Data Analyst

Location: New York City (Hybrid)

Overview

The Data Analyst will play a critical role in supporting USADATA’s audience segmentation, predictive modeling, and campaign measurement initiatives. This is a client‑facing role that requires strong presentation skills, as a main responsibility will be delivering data insights and recommendations directly to executive leaders at client organizations. The ideal candidate will pair technical expertise with the ability to translate complex data into clear, actionable strategies that drive client growth.

Key Responsibilities

Data Modeling

• Analyze initial customer files from clients to ensure data quality and fix formatting errors.

• Use analytical tools for audience segmentation and predictive modeling.

• Pull meaningful insights from analysis to guide client strategy.

• Present findings and strategic recommendations directly to client leadership teams in a clear, concise, and actionable manner.

Client Setup

• Configure client infrastructure to run matchbacks through a Streamlit app and write scripts for specific file formats.

• Use AWS and Snowflake to store, organize and analyze large volumes of data.

Monthly Matchback Process

• Work with account and strategy teams to understand campaign goals, KPIs, and reporting needs.

• Review customer files for completeness and quality.

• Run matchbacks through the Streamlit app, append links, and process results.

• Create pivot tables and analyze performance by various dimensions (e.g., month, business unit, geography).

• Communicate matchback results to client stakeholders, highlighting performance trends, opportunities, and recommendations for optimization.

Qualifications

• 3+ years of experience in a data analytics or marketing analytics role, preferably in a client-facing environment.
• Proficiency in Excel (advanced formulas, pivot tables, data visualization) and working knowledge of SQL for data querying and transformation.
• Strong analytical and problem-solving skills, with the ability to translate complex datasets into clear business insights and recommendations.
• Excellent communication and presentation skills, with experience delivering findings to senior or executive-level stakeholders.
• Detail-oriented and highly organized, capable of managing multiple client projects, data sources, and deadlines simultaneously.

Preferred Skills

• Experience with predictive modeling or segmentation tools (Faraday, Portrait Reports).

• Experience with data tools such as Snowflake, Tableau, AWS, Fivetran

• Familiarity with marketing campaign measurement and matchback analysis.

• Ability to write and troubleshoot basic scripts for data transformation.

Salary $60,000 - $68,000