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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst | Weekly Pay | San Jose, CA

DataDriven Analytics Corp
San Jose
Estimated Salary
USD 90.000 – USD 130.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Are you a data-driven professional seeking financial flexibility? Join DataDriven Analytics Corp in San Jose, CA, and enjoy the advantage of weekly pay while working with cutting-edge technology. We are looking for a talented Data Analyst to transform raw data into actionable business intelligence that drives growth.

In this role, you will play a pivotal part in our data strategy, working closely with executive leadership to interpret complex datasets. If you are passionate about uncovering trends and want a stable career path with immediate financial rewards, we want to meet you.

Responsibilities

  • Data Collection & Cleaning: Gather, clean, and preprocess large datasets from various sources using SQL and Python.
  • Dashboard Creation: Design and maintain interactive dashboards in Tableau and PowerBI to visualize key metrics for stakeholders.
  • Performance Reporting: Generate weekly and monthly analytical reports that track KPIs and business performance.
  • Statistical Analysis: Conduct in-depth analysis to identify patterns, trends, and correlations to support strategic decision-making.
  • Collaboration: Partner with product and marketing teams to translate data findings into concrete business recommendations.
  • Process Improvement: Identify inefficiencies in data pipelines and propose automated solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Tech Stack: Proficiency in SQL (Advanced), Python (Pandas, NumPy), and Microsoft Excel.
  • Visualization: Strong hands-on experience with visualization tools such as Tableau, PowerBI, or Looker.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical audiences.
  • Attention to Detail: A keen eye for detail and a rigorous approach to data integrity.

Required Skills

SQL Python Tableau PowerBI Data Visualization Excel Statistical Analysis Data Mining

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