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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Night Shift

DataDriven Solutions Inc.
San Antonio
Estimated Salary
USD 70.000 – USD 95.000
New
Live Update
9 September 2026
Deadline
9 Sep 2027

Job Description

Join DataDriven Solutions Inc. as a Night Shift Data Analyst in San Antonio, TX! We're seeking analytical minds to transform raw data into actionable insights while enjoying competitive compensation and equity options. This role supports our global operations during off-peak hours, offering flexibility and accelerated career growth.

Our ideal candidate thrives in fast-paced environments and will drive data-driven decisions that shape our strategic initiatives. You'll collaborate with cross-functional teams to optimize processes and deliver measurable business impact.

Responsibilities

  • Execute complex data analysis using SQL, Python, and advanced Excel techniques
  • Create compelling visualizations and dashboards using Tableau and Power BI
  • Develop automated reporting systems for real-time business metrics
  • Collaborate with stakeholders to define analytical requirements and KPIs
  • Perform statistical modeling and predictive analytics for operational forecasting
  • Document data methodologies and maintain data governance standards
  • Present findings to leadership teams with actionable recommendations

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 exposure
  • Expert proficiency in SQL, Python (Pandas/NumPy), and data visualization tools
  • Strong statistical knowledge with experience in A/B testing and regression analysis
  • Experience with cloud platforms (AWS/GCP) and big data technologies
  • Exceptional problem-solving skills with attention to detail
  • Ability to work independently during night hours with minimal supervision

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Data Governance A/B Testing Predictive Modeling

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