𝐏𝐫𝐢𝐦𝐚𝐫𝐲 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:• Led projects that bridged technical solutions with business needs, ensuring alignment between stakeholders and the data analytics team.• Delivered actionable insights through advanced reporting and KPI tracking, leveraging tools like Power BI and SQL for data visualization and analysis.• Translated business challenges into technical requirements, working closely with engineering teams to develop scalable data solutions.𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:• Led the design and implementation of a robust data lakehouse architecture in Azure, enabling seamless integration and accessibility of multi-source data (Seaware, RingCentral, Fidelio, Cloud Suite) for analytical purposes.• Built and optimized ETL pipelines to extract, transform, and load data from APIs, relational databases, and third-party platforms into a centralized data warehouse.• Partnered with data analysts to provide reliable datasets, enhance predictive modeling capabilities, and address business-specific data needs.• Streamlined existing data workflows to improve performance and reduce data processing times, enhancing reporting efficiency for multiple departments.

• Responsible for building a data team of 5 people from scratch, working with leadership to bring attention to the importance of data, transforming the business into a data-driven organization.• Utilized Excel to automate data entry tasks within on-premises software, streamlining data processes and making it easier for users to enter and transfer information from various sources.• Led the migration of on-premises accounting software to a cloud-based ERP, helping free up computational power and resources that are essentially necessary while deploying an effective ERP solution.• Oversaw the development of ETL pipelines, centralizing business information within a data warehouse (BigQuery) to construct BI dashboards (Data Studio)• Streamlined accounting processes through the implementation of automation, utilizing REST API and Python to enhance efficiencies within invoicing, AR/AP, and returns.• Created BI dashboards, allowing the ability to track KPIs and access metrics to establish trends, patterns, and anomalies throughout various business areas.• Directly responsible for designing, developing, and maintaining databases (SQL and NoSQL), meeting the specific needs of multiple business units.• Automated recurring reports using SQL queries in Google Sheets and BigQuery, including Ad Hoc reporting based on stakeholder demand, reducing the time of execution from hours to mere minutes.• Led in data engineering, collecting source data periodically and sending it to the data warehouses.• Provided the organizational sales unit with a solution concerning forecasting, utilizing data in strategic production planning to ensure the avoidance of backorders.

• Automated eCommerce listing creation on several platforms, streamlining the processes for inputting product data and descriptions, increasing efficiencies, and a reduction in input errors.• Established an initiative concerning Google Ads data analysis to improve campaign performance, separating campaigns from each brand and hot items for each brand, allowing the ability to monitor each campaign’s performance, generating a better ROI.

• Held multiple positions beginning as an assistant role, and eventually moving into a senior-level statistician role with data quality control focus.• Responsible for managing a team of 4 people, overseeing the quality control of various statistical results to be published.• Led in multivariate analysis, performing analyses of data where there are multiple variables or observations for each unit or individual.

• Oversaw the development of various scripts and routines utilizing SAS and Microsoft Excel, assisting in processing and validating statistical results.• Managed the sample design of statistical studies and surveys, creating a framework that serves as the basis for selecting study and survey samples.