Senior Data Analyst

ICONMA, LLC

  • Charlotte, NC
  • 14 days ago
  • $65.17–$70.17 Per Hour

Highlights

Responsibilities: Applies knowledge of best practices derived from experience and external networking to solve a range of complex technical and operational problems. Experience using programming languages such as Python or R to support data analysis, automation, or advanced analytical problem-solving.

Numbers & Facts

LocationCharlotte, NC
Salary$65.17–$70.17 Per Hour

Description

Our Client, a Commercial Banking company, is looking for a Senior Data Analyst for their Charlotte ,NC/Atlanta, GA/Richmond , VA  location.
 
Responsibilities:
  • Applies knowledge of best practices derived from experience and external networking to solve a range of complex technical and operational problems.
  • Takes a new perspective on existing solutions to solve complex problems.
  • Exercises judgment based on the analysis of multiple sources of information.
  • Leads small projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives.
  • Impacts a range of client, operational, project or service activities within own team and other related teams.
  • Works independently and receives minimal guidance"
 
Requirements:
  • In-depth knowledge of principles, practices, theories, and/or methodologies associated with the professional discipline (e.g., information technology, project management, finance, risk management, etc.).
  • Focus on process automation to improve efficiency
  • Understands foundational concepts of other related professional disciplines.
  • Experience managing small-mid size projects with some complexity.
  • Ability to interpret and explain complex information to a range of audiences and build consensus among different stakeholders.
  • Plus/Nice to Have Skills/Prior Experiences:
  • Experience working with modern cloud-based data and analytics platforms, such as AWS and Snowflake, to support scalable reporting and insight generation.
  • Experience working with HR data, including applying data standards, business rules, and analytics to support workforce insights and decision-making.
  • Experience using programming languages such as Python or R to support data analysis, automation, or advanced analytical problem-solving.
 
Why Should You Apply?

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