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Senior Data Analyst

Germantown, WI, US

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Continuus Technologies LLC

What you’ll work on

Full posting

The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts.

  • Lead complex analyses to support strategic and operational decisions

  • Mentor junior analysts and support skill development

  • Develop and maintain dashboards, reports, and analytical models

From the employer’s posting
The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.
Key Responsibilities Lead complex analyses to support strategic and operational decisions Develop and maintain dashboards, reports, and analytical models
Review and improve analytical work for accuracy and clarity Mentor junior analysts and support skill development Improve data quality, documentation, and analytical processes
Lead complex analyses to support strategic and operational decisions Develop and maintain dashboards, reports, and analytical models Identify trends, risks, and opportunities using quantitative and qualitative data

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)
  • Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)
  • Ability to clearly communicate insights to technical and non-technical audiences
  • 5+ years of experience in analytics or data-focused roles

Preferred experience

  • Experience with Python or R for analysis
  • Knowledge of statistical methods and experimentation
  • Familiarity with data modeling or data engineering concepts
Qualification wording
Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)
Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)
Ability to clearly communicate insights to technical and non-technical audiences
5+ years of experience in analytics or data-focused roles
Experience with Python or R for analysis
Knowledge of statistical methods and experimentation
Familiarity with data modeling or data engineering concepts

Tools in this posting

  • Python
  • R
  • SQL
  • Excel
  • Looker
  • Tableau
  • Power BI
Source — Tool mentions in context
Preferred Experience - Experience with Python or R for analysis - Knowledge of statistical methods and experimentation
- 5+ years of experience in analytics or data-focused roles - Advanced SQL and strong proficiency in Excel or similar tools - Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)
- Advanced SQL and strong proficiency in Excel or similar tools - Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.) - Strong analytical reasoning and problem-solving skills

Job description

View original posting ↗

Role Overview

The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.

Key Responsibilities

  • Lead complex analyses to support strategic and operational decisions

  • Develop and maintain dashboards, reports, and analytical models

  • Identify trends, risks, and opportunities using quantitative and qualitative data

  • Define and standardize KPIs, metrics, and reporting frameworks

  • Partner with business leaders to frame problems and recommend solutions

  • Review and improve analytical work for accuracy and clarity

  • Mentor junior analysts and support skill development

  • Improve data quality, documentation, and analytical processes

Qualifications

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

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

  • Advanced SQL and strong proficiency in Excel or similar tools

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

  • Strong analytical reasoning and problem-solving skills

  • Ability to clearly communicate insights to technical and non-technical audiences

Preferred Experience

  • 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, operations, product analytics)

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on continuus.isolvedhire.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

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Pay

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Location & working pattern

Germantown, WI, US

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Work authorization

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Status in our records
Active
First seen by us
Jun 3, 2026
Recorded sightings
60
Last seen by us
Sep 25, 2026
Employer says posted
Jan 27, 2026

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