• Lead the architecture and design of Toast’s product analytics data ecosystem, spanning product telemetry, event pipelines, analytics-ready datasets, and semantic views. • Establish scalable data models that support product analytics, experimentation, executive reporting, and AI-powered insights. • Design frameworks for core analytics concepts such as sessions, identity resolution, feature usage tracking, and lifecycle metrics. • Develop and maintain reliable analytics layers of the product data warehouse using modern modeling frameworks. • Create reusable analytics datasets, standardized metrics, and canonical models used across product teams. • Implement automated data validation, monitoring, and quality controls to ensure reliable product data. • Partner with engineering teams to define and enforce product telemetry and instrumentation best practices. • Establish governance processes that ensure consistent metric definitions and high-quality data across domains. • Partner with analysts, data scientists and product managers to ensure the data foundation supports experimentation, dashboards, analytical studies, and AI workflows. • Serve as the technical authority on product data architecture, reliability and governance. • Mentor team members to help elevate the organization’s ability to leverage product data effectively.

Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda The Channel Operations Analyst – Reporting & Analytics is responsible for building, maintaining, and standardizing reporting and analytics that enable execution across Barracuda’s Channel organization. This role ensures that sellers, leaders, operations, finance, and marketing all operate from a shared, trusted, and well-defined data foundation. Leveraging Salesforce (SFDC) and Power BI, this role delivers cohesive, executive ready reporting that aligns to Barracuda’s official reporting definitions. The focus is not just data availability, but accuracy, transparency, consistency, and usability, reinforcing Salesforce and governed BI assets as the source of truth for Channel performance. What you’ll be working on - Build and maintain standardized Channel reporting and dashboards using Salesforce and Power BI to support sellers, leadership, and cross functional partners. - Ensure reporting aligns to and reinforces approved Barracuda reporting definitions, metrics, and hierarchies, reducing ambiguity and conflicting views of performance. - Partner with Sales Operations, Finance, Marketing, and Channel leadership to translate business needs into scalable, repeatable analytics solutions. - Own the end-to-end lifecycle of Channel analytics—from requirements gathering and data validation to visualization, rollout, and adoption. - Create cohesive reporting experiences that connect performance, pipeline, coverage, and program insights into a unified narrative. - Monitor data quality and proactively identify gaps, inconsistencies, or upstream issues that impact trust and decision-making. - Support monthly, quarterly, and annual operating cadences by delivering timely, executive ready insights. - Continuously improve reporting performance, usability, and automation to reduce manual effort and increase self-service access. What you bring to the role - 3–6+ years of experience in Sales Operations Analytics, Business Intelligence, or Reporting roles, preferably within a SaaS or technology environment. - Strong hands-on experience with Salesforce reporting and data models, and Power BI dashboard development. - Proven ability to standardize metrics and enforce clear definitions across stakeholders with competing perspectives. - High attention to detail and a strong bias toward data accuracy, transparency, and governance. - Ability to communicate insights clearly to both technical and nontechnical audiences. - Proficiency in Excel and PowerPoint for analysis and executive presentation. Nice to have - Experience supporting Channel or partner-led go-to-market models. - Familiarity with data governance frameworks or reporting enablement best practices. - Exposure to additional data platforms (e.g., Databricks, SQL-based environments). What you’ll get from us A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are many opportunities for cross training and the ability to define your next career step within Barracuda. - Equity, in the form of non-qualified options - High-quality health benefits - Retirement Plan with employer match - Career-growth opportunities - Flexible Time Off and Paid Time Off benefits The anticipated on target earning (OTE) range for this role is $105,000.00 to $135,000.00. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws. At Barracuda, we believe in fair and equitable compensation practices that reflect both market realities and the unique circumstances of each geographical location. We recognize that cost-of-living disparities, market conditions, and other factors can significantly impact compensation expectations in different regions. The compensation range provided in this job description is for illustrative purposes only and may not reflect the actual compensation offers for the position in your location. Final compensation will be determined based on a variety of factors including the candidates’ qualifications and experience. #LI-Remote

