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Senior Data Analyst

Eames Consulting

full-remoteseniorcontractdataproduct-management United States Yesterday via LinkedIn
140,000 - 176,000 USD/annual

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Tags

SQLA/B TestingSnowflakeBigQueryRedshiftPower BITableauLookerPythonData Modeling

About the role

Role Overview

Senior Data Analyst (Product & Engineering) for a growing software development company. This is a fully remote (U.S.) contract role (8 months, potential extension) where you will own analytics initiatives that influence product strategy and performance.

Responsibilities

  • Write and optimize complex SQL queries across large-scale datasets.
  • Design and own scalable dashboards, reporting layers, and self-serve analytics.
  • Partner with product and engineering to define KPIs, instrument tracking, and evaluate feature performance.
  • Lead A/B testing and experimentation analysis; deliver actionable recommendations.
  • Work with structured and semi-structured data for advanced analytics use cases.
  • Contribute to ETL/ELT and help improve data pipeline performance and reliability.
  • Perform deep-dive analyses and translate findings into business/product insights.

Requirements

  • 5+ years as a data analyst or product analytics analyst.
  • Advanced SQL skills (e.g., CTEs, window functions, performance tuning).
  • Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Experience building dashboards with BI tools such as Power BI, Tableau, or Looker.
  • Proficiency with Python or R for analysis and data manipulation.
  • Solid understanding of data modeling and large/complex datasets.
  • Ability to collaborate directly with product and engineering teams.
  • Strong communication skills to influence non-technical stakeholders.

Nice to Have

  • Experience with dbt, Airflow, or other modern data stack tools.
  • Background in product-led or SaaS environments.

About Eames Consulting

Eames Consulting is a consulting firm that partners with growing software companies to staff specialized roles. The engagement described focuses on building modern, data-driven products in a technical, analytics-heavy environment.

Scraped 4/10/2026

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