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Data Analyst - Night Shift (Sacramento, CA)

TechInnovate Solutions
Sacramento, CA
Estimated Salary
USD 85.000 – USD 110.000
Live Update
11 Agustus 2026
Deadline
11 Agu 2027

Job Description

Join TechInnovate Solutions, a leader in data-driven tech innovation, as a Night Shift Data Analyst in Sacramento. This role offers the unique opportunity to transform complex datasets into actionable insights while supporting our global operations during critical off-peak hours. We're seeking analytical minds passionate about driving business intelligence in a dynamic, 24/7 environment.

As a key member of our data team, you'll collaborate with cross-functional stakeholders to optimize processes, uncover trends, and deliver strategic recommendations. Our Sacramento hub combines cutting-edge technology with a collaborative culture, offering competitive compensation and career advancement opportunities.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create automated dashboards and reports using Tableau/Power BI for executive decision-making
  • Support global operations through real-time data monitoring during night shift hours
  • Collaborate with engineering teams to improve data collection and processing pipelines
  • Present findings to stakeholders through clear visualizations and documentation
  • Ensure data integrity and compliance with privacy regulations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with night shift or rotational schedule exposure
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong experience with cloud platforms (AWS/GCP) and ETL processes
  • Ability to work independently and make data-driven decisions with minimal supervision
  • Excellent problem-solving skills with attention to detail in high-pressure scenarios

Required Skills

SQL Python Tableau Power BI AWS Data Visualization ETL Statistical Analysis

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