Senior Data Analyst — Hybrid (BI & Forecasting)

DLA Piper; New York (NY); Hybrid; USD 90,000 - 143,000; Full time

Job summary

DLA Piper in the United States invites a Senior Data Analyst to join the Data Analytics group. You will lead data-driven forecasting, manage analytics projects, and build advanced models using SQL, Python, DAX, and Power BI/SSRS to support strategic decisions.

The role requires collaboration with FP&A and senior finance leaders, mentoring junior analysts, and delivering timely, accurate dashboards. A bachelor’s degree in a related field and 4+ years of experience are expected.

Qualifications

• Bachelor’s degree in data science/analytics or related field.
• 4+ years of experience as a Data Analyst or similar role.

Responsibilities

• Utilize Power BI and other advanced analytics tools to deliver comprehensive analytics, forecasting, reporting and insight-driven solutions.
• Collaborate with FP&A, Service Delivery, Senior Finance leadership and other key stakeholders to identify and prioritize complex business problems.
• Implement best practices to enhance data integrity.
• Drive and manage large-scale analytical projects spanning multiple teams.
• Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.
• Analyze trends and derive actionable insights to address complex business challenges.
• Design and develop advanced solutions to streamline processes and improve data quality.
• Champion continuous improvement initiatives to enhance operational efficiency.
• Engage with stakeholders at all levels to understand needs and provide tailored data solutions.
• Demonstrate strong communication and financial storytelling with technical and non-technical audiences.

Skills

SQL

Python

Power BI

Data Visualization

Excel

DAX

Tableau

Education

Bachelor's degree

Tools

SSRS

Power BI Report Builder

SQL Server

Python

Tableau

Job description

DLA Piper in the United States invites a Senior Data Analyst to join the Data Analytics group. You will lead data-driven forecasting, manage analytics projects, and build advanced models using SQL, Python, DAX, and Power BI/SSRS to support strategic decisions.

The role requires collaboration with FP&A and senior finance leaders, mentoring junior analysts, and delivering timely, accurate dashboards. A bachelor’s degree in a related field and 4+ years of experience are expected.