Wells Fargo Senior Data Management Analyst SDI Payments Analytcs 

India, Karnataka, Bengaluru 

291627441

Data Management Analyst forAnalytics

In this role, you will:

• Engage with stakeholders on use case discovery to identify relevant data sources, systems and transformations required to successfully meet objectives.
• Collaborate on the development of project specifications with internal podmates (analyst, visualizer, lead) and jointly present solutions to stakeholders and users to gain alignment in advance of execution.
• Participate in utilizing data visualization best practices to tell stories that drive both engagement and action; influence partners to integrate data into decision-making, increase data literacy, and build acceptance of tools, programs, and services.
• Develop queries and other programmatic logic to effectively source, aggregate and combine data in line with product / project initiatives.
• Create, deliver, and maintain large, scalable, and sustainable self-service reporting and dashboard products.
• Proactively manage risk including measures to minimize inaccuracy and clarify the meaning of data which is delivered.
• Document development processes, key decisions made and any risks or open items.
• Support transition of code to production environments.

Required Qualifications:

• Highly collaborative and inclusive approach with proven track record of delivering acknowledged value
• 4+ years of Data Management, Business Analysis, Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of experience with BI tools such as Tableau or Power BI
• 2+ years of SQL experience
• Must-have skills: Teradata/any other RDBMS, experience in creating DQs/Controls and with trend/variance analysis.

Desired Qualifications:

• Experience in statistical analysis
• A storyteller with the demonstrated ability to create compelling narratives from data.
• Knowledge of Treasury management products.
• Experience with master reference data such as Customer hierarchies, legal entities, and product taxonomies.
• Knowledge and understanding of Big Data technologies (Data lake, cloud-based infrastructure), architectures that support real-time analytics; and flexible data models to support querying of unstructured data.
• Agile methodology experience.
• Good-to-have skills: BigQuery, Python, Hadoop, Data Lakes, Big Data Accelerator technologies (Dremio, DataBricks, Snowflake) to optimize big data visualization.
• Banking domain knowledge especially Treasury management related.

25 Aug 2024

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.