Job Description
Join DataVista Solutions as a part-time Remote Data Analyst and transform raw data into actionable insights that drive business decisions. This flexible role offers the perfect blend of technical challenge and work-life balance, allowing you to contribute from anywhere in the US while making a tangible impact on our clients' success. We're seeking a detail-oriented professional with a passion for uncovering hidden patterns in complex datasets.
Our ideal candidate thrives in remote work environments and possesses strong analytical skills paired with business acumen. You'll collaborate with cross-functional teams to identify key metrics, design reports, and present findings to stakeholders. This position offers competitive compensation, flexible scheduling, and opportunities for professional growth in a supportive, innovative culture.
Responsibilities
- Analyze complex datasets using SQL, Python, and visualization tools to identify trends and business opportunities
- Develop interactive dashboards and reports using Tableau/Power BI to support data-driven decision making
- Clean, preprocess, and validate large datasets ensuring accuracy and consistency
- Collaborate with stakeholders to define KPIs and track performance metrics
- Present findings to leadership through clear visualizations and actionable recommendations
- Optimize data collection processes and implement quality control measures
- Stay current with industry trends and emerging analytical techniques
Qualifications
- 3+ years of experience in data analysis or related field
- Proficiency in SQL, Python (Pandas, NumPy), and Excel
- Experience with data visualization tools (Tableau, Power BI, or Looker)
- Strong statistical analysis skills and ability to interpret complex data
- Excellent communication skills with ability to translate technical insights for non-technical audiences
- Proven ability to work independently in remote settings
- Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
- Experience with cloud platforms (AWS, Azure, or GCP) preferred