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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Newark Data Innovations
Newark
Estimated Salary
USD 30 – USD 45
Live Update
30 Agustus 2026
Deadline
30 Agu 2027

Job Description

About Us
Newark Data Innovations is a leading analytics firm dedicated to transforming raw data into strategic assets for our clients. We are currently looking for a detail-oriented and analytical Part-Time Data Analyst to join our dynamic team in Newark, NJ. If you are passionate about uncovering insights and have a knack for numbers, we want to hear from you.


Role Overview
In this part-time position, you will collaborate with our senior analysts to clean, organize, and interpret complex datasets. You will help build dashboards, generate reports, and provide data-driven recommendations that support business growth.


Why Join Us?
- Flexible Schedule: Work around your existing commitments.
- Competitive Pay: Hourly wage based on experience.
- Remote Options: Hybrid work environment available.
- Professional Growth: Mentorship from industry experts.

Responsibilities

  • Data Collection & Cleaning: Gather and preprocess large datasets from various sources, ensuring accuracy and consistency.
  • Dashboard Creation: Develop and maintain interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
  • Statistical Analysis: Perform exploratory data analysis (EDA) and statistical modeling to identify trends and patterns.
  • Report Generation: Create clear, concise, and actionable reports for stakeholders to support decision-making processes.
  • Database Management: Assist in querying databases using SQL and maintaining data integrity.
  • Collaboration: Work closely with marketing and operations teams to understand their data needs and provide technical support.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field. Equivalent experience will be considered.
  • Technical Skills: Proficiency in SQL for database querying and Python or R for data manipulation.
  • Visualization: Experience with BI tools such as Tableau, Power BI, or Looker.
  • Software Proficiency: Advanced Excel skills (Pivot Tables, VLOOKUP, Macros).
  • Analytical Mindset: Strong ability to interpret complex data and translate it into business insights.
  • Communication: Excellent verbal and written communication skills with the ability to present findings to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Excel Data Analysis Statistics ETL Data Visualization Reporting

Ready to Take This Challenge?

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