Data Analyst II leveraging data to solve business problems and improve customer experience at Pizza Hut Global. Collaborate with teams to analyze operational data for strategic decisions.
Responsibilities
Data Analysis & Reporting: Collect, clean, and analyze data from multiple sources to produce key business insights. Design and deliver actionable reports and dashboards in reporting platforms.
Ad-Hoc Analysis: Provide on-demand analysis to address specific business queries and support initiatives.
Business Insights & Strategy: Collaborate with business leaders to deliver business insights to support decision-making across various departments, shaping strategy and creating understanding.
Data Modeling: Use historical data to create predictive models and correlation outcomes, helping to plan for KPI performance and make proactive decisions.
Presentation Storytelling: Create and present back analysis in Excel / PPT format to clearly represent the data.
Requirements
2+ years' experience in a similar role, with strong expertise in statistical and regression analysis.
Experience in the restaurant operation industry is a plus.
Solid understanding of statistical analysis and techniques.
Proven experienced with regression and correlation analysis.
Proficiency in SQL and experience with data analysis tools such as Excel are required.
Knowledge of programming languages like R or Python is a plus.
Familiar with data modeling, ETL processes, and cloud-based data platforms.
Expertise in BI-based reporting tools (Tableau, PowerBI, Looker Studio,...) app-based dashboards, and data visualization similar to Domo.
Ability to take data, turn it into insights and report back in clear concise format with recommendations for action.
Proficiency in SQL, and experience with data analysis tools like Excel and Power BI.
Familiarity with data modeling, ETL processes, and cloud-based data platforms.
Strong understanding of statistical analysis and techniques.
Strong presentation and story-telling skills.
Proven organization and documentation skills.
Relationship-building skills – and ability to gain influence with key stakeholders to drive decisions.
Highly proactive, resilient, and self-motivated.
Strong English communication skills and the ability to work effectively and collaborate in an international working environment.
Benefits
One of Pizza Hut’s core values is to believe in all people, and we create environments where differences are sought out and celebrated.
Data Analyst facilitating data - driven decisions for marketing initiatives at Ameriprise India LLP. Delivering analytical insights and collaborating with stakeholders for informed business strategies.
Senior Consultant in Mercer leading analytics for health and benefits programs, collaborating with teams to expand client solutions and revenue. Requires extensive experience in data analytics and consulting.
Principal Analyst on the Merchandising Data and Analytics Enablement Team at Walmart. Leading advanced modeling, experimentation, and data integration to improve merchandising decision - making.
Senior Data Analyst contributing to exploratory data analysis for Walmart Connect. Collaborating with teams to enhance data solutions using SQL and advanced analytics.
Application Support Analyst optimizing scheduling templates for improved patient access at Ohio State University Physicians. Collaborating with teams to enhance operational efficiency in healthcare.
Data Analyst driving data - informed decision making for product, customer experience, and operations. Collaborating with cross - functional teams and delivering insights through trusted analytics.
Data Analyst supporting hospital and ancillary relations quality improvement at IEHP. Lead data analysis, reporting, and collaboration on healthcare performance initiatives.
Marketing Data Analyst supporting Ennoble Care's marketing function through data analysis and insights. Collaborating with senior leadership to improve marketing effectiveness across healthcare services.
Marketing Analyst focusing on data analytics to support sales and marketing efforts in insurance products. Conducting analysis, developing reports, and supporting distribution objectives.
Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.