Data Analyst

| Hybrid
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Overview
The Data Analyst will support customer domain by analyzing vast amounts of raw data to find patterns and help to build models that will help improve customers' experience, improve processes, and mitigate risks for the business stakeholders. Will utilize skills as a Data Analyst to extract valuable business insights, and make real-time predictions to improve the profitability of our business or how our business operates.
Job Description

  • Work with team members and business stakeholders to understand the business problem and the objectives.
  • Support project leads to identify valuable data sources, and work with our IT team to collect such data
  • Undertake preprocessing of structured and unstructured data
  • Under the direction of manager, analyze large amounts of information to discover trends and patterns
  • Utilize and implement statistical models for data analysis
  • Participate as valuable team member to help build and maintain predictive models, neural networks, and machine-learning algorithms
  • Present information using data visualization techniques
  • Propose data science solutions and strategies to business problems
  • Ensure solutions are feasible to implement and achieve the objectives
  • Perform other related duties as required and assigned by manager
  • Demonstrate behaviors which are aligned with the organization's desired culture and values
  • Perform other related duties as required and assigned
  • Proactively look for potential problem areas and take action to reduce or eliminate them
  • Good team player, who pays attention to details
  • Demonstrate behaviors which are aligned with the organization's desired culture and values

Ideal Candidate will have the following:

  • BS/MS in Computer Science, Engineering, Applied Math or related discipline; graduate degree in Data Science or other quantitative field is desirable
  • Experience using data visualization and reporting tools - Tableau, PowerBI
  • Self-starter with excellent communication and presentation skills
  • Strong understanding of algorithms and data structures
  • Strong proficiency with one of the tools: R, SQL, and Python
  • Strong quantitative, math, and problem solving skills
  • Strong business acumen and ability to interface effectively with management team
  • Curious and creative mind that can apply strong analytic and problem solving capabilities to tackle real-world problems
  • Good team player, who pays attention to details

Years of Experience:
3Education:
Bachelor's Degree

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