About the role

  • Data Analyst partnering with business stakeholders and analysts for data collection and cleaning. Support departmental objectives through analytics on large datasets.

Responsibilities

  • Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning.
  • Provide inputs for data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives.
  • Growing an understanding of business needs and objectives.
  • Solve a range of mostly straightforward problems with some increased scope and complexity.
  • Developing professional with basic skill set and proficiency with procedures and analysis techniques.

Requirements

  • 2-5 years of experience in data analysis and reporting
  • Basic understanding of business and operating environment
  • Working knowledge of SQL, Python, Azure DevOps, R, Github
  • Strong understanding of advanced data cleaning and preprocessing techniques and tools
  • Effective skill with analytical techniques required for data usage and data cleaning
  • Skill interpreting, extrapolating and interpolating data for statistical research and modeling
  • Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)
  • Knowledge of data governance principles and practices
  • Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
  • Desired Qualification(s): Working experience connecting troubleshooting large data sets
  • Familiarity with statistical analysis

Benefits

  • Meaningful career experience
  • Highly competitive pay
  • Generous benefits and perks

Job title

Data Analyst

Job type

Experience level

JuniorMid level

Salary

$68,300 - $107,300 per year

Degree requirement

Bachelor's Degree

Location requirements

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