Data Science & Analytics Manager

At Piper Sandler, we connect capital with opportunity to build a better future.

We believe diverse teams with unique backgrounds, skills and experiences yield more innovative solutions. Our mission is to recruit, develop, retain and engage a diverse, high-performing team.

Our business enables bright, committed people working in partnership within an environment that allows each person to achieve at a high level.

We commit to encouraging and valuing inclusivity because every partner brings unique perspectives that help us better serve our clients.

We are currently looking for a Data Science & Analytics Manager to support Financial Services in Minneapolis, MN .

As a Data Science & Analytics Manager , you will focus on understanding your clients’ business needs, realities, and pain points, becoming their trusted advisor in the realm of data.

Your responsibilities will include :

Responsibilities

Client Needs Assessment : You will work closely with clients to understand their specific requirements, challenges, and objectives related to data and analytics.

This involves identifying pain points and opportunities for improvement.

• Conceptual Solutions and Architectures : You will define conceptual solutions, architectures, and operating models. This includes designing strategies to leverage data effectively, ensuring scalability, security, and compliance.
• Project and Program Management : You will manage various data and analytics projects and programs from end to end. This involves overseeing project lifecycles, resource allocation, timelines, and deliverables.
• Data Science and Machine Learning : As part of your role, you’ll apply data science techniques and machine learning models to extract valuable insights from data.

This includes exploratory data analysis, feature engineering, model selection, and evaluation.

Robotic Process Automation (RPA) : You’ll also leverage RPA tools and techniques to automate repetitive tasks, streamline processes, and improve operational efficiency.

Collaborating with RPA developers and business analysts, you’ll identify automation opportunities and implement solutions.

• Team Leadership : As a manager, you’ll lead teams of data specialists. You’ll collaborate with them to produce high-quality project deliverables, ensuring alignment with client needs and business goals.
• Business Insights and Problem Solving : You’ll analyze purchase trends, customer data, and other relevant information to gain valuable business insights.

Your role is to develop strategies that address challenges logically and creatively.

As a leading investment bank, we enable growth and success for our clients through deep sector expertise, candid advice and a differentiated, highly productive culture.