Resource Informatics Group
Senior Data Analyst
Resource Informatics Group, Irving, Texas, United States, 75084
Job Title: - Senior Data AnalystLocation: - Dallas, TXDuration: - 6+ MonthsExperience: - 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 andengineering to understand their data needs and provide data-driven insights and metrics toinform decision making.Effectively communicate findings and recommendations to stakeholders throughvisualizations, 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, andinsights that drive business value.What You'll Bring:
Experience in eCommerce and clickstream data analyticsPassion for problem-solving, analytical mindset with critical-thinking, and data skills.Excellent verbal and written communication skillsAbility 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.
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 andengineering to understand their data needs and provide data-driven insights and metrics toinform decision making.Effectively communicate findings and recommendations to stakeholders throughvisualizations, 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, andinsights that drive business value.What You'll Bring:
Experience in eCommerce and clickstream data analyticsPassion for problem-solving, analytical mindset with critical-thinking, and data skills.Excellent verbal and written communication skillsAbility 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.