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Continuus Technologies LLC

Continuus Technologies LLC

via Indeed

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Senior Data Analyst

Germantown, WI
Full-time
Posted 1/10/2026
Verified Source
Key Skills:
SQL
Data Visualization
Operational Analysis

Compensation

Salary Range

$40K - 70K a year

Responsibilities

Supporting strategic and operational decisions through data analysis, dashboard creation, and process improvement.

Requirements

Requires 5+ years in analytics with advanced SQL, BI tools, and data visualization experience; your background does not meet these core technical and experience requirements.

Full Description

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)

This job posting was last updated on 1/15/2026

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