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1 день назад

Senior Data Analyst (AI)

Формат работы
hybrid
Тип работы
project
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (AI): Collecting, cleaning, validating, and analyzing large data sets for business intelligence and data science projects with an accent on data quality, statistical analysis, and governance. Focus on developing anomaly detection and validation processes, maintaining statistical models, and resolving complex data integrity issues.

Location: Vienna, Virginia, United States (Hybrid)

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Partner with business stakeholders, technology teams, end users, analysts, and subject matter experts to capture data needs and develop technical requirements.
  • Define data definitions, business rules, data quality requirements, and conduct data UAT, accuracy, validation, and integrity research.
  • Compile, clean, organize, and analyze data sets for business intelligence, data science, reporting, and business-to-business outcomes.
  • Perform data audits and resolve complex data quality issues using profiling, cleansing, monitoring, outlier detection, imputation, and anomaly detection.
  • Generate descriptive statistics and partner with data science teams to maintain statistical models.
  • Build working relationships and lead small projects and initiatives.

Requirements

  • 4–7 years of experience in data analysis and reporting.
  • Complete knowledge and understanding of the relevant business area or specialization.
  • Skills in data manipulation and scripting languages such as SQL, Python, or R, including advanced data cleaning and preprocessing techniques and tools.
  • Effective skills with AI tools and techniques, data cleaning, and analytical techniques required for data usage.
  • Advanced statistical analysis skills, including measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression.
  • Advanced ability to interpret, extrapolate, and interpolate data for statistical research and modeling.
  • Knowledge of data structures and ability to extract data sources such as PySpark and PowerBI.
  • Strong understanding of data governance principles and practices.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.

Culture & Benefits

  • Hybrid contractor work model in Vienna, Virginia.
  • Both C2C and W2 options are available.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, voluntary plan, and 401(k) benefits.
  • Equal opportunity employment is provided.

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