Business Intelligence Analyst

Valley Bank • Morristown, NJ

14d

About The Position

Responsibilities include but are not limited to:
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 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.

Qualifications
Required Skills:
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 teams.
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.
Advanced knowledge of data structures, ability to manipulate data and to
visualize data effectively to communicate to a business audience.

Required Experience:
Bachelor's degree in a quantitative discipline, such as Business Analytics,
Data Science, Mathematics, Econometrics, Engineering, Sciences.
Minimum of 3 years working in a data analytics role with hands-on experience
in wrangling large data sets, building dashboards and visualizing key
metrics.
Experience working independently with business partners and diverse corporate
functions.
Demonstrated ability to work on complex BI implementation projects.

Preferred Experience:
Master's degree in a quantitative discipline.
Financial Services experience and knowledge of Retail/Commercial Banking
industry, products, and data highly desired.

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 teams.
• 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.
• Advanced knowledge of data structures, ability to manipulate data and to visualize data effectively to communicate to a business audience.
• Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
• Minimum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, building dashboards and visualizing key metrics.
• Experience working independently with business partners and diverse corporate functions.
• Demonstrated ability to work on complex BI implementation projects.

Nice To Haves

• Master's degree in a quantitative discipline.
• Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.

Responsibilities

• 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level