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Onlineriver

Data Analyst

New YorkRemote · United States
Part Time · Technical
VERIFIED 1D AGO
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Role
age unknown
Open before alder tracked it
Payats field
$30–34 / hourposted
▼ −56% vs market median $153k
$62k$197k
Market p25–p75
$109k–$197k
New York · n=60 · 365d to 6 Nov
CompanyOnlineriver →
86open roles
Opened · 30d
+0
Closed · 30d
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30d window
Market
3,495open · Analytics / Data science
All analytics / data science
7,753open
All tracked boards · live 8 Nov · n=3,495
PythonSQL

We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support data-driven decision-making processes. The Data Analyst will work closely with various departments to identify business needs, assess data quality, and develop actionable insights.

Responsibilities

  • Collect, process, and analyze large datasets to identify trends, patterns, and insights.
  • Develop and implement data collection systems, data analytics, and other strategies that optimize efficiency and quality.
  • Prepare reports and dashboards to communicate findings to stakeholders in clear, actionable formats.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Collaborate with cross-functional teams to define data requirements and ensure the accuracy of reporting.
  • Assist in the design and development of databases, data systems, and data collection strategies.
  • Monitor data integrity, identify data discrepancies, and recommend corrective measures.
  • Create and maintain technical documentation for data processes and workflows.
  • Support business decisions through ad hoc analysis as needed.

Skills

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
  • Proven experience as a Data Analyst or similar role, with a strong track record of working with large datasets.
  • Proficiency in data analysis tools such as Excel, SQL, R, Python, or Tableau.
  • Experience with database management systems and ETL processes.
  • Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong ability to translate complex data into understandable, actionable insights.
  • Ability to work independently as well as in a collaborative team environment.
  • Familiarity with data visualization tools like Power BI, Tableau, or similar platforms.
  • Strong verbal and written communication skills.
Source · OnlineriverFirst seen 4 NovOriginal ↗