Remote Data Analyst for Business Insights

RemoteFetch

Detroit (MI)

Remote

USD 65,000 - 90,000

Full time

13 days ago
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Job summary

RemoteFetch in Detroit is seeking a qualified Data Analyst to mine and analyze datasets, prepare reports, and translate findings into actionable business insights. You will compile comprehensive analyses from diverse data sources and present clear recommendations that guide strategic decisions.

The ideal candidate holds a bachelor’s degree in a relevant field, 2–3 years of experience, and strong skills in data modeling, KPIs, and visualization.

Qualifications

  • Bachelor's degree in CS/Stats/Business or related field required.
  • 2-3 years of experience as Data Analyst/Data Scientist or similar role.
  • Proficient in data analysis, data mining and analytics.

Responsibilities

  • Extract, scrutinize and sort out relevant data
  • Assess and monitor data quality with the help of initial test runs
  • Establish automated data processes and track key performance indicators (KPI)
  • Record business requirements and conduct surveys using the available data
  • Interpret data using various data analysis tools
  • Generate data graphs, visualization, and dashboards
  • Draw inferences and provide insights in the form of reports or presentations
  • Stay updated about best data science practices and techniques

Skills

Data analysis
Data mining
Data visualization
Statistical thinking
Multitasking
Team collaboration
Business insight interpretation

Education

Bachelor's degree in Computer Science, Statistics, Business Management or related field
Master's degree in Data Science (preferred)

Tools

SQL
Oracle
JavaScript
SPSS
SAS

Job description

RemoteFetch in Detroit is seeking a qualified Data Analyst to mine and analyze datasets, prepare reports, and translate findings into actionable business insights. You will compile comprehensive analyses from diverse data sources and present clear recommendations that guide strategic decisions.

The ideal candidate holds a bachelor’s degree in a relevant field, 2–3 years of experience, and strong skills in data modeling, KPIs, and visualization.

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