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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, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Role Overview

The Staff Data Analyst is a senior individual contributor who drives advanced analytics, sets analytical standards, and partners closely with leadership to influence strategic decisions. This role goes beyond reporting to shape how data is used across the organization through deep insights, strong business context, and analytical mentorship.

Key Responsibilities
  • Lead complex, high-impact analyses that inform strategic and operational decisions

  • Define and standardize KPIs, metrics, and analytical best practices

  • Translate ambiguous business questions into structured analytical approaches

  • Build and maintain advanced dashboards, models, and analytical frameworks

  • Partner with executives and cross-functional leaders to guide data-driven decision-making

  • Identify trends, risks, and opportunities through proactive analysis

  • Review and elevate the work of junior and senior analysts through mentorship

  • Improve data quality, documentation, and metric governance

  • Influence analytics roadmap and tooling decisions

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

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

  • Advanced SQL and strong proficiency in Excel or similar tools

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

  • Strong statistical reasoning and analytical problem-solving skills

  • Proven ability to communicate insights to technical and non-technical audiences

Preferred Experience
  • Experience with Python or R for analysis

  • Familiarity with data modeling and data engineering concepts

  • Experience working with executive stakeholders

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

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