Consultant Data Analytics And Reporting-Food

Job Purpose and Impact

The Analytics Engineer will prepare business relevant information and reduce time to insight by leading technical activities that enable information capture, business intelligence and analytics competency. In this role, you will ensure teams have the data needed to make timely, accurate and actionable insights by investing in the core capabilities of data management, data engineering and key decision support applications that consume data. You will be a key partner between business needs and data engineering and will deliver the final information product including the dashboards that enable business value.

Key Accountabilities

• Design and implement internal process improvements, optimize data delivery and create scalable data sets.
• Build existing data assets and prepare data to meet specific reporting and analytics needs.
• Build data solutions to enable automated and self service data consumption.
• Model, design, develop, test and implement complex backend and front end structures to meet business visualization, reporting and analytics requirements.
• Evaluate the performance of processes, services and outcomes and recommend performance improvement.
• Partner collaboratively with data engineers on complex infrastructure projects and advocate for and emphasize the business value of applications and offer mentorship and technical solutions to solve business problems.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
• Other duties as assigned.
  
  

• Bachelor’s degree in a related field or equivalent experience.
• Confirmed skills of enabling data content for reporting or analytics solutions.
• Minimum of four years of related work experience.
• Certification in a programming language.
• Confirmed skills in querying relational databases with query language.
• Confirmed experience working with large data store.
• Design and implement scalable data solutions using SQL, Snowflake, and Python to support advanced analytics, reporting, and business intelligence initiatives.
• Automate workflows and build low-code applications leveraging Power Automate, Power Apps, and Power Query to streamline data operations and enhance decision-making across teams.
• Strong understanding of Core data warehouse concepts.
• Experience in scheduling tools like Oozie ,DBT ,Apache airflow.
• Experience in Cloud platform is a plus.