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Principal Data Analyst

Job in Town of Germantown, Germantown, Washington County, Wisconsin, 53022, USA
Listing for: Continuus Technologies LLC
Full Time position
Listed on 2026-10-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Role Overview

The Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community.

Key Responsibilities
  • Lead enterprise-level, high-impact analyses that inform strategic decisions

  • Define and govern company-wide KPIs, metrics, and analytical frameworks

  • Translate ambiguous, complex business problems into structured analytical approaches

  • Influence executive decision-making through clear, compelling data storytelling

  • Partner with senior leadership to shape analytics strategy and priorities

  • Set standards for analytical rigor, experimentation, and data interpretation

  • Mentor Staff and Senior Analysts and elevate analytical excellence across teams

  • Drive improvements in data quality, metric consistency, and governance

  • Identify emerging trends, risks, and opportunities proactively

Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

  • 10+ years of experience in analytics or data-focused roles

  • Expert-level SQL and advanced analytical modeling skills

  • Extensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong statistical reasoning and business acumen

  • Proven ability to influence executive stakeholders through insights

Preferred Experience
  • Advanced proficiency in Python or R for analysis

  • Experience designing experimentation or causal analysis frameworks

  • Familiarity with data engineering and modern data architectures

  • Domain expertise (e.g., product, finance, HR, operations, growth analytics)

  • Experience shaping analytics strategy without direct people management

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