The Business Intelligence Analyst interprets business needs, builds dashboards, maintains data pipelines, ensures data quality, and mentors others in a data-driven culture.
Job Summary & Responsibilities
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.
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.
Top Skills
Hive
Power BI
Python
Qlik
Snowflake
SQL
Tableau
Valley Bank Morristown, New Jersey, USA Office
70 Speedwell Ave, Morristown, New Jersey, United States, 07960
Similar Jobs
Fintech • HR Tech
The Senior Analytics Engineer will design and maintain ELT pipelines, manage data layer for CX, and partner with teams to transform data into actionable insights.
Top Skills:
PythonSQL
Biotech
The Senior Business Intelligence Analyst will architect critical analytical frameworks, provide insights for decision-making, and mentor junior analysts while collaborating across teams.
Top Skills:
Data Visualization PlatformLookerExcelMicrosoft PowerpointPower BIPythonRSnowflakeTableau
AdTech
The Lead Staff Business Intelligence Analyst drives data-driven decision-making across various teams, develops insights capabilities, and manages BI teams while employing advanced analytics techniques.
Top Skills:
DbtExcelPower BIPythonRSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



