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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Weekend Shift) - DC/NY Remote

Streamline Analytics
Washington, DC
Estimated Salary
USD 75.000 – USD 95.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

We are urgently hiring a talented Data Analyst to join our growing team, specifically for our Weekend Shift operations. If you are based in the Washington DC or New York area and looking for a flexible work arrangement with remote options, this is your chance to advance your career.

At Streamline Analytics, we value precision, innovation, and data-driven decision-making. As a Weekend Data Analyst, you will play a pivotal role in transforming complex datasets into actionable insights that drive our business strategy. We offer a competitive salary and a dynamic work environment for the right candidate.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies to support strategic decision-making.
  • Develop and maintain interactive dashboards using Tableau or Power BI to visualize key performance indicators (KPIs).
  • Perform data cleaning, validation, and preprocessing to ensure high data quality.
  • Collaborate with cross-functional teams to gather requirements and deliver accurate reporting solutions.
  • Generate weekly and monthly performance reports for stakeholders.
  • Identify opportunities for process improvement through rigorous data analysis.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 2+ years of experience in data analysis, preferably within a corporate environment.
  • Proficiency in SQL for data extraction and querying.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Strong analytical mindset with the ability to solve complex problems.
  • Excellent communication skills to present findings to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Data Analysis Statistics Data Visualization Excel R

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