Job Title: Data Analytics Intern

Location: Fairfield, NJ

Duration: full-time (up to 40 hours per week), for a period of 10 weeks (June 8 – August 14)

About Us: Our mission is to help clients achieve their financial goals both for today and tomorrow through financial expertise, strong leadership, and loyal relationships. This is achieved through deep-rooted guiding principles of strong values, including ethics, integrity, and giving back to the communities we serve.

Our Department: The data analytics department at a bank is responsible for collecting, analyzing, and interpreting large volumes of financial and customer data. This team uses advanced statistical methods and technology tools to uncover trends, identify opportunities, and detect risks. Their insights help inform strategic decisions, improve customer experience, and ensure regulatory compliance throughout the organization.

Job Overview: As a Data Analytics Intern, you will have the opportunity to gain hands-on experience in various data analytics functions. You will work closely with the data analytics team to support daily operations and contribute to ongoing projects. Interns will work with data systems and develop skills in querying, analyzing, and visualizing data to support business lines. They'll gain exposure to key areas such as data governance, data quality, and management, learning how data underpins strategic decision-making within the bank.  This internship is designed to provide you with practical experience and insights into the data analytics field.

• Assist with data collection, cleaning, and preprocessing.
• Support the development and maintenance of data dashboards and reports.
• Help analyze large datasets to identify trends, patterns, and insights.
• Participate in data visualization and presentation of findings to stakeholders.
• Assist with the implementation of data analytics projects and initiatives.
• Provide general administrative support to the data analytics team.

• Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI preferred.
• Excellent communication and interpersonal skills.
• Ability to handle confidential information with discretion.
• A proactive and positive attitude, with a willingness to learn.