Expected work hours
Job Description
- Interpret business needs and requirements for key metrics, design and build intuitive dashboards and reports.
- Build and maintain robust data pipelines for a scalable, high-performance Business Intelligence environment, to be used by a large number of business users.
- Ensure high data quality and integrity, using known data sources for validation.
- Identify new BI capabilities such as conversational Business Intelligence to enable self-service and reduce dependence on custom-built dashboards.
- Interact independently with business partners on data needs and respond to data requests.
- Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.
Requirements
- Hands-on experience in data visualization and developing intuitive dashboards, using tools such as Tableau, PowerBI, Qlik.
- Experience in data extraction and data manipulation in cloud data environments (preferably Snowflake), using languages such as SQL, Python, Hive.
- High attention-to-detail with excellent problem-solving capabilities, and proven ability to make data-drive recommendations and drive continuous improvement.
- Collaborative approach and ability to partner effectively with business, data and technology team.
- Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute on multiple objectives.
- Knowledge and experience in the banking industry and banking systems.
- Financial Services experience and knowledge of Retail / Commercial Banking industry, products, and data highly desired.
- Advanced knowledge of data structures, ability to manipulate data and to visualize data effectively to communicate to a business audience.
- Experience working independently with business partners and diverse corporate functions.
- Demonstrated ability to work independently on complex BI implementation projects.
- Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences
- 3+ years working in a data analytics role with hands-on experience in wrangling large data sets, building dashboards and visualizing key metrics.
- Master's degree in a quantitative discipline.
Pay Range InformationExact compensation may vary based on skills, experience, and location.
Salary Grade Minimum - Annual$81,400.00
Salary Grade Maximum - Annual$140,500.00
Salary Grade Minimum - Hourly$39.13
Salary Grade Maximum - Hourly$67.55