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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst

NexusTech Analytics
Washington Court House
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
25 September 2026
Deadline
25 Sep 2027

Job Description

Join Our Tech Revolution in Washington Court House, Ohio!

NexusTech Analytics is urgently seeking a visionary Data Analyst to transform raw data into strategic business intelligence. As a leader in innovative tech solutions, we empower our team to solve complex challenges using cutting-edge analytics. This full-time role offers competitive compensation, comprehensive benefits, and the opportunity to impact high-stakes decisions at a top-tier tech company. If you thrive in fast-paced environments and possess a passion for data-driven storytelling, apply now!

Responsibilities

  • Design, develop, and maintain automated reporting systems using SQL and Python
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Create interactive visualizations using Tableau and Power BI for executive dashboards
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Validate data integrity and implement robust data governance protocols
  • Present findings to stakeholders through clear, compelling narratives
  • Optimize data collection processes to enhance efficiency and accuracy

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional experience in data analysis or business intelligence
  • Expert proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and A/B testing methodologies
  • Experience with cloud platforms (AWS, Azure, or GCP) and ETL processes
  • Excellent communication skills with ability to translate complex data for non-technical audiences

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS ETL Processes

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