Job Description
About Us: Nevada Analytics Inc. is a cutting-edge data solutions firm based in Las Vegas. We specialize in helping businesses leverage big data to drive growth and efficiency. We are looking for a Senior Data Analyst to join our high-performing, fully remote team. This is a unique opportunity to work from home while contributing to high-impact projects for clients nationwide.
The Role: As a Senior Data Analyst, you will act as the bridge between our data and business strategy. You will be responsible for digging deep into complex datasets, building robust reporting frameworks, and providing actionable insights that help our clients succeed in a competitive market.
Why Join Us?
- 100% Remote Work: Enjoy the flexibility of working from your home office in Las Vegas or anywhere in the USA.
- Competitive Compensation: Salary range of $80k - $110k depending on experience.
- Modern Tech Stack: Work with the latest tools in SQL, Python, and Tableau/PowerBI.
- Professional Growth: Continuous learning opportunities and a supportive culture.
Responsibilities
- Develop and maintain complex data models and interactive dashboards using SQL and visualization tools.
- Perform rigorous data cleaning, integration, and transformation to ensure high-quality, reliable data.
- Conduct advanced statistical analysis to identify trends, patterns, and anomalies within large datasets.
- Translate complex data findings into clear, concise, and visually compelling reports for stakeholders.
- Collaborate with cross-functional teams to define key performance indicators (KPIs) and business objectives.
- Automate reporting processes to increase efficiency and reduce manual data entry errors.
Qualifications
- Minimum of 5 years of professional experience in data analysis, preferably in a remote or hybrid work environment.
- Proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python or R.
- Strong experience with data visualization tools such as Tableau, PowerBI, or Looker.
- Excellent problem-solving skills with the ability to think critically about data integrity and logic.
- Strong written and verbal communication skills to present data insights to non-technical audiences.
- Ability to work independently in a fully remote setting with minimal supervision.