Mid-level Data Analyst (W2 Role)

Job Locations: Multiple locations across the United States
Employment Type: Full-Time / Contract
Experience Level: Mid-Level to Senior-Level

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, interpreting, and presenting data to support business decisions and improve operational performance.

The successful candidate should have strong analytical and problem-solving skills, experience working with large datasets, and the ability to translate complex data into meaningful insights. The candidate should also be comfortable collaborating with cross-functional teams and communicating findings to business stakeholders.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop dashboards, reports, and visualizations to track key performance indicators (KPIs).
• Identify trends, patterns, and insights to support business decision-making.
• Write SQL queries to extract, manipulate, and analyze data from databases.
• Create and maintain reports using Power BI, Tableau, or similar visualization tools.
• Perform data validation, quality checks, and troubleshooting to ensure accuracy.
• Collaborate with business teams, stakeholders, and technical teams to understand data requirements.
• Prepare presentations and communicate analytical findings to stakeholders.
• Automate recurring reports and improve data analysis processes.
• Document data definitions, reporting procedures, and analytical methodologies.

Required Qualifications

• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL and relational databases.
• Experience with Microsoft Excel, including pivot tables, lookup functions, and data analysis.
• Hands-on experience with Power BI, Tableau, or other business intelligence tools.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to interpret complex datasets and present actionable insights.
• Excellent communication, documentation, and organizational skills.
• Ability to manage multiple priorities and meet project deadlines.

Preferred Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• Experience with Python or R for data analysis.
• Knowledge of data warehousing, ETL processes, and data integration.
• Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud.
• Experience with statistical analysis, data modeling, and KPI reporting.

Work Location

Positions are available across multiple locations in the United States. Specific work locations and onsite, hybrid, or remote arrangements will be discussed during the interview process.

Keywords: Data Analyst, SQL, Microsoft Excel, Power BI, Tableau, Python, Data Visualization, Data Cleaning, Data Reporting, Business Intelligence, KPI Reporting, Data Quality, ETL, Data Analytics.