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Data Analyst

New York City Metropolitan Area
Full-time
Posted 3 weeks ago
Associate
On-site
MLData ScienceAnalystData Infrastructure and Analytics and Business Consulting and Services

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Job Description

About Us

We're a fast-growing startup with proven Founders and team on a mission to help mid to large enterprises unlock the full value of their data through data monetization initiatives. Our platform and services empower organizations to transform raw data assets into actionable, revenue-generating products - whether by building internal data products, launching new data-driven services, or licensing data to external partners. We sit at the intersection of technology, strategy, and innovation bringing structure, speed, and scale to the complex process of data monetization.


The Role

As a Data Analyst at FirstParty, you'll be a technical data practitioner who can handle complex data challenges across diverse client environments. You'll work with terabytes of messy enterprise data, build production-grade data pipelines, and create analytics that directly influence multi-million dollar data products.


Key Responsibilities

  • Integrate Data from Multiple Sources: Contribute to the construction and monitoring of robust pipelines to combine data from APIs, databases, flat files, and streaming sources to produce requested data elements for clients and data products.
  • Perform Exploratory Data Analysis: Identify trends, patterns, differentiation, and value in complex datasets using SQL, Python, and other statistical analysis tools.
  • Ensure Data Quality: Identify and resolve data anomalies, perform quality audits, define improvement processes, and ensure compliance with deliverable requirements.
  • Write Complex SQL Queries: Extract, manipulate, and analyze data across multiple systems using advanced SQL including window functions, CTEs, and performance optimization.
  • Maintain Metadata Catalog: Update and enhance proprietary company and product metadata that is used to enrich client datasets.


Key Attributes & Qualifications

  • Technical Excellence: 2-5 years writing complex SQL queries and working with large datasets. Proficient in Python (pandas, numpy) with experience integrating data from multiple sources.
  • Data Quality Focus: Track record of identifying data anomalies, implementing quality checks, and ensuring reporting accuracy in high-stakes environments.
  • Problem Solver: Comfortable debugging complex data issues, tracing lineage through multiple systems, and finding root causes of discrepancies.
  • Cloud Data Platform Experience: Hands-on experience with at least one modern data warehouse (Redshift, BigQuery, Snowflake, Databricks,) at scale.
  • Project Management: Demonstrated ability to manage multiple concurrent projects, meet deadlines, and maintain quality standards across diverse client engagements.
  • Business Acumen: Can translate technical findings into business insights and communicate effectively with both technical teams and executives.
  • Growth Mindset: Eager to learn new tools, technologies, and domains. Views challenges as opportunities to expand skills.


Bonus Experience

  • Familiarity with modern data stack tools (dbt, Airflow, Soda, Great Expectations)
  • Statistical analysis or machine learning experience
  • Demonstrated excellence in Data Visualization
  • Background in consulting or client services


What You'll Get

  • Mastery of data challenges across the full spectrum of industries and data types
  • Direct exposure to how Fortune 500 companies monetize their data assets
  • Mentorship from experienced data professionals and business leaders
  • Clear career progression to Senior Data Analyst, Analytics Engineer, or Data Scientist roles
  • Ownership over projects that directly impact company growth and client success


Why This Role Matters

Data Analysts at FirstParty don't just analyze data—they build the technical foundation that enables enterprises to monetize their data assets. Your code will process billions of dollars in transactions, your pipelines will power real-time data products, and your analysis will directly influence how Fortune 500 companies think about data strategy and monetization. If you want to work at the intersection of technical excellence and business impact, this is the role for you.

Source: LinkedIn
Over 200 applicants

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