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Senior Data Analyst - Remote - New York, NY

Apex Data Systems
New York, NY
Estimated Salary
USD 85.000 – USD 120.000
Live Update
5 Mei 2026
Deadline
5 Mei 2027

Job Description

The Opportunity: Apex Data Systems is seeking a detail-oriented and analytical Senior Data Analyst to join our innovative team in New York. This is a fully remote position, allowing you to collaborate with world-class engineers and strategists from anywhere in the US. You will play a pivotal role in transforming raw data into actionable business intelligence that drives our growth.

Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and a culture that prioritizes continuous learning and autonomy. If you are passionate about uncovering insights and love solving complex problems, this is the place for you.

Responsibilities

  • Data Acquisition & Cleaning: Gather, integrate, and clean large datasets from various sources to ensure accuracy and integrity.
  • Dashboard Creation: Design and develop interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
  • Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and anomalies in data.
  • Reporting: Generate regular and ad-hoc reports for stakeholders, translating technical findings into business-friendly insights.
  • Collaboration: Work closely with product managers and engineering teams to define data requirements and improve data infrastructure.
  • Process Improvement: Identify inefficiencies in current data processes and recommend automated solutions.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • Experience: 3+ years of experience as a Data Analyst or in a similar analytical role.
  • Technical Skills: Proficiency in SQL (PostgreSQL/MySQL), Python or R for data manipulation.
  • Visualization: Strong experience with data visualization tools (Tableau, Power BI, Looker).
  • Communication: Excellent verbal and written communication skills with the ability to present data to non-technical audiences.
  • Tools: Familiarity with ETL tools and big data technologies (e.g., Hadoop, Spark) is a plus.

Required Skills

SQL Python Tableau Data Analysis Statistical Modeling Data Visualization ETL Excel

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