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Urgently Hiring: Data Analyst - Jersey City, NJ

Nexus Analytics
Jersey City, NJ
Estimated Salary
USD 90.000 – USD 130.000
Live Update
13 Agustus 2026
Deadline
13 Agu 2027

Job Description

Join Nexus Analytics' dynamic data team in Jersey City and transform raw insights into actionable business strategies! We're seeking a sharp Data Analyst to drive data-driven decision-making across our financial services portfolio. This urgent opening offers immediate impact in a collaborative, growth-oriented environment where your analytical skills will directly shape client success.

Why Nexus Analytics? We pride ourselves on fostering innovation, professional development, and work-life balance. Our Jersey City hub features modern amenities, flexible work options, and competitive benefits including health insurance, 401(k) matching, and generous PTO.

Responsibilities

  • Design and execute complex data queries using SQL to extract, clean, and transform datasets
  • Develop interactive dashboards in Tableau/Power BI for real-time performance monitoring
  • Analyze market trends and KPIs to identify growth opportunities and risk factors
  • Collaborate with cross-functional teams to translate business questions into analytical frameworks
  • Create automated reporting pipelines to deliver weekly/monthly performance insights
  • Present findings to executive stakeholders through compelling visualizations and narratives
  • Maintain data integrity across multiple database platforms (PostgreSQL, Snowflake)

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau or Power BI)
  • Strong Python/R programming skills for statistical modeling
  • Experience with ETL processes and cloud data platforms (AWS/Azure)
  • Excellent communication skills for translating technical concepts to non-technical audiences
  • Proven ability to manage multiple projects with competing deadlines
  • Financial services industry background preferred

Required Skills

SQL Tableau Python Data Analysis Statistics Business Intelligence ETL Data Visualization PostgreSQL Power BI

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