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Data Analyst

Job in Paterson, Passaic County, New Jersey, 07544, USA
Listing for: Vortalsoft Inc
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Analyse complex data sets to identify trends, patterns, and anomalies.
  • Develop insightful reports, dashboards, and visualizations to communicate key findings to stakeholders.
  • Extract, transform, and load (ETL) data from various sources for analysis and reporting purposes.
  • Provide recommendations and actionable insights based on data analysis.
  • Collaborate with stakeholders and cross-functional teams to understand data requirements and support data-driven decision-making.
  • Work closely with various teams to ensure seamless data integration and support data-related projects.
  • Develop and implement data governance frameworks, policies, and procedures to maintain data integrity and consistency.
  • Establish data quality standards, data definitions, and data classification protocols.
  • Prepare and submit reports to stakeholders/ authorities as per established timelines.
Required skills
  • 3+ years of experience in a similar role
  • Proficiency in data analysis tools and languages (e.g., PostgreSQL, SQL, Python) for extraction, analysis, and reporting.
  • Strong proficiency in Excel/Google Sheets for data manipulation, analysis, and reporting (experience with formulas, pivot tables, and complex data sets).
  • Proven track record of delivering actionable insights that drive business results.
  • Strong communication and interpersonal skills, ability to collaborate cross-functionally, and capable of conveying complex data insights to diverse audiences.
  • Proactive and self-motivated with an ability to work independently and collaboratively in a fast-paced environment.
  • Proficiency in Power BI is a plus.
  • Experience in machine learning and advanced analytics is a plus.
  • Familiarity with data modeling and warehousing concepts.
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