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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Renovate Data Systems
Reno
Estimated Salary
USD 75.000 – USD 95.000
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Are you passionate about transforming raw data into actionable business intelligence? Renovate Data Systems is seeking a highly skilled Data Analyst to join our dynamic team in Reno, NV. As a key player in our analytics department, you will drive decision-making processes through insightful analysis and compelling data visualization.

At Renovate, we pride ourselves on a culture of innovation and excellence. You will work with state-of-the-art tools and collaborate with cross-functional teams to solve complex business problems, helping us stay ahead in the competitive tech landscape.

Responsibilities

  • Collect and clean data: Gather, merge, and clean datasets from various internal and external sources to ensure accuracy and integrity for reporting.
  • Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and correlations that drive business growth.
  • Dashboard Creation: Design and develop interactive dashboards and reports using tools like Tableau or PowerBI for executive stakeholders.
  • Business Insights: Translate complex data findings into clear, concise, and actionable recommendations for product and marketing teams.
  • SQL Querying: Write efficient SQL queries to extract data from large databases and support ad-hoc reporting needs.
  • Process Improvement: Identify areas for process optimization and implement data-driven strategies to improve operational efficiency.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field is required.
  • Experience: 3+ years of professional experience in data analysis or a related role.
  • Technical Skills: Proficiency in SQL, Python, or R is essential. Experience with data visualization tools (Tableau, Looker, PowerBI) is a plus.
  • Excel: Advanced Excel skills, including VLOOKUP, Pivot Tables, and macros.
  • Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
  • Attention to Detail: Strong analytical mindset with a keen eye for detail and accuracy.

Required Skills

SQL Python Tableau PowerBI Excel Data Visualization Statistical Analysis Data Mining

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