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Information Technology šŸ¢ Full Time ā­ļø Verified

Senior Data Analyst

Nexus Insights Group
New York
Salary Estimate
USD 95.000 – USD 145.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to transform raw data into actionable business intelligence for a global leader? Nexus Insights Group is seeking a Senior Data Analyst who thrives at the intersection of complex data modeling and strategic storytelling. In this high-impact role, you will be the bridge between technical data engineering and executive decision-making, utilizing advanced analytics to uncover hidden trends and optimize our global operations.

We offer a modern, hybrid work environment where data isn't just a resource—it's our competitive advantage. If you are a curious problem-solver with a passion for precision and a drive to influence business strategy through evidence, we want to hear from you.

Responsibilities

  • Architect and maintain complex SQL queries to extract insights from multi-terabyte cloud data warehouses like Snowflake and BigQuery.
  • Design, develop, and automate high-fidelity dashboards in Tableau and Power BI that monitor core KPIs and drive executive strategy.
  • Conduct deep-dive exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities for revenue growth.
  • Partner with Product and Marketing teams to design and analyze A/B tests, providing statistical rigor to experimental results.
  • Lead the data validation and auditing processes to ensure the highest standards of data integrity and reporting accuracy.
  • Translate ambiguous business questions into structured analytical frameworks and deliver compelling presentations to non-technical stakeholders.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Analytics.
  • 3+ years of professional experience in data analytics, business intelligence, or a similar data-centric role.
  • Expert-level proficiency in SQL, including advanced joins, window functions, and query optimization.
  • Strong command of Python or R for data manipulation, statistical analysis, and automated reporting.
  • Proven expertise in data visualization tools (Tableau, Power BI, or Looker) with a portfolio of impactful dashboards.
  • Demonstrated experience with cloud data platforms and an understanding of ETL/ELT pipelines and data warehousing concepts.

Required Skills

SQL Python Tableau Power BI Statistics Data Modeling Snowflake BigQuery A/B Testing Business Intelligence

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