Remote Data Analytics Specialist Biometric Data Insights

EventMakers Entertainment

Town of Norway (WI)

On-site

USD 46,000 - 58,000

Full time

14 days+
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Job summary

EventMakers Entertainment seeks a Data Analytics Specialist for a US-based contract role. The candidate will perform advanced data analysis, data mining, and statistical modeling, focusing on biometric passport data to derive actionable insights.

Strong programming skills in R and Python are essential, with experience in SAS and SQL-based databases. The role requires independent work and collaboration with multiple teams to support business decisions.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Mathematics or a related field.
  • 3+ years of experience in data analytics roles.
  • Experience with biometric passport data is highly preferred.
  • Strong knowledge of statistical methods and tools (R, Python, SAS).
  • Familiarity with SQL-based DBs (SQL Server, Oracle) and ETL processes.
  • Excellent analytical and problem-solving skills; detail-oriented.

Responsibilities

  • Apply statistical methods to analyze large data sets and identify patterns and trends.
  • Work with biometric passport data to extract insights and improve data quality.
  • Develop and implement data models and algorithms to enhance analysis workflows.
  • Collaborate with cross-functional teams to translate business needs into data-driven recommendations.
  • Communicate complex findings clearly to non-technical stakeholders.

Skills

Data analytics
Data mining
Statistical modeling
R
Python
SAS
SQL
Biometric data awareness

Education

Bachelor's degree in Data Science
Computer Science
Mathematics

Tools

R
Python
SAS
SQL Server
Oracle
ETL

Job description

EventMakers Entertainment seeks a Data Analytics Specialist for a US-based contract role. The candidate will perform advanced data analysis, data mining, and statistical modeling, focusing on biometric passport data to derive actionable insights.

Strong programming skills in R and Python are essential, with experience in SAS and SQL-based databases. The role requires independent work and collaboration with multiple teams to support business decisions.

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