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Senior Data Analyst - Remote (Milwaukee, WI)

Stratosphere Data
Milwaukee
Estimated Salary
USD 75.000 – USD 95.000
Live Update
21 Juni 2026
Deadline
21 Jun 2027

Job Description

Are you a detail-oriented data enthusiast looking for a career-defining opportunity? Stratosphere Data is seeking a Senior Data Analyst to join our growing team in Milwaukee, WI. In this fully remote role, you will drive data-driven decision-making, uncover hidden trends, and empower stakeholders with clear, actionable insights.

As a key player in our analytics department, you will bridge the gap between complex datasets and business strategy, ensuring our clients receive the highest level of service backed by robust data.

Responsibilities

  • Data Mining & Cleaning: Extract, transform, and load (ETL) large datasets from various sources to ensure data accuracy and integrity.
  • Visualization: Design and maintain interactive dashboards using Tableau or Power BI to track key performance indicators (KPIs) and progress.
  • Reporting: Create comprehensive weekly and monthly reports that highlight critical business insights and trends to executive leadership.
  • SQL Proficiency: Write complex SQL queries to retrieve specific data points and perform advanced data manipulation.
  • Stakeholder Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Process Improvement: Identify opportunities to streamline data workflows and improve overall data infrastructure efficiency.

Qualifications

  • Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Experience: Minimum of 3-5 years of professional experience in data analysis, preferably in a remote or hybrid setting.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL) and programming languages such as Python or R.
  • Tools: Advanced knowledge of Excel (VLOOKUP, Pivot Tables) and visualization tools like Tableau or Power BI.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.
  • Attention to Detail: Meticulous approach to data accuracy and a strong sense of ownership over the data you manage.

Required Skills

SQL Python Tableau Power BI Data Visualization Data Mining ETL Excel Statistics

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