Senior Data Analyst

2 weeks ago


Irving, United States Resource Informatics Group Full time

Job Title: - Senior Data Analyst
Location: - Dallas, TX
Duration: - 6+ Months
Experience: - 8 + Years

What You'll Do:

  • Translate product requirements into concise analytical plans and analyze large scale clickstream data across different dimensions and attributes from various data sources.
  • Employ appropriate statistical techniques to develop analytical methodologies to address business requests.
  • Help create strategy for clickstream data assets including Data Management and Governance, Data Quality Standards, Accessibility, Storage and Scalability, etc.
  • Partner with data scientists and other teams including product management and
  • engineering to understand their data needs and provide data-driven insights and metrics to
  • inform decision making.
  • Effectively communicate findings and recommendations to stakeholders through
  • visualizations, presentations, and other storytelling methods.Ensure data quality and accuracy by developing and implementing data management policies and procedures.
  • Leverage BI tools such as Looker, Tableau and Power BI to develop and maintain reports and dashboards entailing a comprehensive view of business performance.
  • Perform ad hoc analyses with accuracy and clarity to f identify trends, patterns, and
  • insights that drive business value.
What You'll Bring:
  • Experience in eCommerce and clickstream data analytics
  • Passion for problem-solving, analytical mindset with critical-thinking, and data skills.
  • Excellent verbal and written communication skills
  • Ability to write code in Python/R, or equivalent language for data and trend analysis.
  • Advance knowledge of MS Office, SQL, NoSQL, and cloud technologies like GCP Big Query.
  • Well-versed experience working with large datasets, adaptable and innovative at finding solutions, and telling stories backed by data.
  • In-depth knowledge of visualization tools, data modelling, data transformation, and data visualization.
  • Strong experience supporting and working with cross-functional teams in a dynamic business environment.
  • (Preferred) Familiarity with A/B testing methodology and solid foundation in statistics.


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