Job Description
Join DataVance Solutions as a Night Shift Data Analyst and become the backbone of our data-driven decision-making process. This critical role offers the unique opportunity to work during off-peak hours, ensuring uninterrupted access to systems while maintaining work-life balance. We're seeking a detail-oriented professional who thrives in quiet, focused environments to transform complex datasets into actionable insights that drive our business forward.
This position includes competitive equity options, allowing you to share in our company's growth and success. You'll collaborate with cross-functional teams to identify trends, optimize operations, and support strategic initiatives. If you're passionate about uncovering hidden patterns in data and prefer a non-traditional work schedule, this is your chance to excel in a supportive, innovative environment.
Responsibilities
- Analyze large datasets using SQL, Python, and advanced Excel techniques to identify trends and anomalies
- Create interactive dashboards and visualizations using Tableau/Power BI to communicate findings to stakeholders
- Develop automated reporting systems to monitor KPIs and business metrics
- Collaborate with cross-functional teams to translate business requirements into data solutions
- Ensure data integrity through rigorous validation and quality control processes
- Present insights through concise, impactful reports and presentations
- Support ad-hoc analysis projects for executive decision-making
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis with night shift or remote work preference
- Advanced proficiency in SQL and Python (Pandas, NumPy)
- Expert knowledge of data visualization tools (Tableau, Power BI)
- Strong statistical analysis and problem-solving abilities
- Experience with ETL processes and data warehousing concepts
- Ability to work independently with minimal supervision in a night shift environment
- Excellent communication skills with the ability to translate complex data for non-technical audiences