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Day Shift Python Data Analyst Jobs in Germantown, WI

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Hybrid (3 days onsite per week) Duration : ASAP - May 2025 Perks : Competitive Rates, Benefits ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Experience with Python or R for analysis * Knowledge of statistical methods and experimentation * Familiarity with data modeling or data engineering concepts * Domain expertise (e.g., finance, HR ...

Try new things, learn new skills and discover what you excel at-all from Day One. We are seeking a Data Analyst to support the design, development, and implementation of new functionality within ...

Try new things, learn new skills and discover what you excel at-all from Day One. We are seeking a Data Analyst to support the design, development, and implementation of new functionality within ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

... day, please apply today. Please follow this link for a closer look at what it's like to work at ... The Data Analyst III will work independently with various groups, leaders and enterprise ...

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Day Shift Python Data Analyst information

See Germantown, WI salary details

$34.6K

$84.1K

$138.4K

How much do day shift python data analyst jobs pay per year?

As of Jul 12, 2026, the average yearly pay for day shift python data analyst in Germantown, WI is $84,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 per year, depending on experience, location, and employer.
What cities near Germantown, WI are hiring for Day Shift Python Data Analyst jobs? Cities near Germantown, WI with the most Day Shift Python Data Analyst job openings:
Principal Data Analyst

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 3 days ago


Job description

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