Data Analyst

Data Analyst

Job Title: Data Analyst

Location: Remote

Employment Type: Contract

Pay Rate: $50- $55/hr

Overview

Our client is seeking a Data Analyst to transform complex data into actionable business insights. This role will be responsible for collecting, analyzing, and visualizing data through interactive dashboards and reports using Tableau and/or Power BI. The ideal candidate is highly analytical, detail-oriented, and experienced in translating data findings into strategic recommendations for business stakeholders.

Key Responsibilities

• Gather, clean, validate, and analyze data from multiple sources to support business decision-making

• Design, develop, and maintain dashboards, reports, and visualizations using Tableau and/or Power BI

• Create and optimize SQL queries to extract and manipulate large datasets

• Identify trends, patterns, and opportunities through data analysis and reporting

• Collaborate with business stakeholders to understand reporting requirements and KPIs

• Present findings and recommendations to leadership and cross-functional teams

• Monitor data quality and implement processes to ensure data accuracy and consistency

• Develop automated reporting solutions to improve efficiency and reduce manual processes

• Support ad hoc reporting and analysis requests as needed

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field

• 3+ years of experience in a Data Analyst, Business Analyst, or similar analytics role

• Strong experience with Tableau and/or Power BI dashboard development

• Advanced SQL skills for data extraction and analysis

• Experience working with large datasets and relational databases

• Strong proficiency in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and advanced formulas

• Excellent analytical, problem-solving, and communication skills

• Ability to present technical findings to non-technical audiences

Preferred Qualifications

• Healthcare Experience

• Experience with Python or R for data analysis and automation

• Knowledge of data warehousing concepts and ETL processes

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform

• Familiarity with data modeling and database design

• Experience using tools such as Snowflake, Databricks, BigQuery, or Redshift