Resource Informatics Group is hiring: Senior Data Analyst in Irving

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.

• 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.