• Collaborate with key stakeholders to understand their data needs, reporting requirements, and performance metrics• Work closely with operation/data teams to define key performance indicators (KPIs) and quality metrics that measure network efficiency.• Performs the research and information gathering necessary to define, design, create, and document business requirements and specifications as it relates to the development of reporting solutions• Manages and maintains current report catalog including automating manual reports as well as improvements to existing reports.• Design, schedule, execute and monitor ETL jobs using Alteryx, SSIS, including necessary exception handling & balance and control measures• Perform data profiling, data standardization, data transformations, data loads using SQL, SSIS, Alteryx etc.• Write efficient and scalable SQL queries, stored procedures, and database scripts to manipulate and transform large volumes of data.• Experienced in data to prep, blend, and analyze data using a repeatable workflow, enabling deployment and sharing analytics for deeper insights in hours.• Involved in all aspects of the dashboard development life cycle, from the initial kickoff through the requirements analysis, design and implementation• Performing and documenting data analysis, data validation, and data mapping/design• Utilized Tableau Desktop to create multiple rich dashboards that appropriately told stories of business status and success, strengths and weaknesses, and potentials; also offered at a glance, visual representations of profitability, products, and customers.• Performed extensive GAP analysis in the project as there were numerous 'As-Is' and 'To-Be' conditions.• Created action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau.• Building, publishing customized interactive reports and dashboards, report scheduling using Tableau server.

• Prioritize and communicate user and technical product requirements to various engineering teams. • Work with agile methodologies, cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers), backlog grooming, and tooling. • Establish the vision for managing data as both and asset and as a product. Drive that vision to commercial opportunity and viability. • Active Participant in evaluating key technologies (Snowflake, dbt, Ascend, Databricks, Delta Lake etc.) for chick fil-A’s Data and Analytics Eco system. • Understands Agile software methodology and tools encouraging an iterative mindset as the team prepares for broad transition to agile. Partner with data engineering, data science, and other analytics team to establish data sources that serve the organization’s needs, identifying and advocating for process improvements and industry best practices • Adhere to processes to ensure data pulled from various sources meets quality standards, is curated, and enhanced for analytical use and there is a "single source of truth". • Work with data architects to build the foundational extract / load / transform process and regularly review the architecture and recommend effectiveness improvements • Provide hands-on technical team leadership in data engineering design and implementations including data ingestion, data models, data structures, data storage, high-throughput data processing, data pipelines, and data monitoring at scale • Build and maintain environments, processes, functionalities, and tools to improve all stages of data lake implementation and analytics solution development, e.g., proof of concepts, prototypes, and production • Maintain awareness of relevant technology trends, product updates (i.e. AWS Services), Computational, Curation, Visualization. • Drive analytics strategy that fosters data culture through trusted data products and simplified user experience

• Collaborate with internal and external stakeholders to manage data logistics, including data transfers, understanding data structures, and business rules to enable project execution. • Works with business stakeholders and IT to translate business logic into scalable data and analytic solutions. • Design, develop, and implement advanced analytical architectures to enable business insights. • Proactively identify and implement process improvements to drive our data platform forward with a metrics-driven, continuous improvement approach • Bring data and analytics ideas to close gaps, create opportunities, and increase business value through analytics innovations • Define data needs and evaluate data quality for applicability to posed problems. • Demonstrate expertise in Data Analysis, Data Validation, Data Cleansing, Data Profiling, and identifying data inconsistencies using complex SQL queries and Alteryx ETL workflows on various source systems. • Spearhead multiple projects concurrently and independently administer analytical projects and develop innovative, intuitive, and data-driven methods for measuring program effectiveness. • Prepare and present technical specifications and documentation for Alteryx ETL workflows which support various Tableau dashboards. • Alteryx-Experience in Alteryx Designer, Alteryx Server along with the tools within Alteryx, such as data investigation, parsing and transforms, interface, developer, and Tableau tools. • Proficient in building, publishing, and scheduling Alteryx ETL, and data validation Workflows. • Construct the customize interactive Tableau dashboards using multiple data sources, custom queries, and data blending features. • Originate and publish customized interactive reports, dashboards, and report scheduling using Tableau server. • Participate in Agile Scrum process to work projects from inception through deployment using various Agile Tools such as Rally, Jira, Version One, Mingle, and Kanban.