply best practices in data visualization and advanced analytics manage data pre-processing workflows and optimize dashboard performance using tools like Tableau Sigma and Databricks Dashboards. You will also develop financial applications and analytics solutions utilizing ETL platforms and scripting languages for data extraction and transformation. Your role will involve handling multiple projects concurrently managing user permissions and fostering collaboration across cross-functional teams.
Job responsibilities
Design develop and maintain interactive dashboards and visualizations to support business decision-making leveraging large datasets to generate actionable insights.
- Engage with end-users and business stakeholders to understand requirements conduct design discovery meetings and translate business needs into effective visual and analytical solutions.
- Apply best practices in data visualization and advanced analytics ensuring clarity accuracy and user engagement.
- Manage and implement data pre-processing workflows including data cleaning transformation validation and management of complex data structures to ensure high-quality inputs for visualizations and analytics.
- Optimize dashboard performance load times and extract refresh cycles utilizing advanced features and concepts in Tableau Sigma Databricks Dashboards and other emerging visualization tools.
- Develop financial applications and analytics solutions supporting business decision-making through quantitative analysis and innovative workflow solutions.
- Utilize ETL platforms (such as Alteryx) and scripting languages (SQL Python R) for data extraction transformation and pre-processing.
- Handle multiple research analytics and visualization projects concurrently often under tight deadlines and with minimal supervision.
- Manage user permissions connection types and extract / hyper refresh strategies in Tableau while ensuring adherence to data management best practices.
- Maintain outstanding written and verbal communication skills fostering collaboration knowledge sharing and an inclusive diverse work environment across cross-functional and geographically dispersed teams.
- Demonstrate a strong customer-centric mindset and storytelling ability to communicate insights through visuals and analytics while continuously identifying opportunities for process improvement and innovative solutions.
Required qualifications capabilities and skills
Requires 5 years of relevant experience with a bachelors degree in a quantitative field and 3 years in advanced analytics within large data environments; masters degree.Demonstrates proficiency in Tableau / Sigma (3 years) and ETL tools (1 years) with strong knowledge of data management systems and processes.Applies advanced SQL and scripting (Python / R) for data extraction transformation and analysis.Responsible for managing and working with large databases understanding various data structures and applying common data transformation and validation methods.Must exhibit strong attention to detail problem-solving and critical thinking skills.Operates effectively in Agile fast-paced and dynamic environments often with minimal supervision.Communicates complex analytical concepts clearly to both technical and non-technical audiences.Dedicated to fostering an inclusive culture and valuing diverse perspectives within the team.Required Experience :
IC
Key Skills
Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics
Employment Type : Full-Time
Experience : years
Vacancy : 1