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Information Technology 🏢 Contract ⭐️ Verified

Data Analyst - Weekly Pay

DataDriven Solutions Inc.
San Francisco
Estimated Salary
USD 35 – USD 60
New
Live Update
6 Mei 2026
Deadline
6 Mei 2027

Job Description

DataDriven Solutions Inc. is seeking a talented Data Analyst to join our dynamic team in San Francisco. This contract position offers weekly pay, providing you with consistent and timely compensation for your work.

As a Data Analyst, you will be responsible for collecting, processing, and performing statistical analysis on large datasets. You will work closely with cross-functional teams to drive data-informed decisions and support our business objectives.

We offer a competitive hourly rate and a flexible work environment. If you are a data enthusiast with a passion for turning data into actionable insights, we encourage you to apply.

Responsibilities

  • Collect, clean, and analyze large datasets to identify trends and patterns.
  • Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or Excel.
  • Collaborate with stakeholders to understand business requirements and translate them into data solutions.
  • Perform ad-hoc data analysis and provide insights to support decision-making.
  • Monitor and track key performance indicators (KPIs) and report on their status.
  • Ensure data quality and accuracy through regular audits and validation processes.
  • Document data processes and methodologies for future reference.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
  • 2+ years of experience in data analysis or a similar role.
  • Proficiency in SQL and experience with relational databases.
  • Strong knowledge of data visualization tools (Tableau, Power BI, etc.).
  • Experience with programming languages such as Python or R.
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and ability to work independently.

Required Skills

SQL Python Tableau Excel Data Visualization Statistical Analysis Data Cleaning Stakeholder Collaboration

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