Data Analyst

Piper Companies is seeking a Data Analyst to join a an Investment Management company located in Wayne, PA . This is a hybrid role, with 3 days a week onsite.

Responsibilities of the Data Analyst:

• Monitoring and managing data exceptions and validation alerts. Responsible for data validation queue.
• Collecting, analyzing, and interpreting data to identify trends and opportunities for improvement, while developing dashboards to track KPIs.
• Collaborating with business partners to understand data needs and providing insights to support strategic initiatives.
• Ensuring data accuracy through regular audits and validation.
• Working with vendors and internal systems to improve quality and timeliness of data.

Qualifications for the Data Analyst:

• 3-5 years of experience as a Data Analyst, preferably in finance.
• Proficiency in data analysis tools like Excel, SQL, Tableau, or Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication skills with a customer-centric focus.
• Ability to work independently and as part of a team, with a keen attention to detail and commitment to data accuracy.
• Comfortable working in a fast-paced, high-impact environment.
• Experience with CRM systems (e.g., Salesforce).
• Knowledge of financial products and services.
• Advanced statistical analysis skills.
• Bachelor's degree (preferably in Finance, Economics, Mathematics, Data Science, or Computer Science) is required.

Compensation for the Data Analyst:

• Salary : $80,000-$110,000, depending on experience
• Comprehensive Benefits : Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law

This job opens for applications on 3/27/2025. Applications for this job will be accepted for at least 30 days from the posting date.

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Keywords: Data analysis, Excel, SQL, Tableau, Power BI, Data validation, Data accuracy, KPIs, Dashboards, Investment management, Finance, Enterprise data warehouse, Audits, Compliance, Data modeling, ETL, Data visualization, Business intelligence, Database management, Query optimization, Reporting, Automation, Statistical analysis, Big data, Predictive analytics