Anika Systems is a fast-growing, woman-owned small business that specializes in providing innovative IT solutions for federal government agencies. Our expertise lies in accelerating delivery in Data and Analytics, Intelligent Automation, Application Development, and IT Modernization. We are currently expanding our federal team and are seeking a passionate and talented Data Scientist. This opportunity is 100% remote. Clearance: Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance As a Data Scientist at Anika Systems, you will play a pivotal role in enhancing sophisticated dashboards that engage users and emphasize key data points, with a specific focus on specialized reporting for digital assets. This role involves extensive data integration, agile development, and a keen ability to adapt to rapidly changing automation needs and priorities. You will assist in applying industry best practices, creating conceptual business models, and addressing relevant issues to ensure effective solutions. Your expertise will also be crucial in assessing the operational and functional baseline of systems, defining engagement strategies, and meeting organizational needs. Responsibilities and Duties: Data Management: - Cleanse, organize, and translate large volumes of data in various file formats, including digital asset transactions and data supporting tax non-compliance detection. Data Integration: - Manually and automatically load data into SAP IQ and Oracle databases. Data Curation: - Implement data curation strategies to promote data ingestion, integration, quality, and access efficiency. Reporting Enhancement: - Expand reporting methodologies to address data compilation, visualization, and analysis needs for Criminal Investigation and civil business units. Automation: - Automate routine criminal investigative tasks to enhance efficiency and secure data access from systems-of-record and other program information systems. - Integrate with various automation systems, including Robotic Process Automation and client Systems of Record. Document Compilation and Analytics: - Perform criminal investigation case-level document compilation, indexing, searching, and analytics using natural language processing tools.Create dashboard formats incorporating data visualization, analytics, and AI-supported data management and interpretation tools. Big Data Analytics: - Conduct Big Data Analytics studies and analysis, focusing on detecting non-compliance in digital asset transactions. - Perform standard univariate and multivariate statistical analyses, including clustering techniques, multiple regression, and factor analysis. - Apply Artificial Intelligence, incorporating "Trustworthy AI" principles to eliminate bias and unintended consequences. - Develop data visualization and dashboarding solutions. - Promote data science adoption among frontline employees through coaching, feedback, and training. Qualifications: - Bachelor's Degree in a related field or comparable education and experience. - 5 or more years of job-related experience. - Experience with SAS, R, SQL, and Python.

• Analysis and Planning of Loads/Pipelines: Assess the architecture and requirements of the Data Warehouse. • Map data, transformations and processes to GCP services (Cloud Storage, BigQuery, Dataproc). • Define data migration strategy (full load, incremental, CDC). • Develop a data architecture plan on GCP. • Data Design and Modeling on GCP: Design table schemas in BigQuery considering performance, cost and scalability. • Define partitioning and clustering strategies for BigQuery. • Model data zones in Cloud Storage (Bronze, Silver and Gold). • Development of ELT/ETL Pipelines: Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery. • Translate business logic and existing transformations into GCP. • Implement data validation and quality mechanisms. • Infrastructure Provisioning and Management: Use IaC tools (Terraform) to provision and manage GCP resources (BigQuery datasets/tables, Cloud Storage buckets, Dataproc clusters). • Configure and optimize Dataproc clusters for different workloads. • Manage networking, security (IAM) and access in GCP. • Performance and Cost Optimization: Optimize BigQuery queries to reduce costs and improve performance. • Tune and optimize Spark jobs on Dataproc. • Monitor and optimize GCP resource usage to control costs. • Data Security and Governance: Implement and ensure data security in transit and at rest. • Define and enforce IAM policies to control access to data and resources. • Ensure compliance with data governance policies. • Monitoring and Support: Troubleshoot performance and functional issues in data pipelines and GCP resources. • Documentation: Document the architecture, data pipelines, data models and operational procedures. • Communication: Communicate effectively with team members, stakeholders and other company areas. • Jira / Agile Methodologies: Familiarity with agile methodologies, their ceremonies and proficiency with Jira.