• Design, build, and maintain high-quality dimensional data models and ELT pipelines that support marketing analytics across Paid Marketing, SEO, and Retailer Marketing, and attribution • Work closely with Data Scientists, Analysts, Data Engineers, and Marketing stakeholders to understand analytical needs, translate business questions into data requirements, and deliver trusted, decision-ready data assets • Lead efforts in data modeling, metric definition, testing, and documentation, owning data quality and resolving issues at their root cause across critical marketing workflows • Set standards and guide execution for marketing data pipelines, reviewing designs and implementations to ensure reliability, scalability, and analytical usability • Improve and evolve existing marketing data pipelines and workflows to reduce manual effort, improve performance, and increase the speed and confidence of analysis • Develop scalable analytics engineering patterns, including dimensional models, testing frameworks, and monitoring approaches, to support evolving marketing measurement needs.

What You'll Do About the Role The Senior Manager of Financial Insights is a role within Avalara's Global Analytics and Insights organization. You will deliver accurate, data-driven financial insights that inform strategic decision-making across the company. Partnering with the CFO, Finance, and department leaders, you will analyze our performance, model financial impacts, and develop defensible forecasts that guide operational and investment decisions. You will serve as the organization's financial insights expert — connecting business drivers to financial outcomes, interpreting the implications of strategic choices, and enabling a deeper understanding of how decisions translate to revenue, margin, and profitability. You will report to the Sr Director of Value Creation Insights. This position is remote in the United States. (#LI-Remote) What Your Responsibilities Will Be Responsibilities Financial Analysis & Forecasting - Manage accurate, transparent financial models and forecasts that inform short- and long-term business planning. - Evaluate the financial impact of strategic and operational decisions, providing applicable insights to the CFO and business leaders. - Conduct scenario analysis and sensitivity modeling to assess potential risks and outcomes. - Translate projects into costs and track results against projections. - Be a trusted advisor for financial performance management and forecasting processes. Strategic Decision Support - Partner with leaders including General Managers (GM's), Accounting, Financial Planning and Analysis, Sales, Marketing, Product, and Operations to assess costs of business strategies. - Deliver clear, data-backed recommendations that align with Avalara's growth and profitability goals. - Support strategic planning, investment evaluations, and cost optimization plans with detailed financial insights. - Communicate complex financial concepts and trends in a clear, narrative-driven format tailored for executive audiences. Performance Measurement and Reporting - Maintain standard reporting and KPI frameworks to measure important financial and operational performance metrics. - Provide regular performance updates and variance analyses to senior leadership with proposed actions to mitigate risk moving forward. - Improve financial data accuracy, reporting processes, and business intelligence assets. - Create scalable reporting mechanisms that improve transparency and reduce dependency on ad hoc analyses. Operational Partnership & Enablement - Collaborate with business and finance partners to define financial success metrics and performance drivers. - Identify trends and opportunities to improve forecasting accuracy and business efficiency. - Ensure data integrity across systems, leading structured validation and transformation projects. - Mentor analysts and peers on financial modeling, data interpretation, and insight generation best practices. What You'll Need to be Successful What You Need to Succeed - 8+ years of experience in financial planning and analysis, business insights, or strategic finance roles (or 5+ years with a Master's). - Demonstrated expertise in financial modeling, forecasting, and performance measurement. - Proficiency with BI and analytical tools such as Power BI, Tableau, or similar platforms. - Advanced SQL skills with experience in financial data modeling and validation. - Connect analytics to operational and strategic outcomes. - Experience improving financial visibility and ensuring data-driven decision-making. - Experience in a SaaS, B2B, or technology-driven organization. - Prior exposure to working with or supporting a CFO or Finance leadership team. - Familiarity with revenue forecasting, cost modeling, and business case development. - Experience leading or partnering with FP&A or strategic finance teams. Pay Range Details The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations. Colorado $136,400-$225,000 (annually) Washington $136,400-$248,600 (annually) California $136,400-$272,500(annually) NYC $165,100-$272,500 (annually) The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations. This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee’s role. Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. - You’ll bring experience using AI and AI-related technologies, ready to thrive here. - You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. - You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

Role Description We are seeking a Data Engineer to provide ongoing operational support for our data warehouse infrastructure. This role is focused on data reliability, proactive monitoring, incident response, and continuous platform improvement, ensuring business teams can confidently rely on data for decision-making. This role is open to both full-time and part-time candidates. For part-time engagement, we are looking for a consistent commitment of 15–20 hours per week, with preferred overlap during Singapore business hours for collaboration and operational response. What You’ll do - Data Reliability & Pipeline Monitoring - Ensure data pipelines run reliably and data is fresh, accurate, and available as expected. - Monitor, build, and respond to Daton pipeline notifications and alerts. - Track data latency, freshness, and completeness across all source systems. - Design, build, and maintain QC processors for all source data and custom reports. - Monitor job execution, investigate failures, and perform root cause analysis at: - Pipeline level - QC / validation level - API / source system level - Create and enhance data pipelines, onboard new platform integrations, and implement logic changes to existing pipelines. - Coordinate with source system owners and vendors when issues originate upstream. - Monitor alerts from source systems and custom reports. - Ensure overall data reliability through proactive monitoring and validation. - Optimize query performance and warehouse costs. - Maintain documentation for all logic, schema, and pipeline changes, with a continuously updated change log. - Data Quality & Validation - Implement and maintain automated data quality checks (source + reports) to build trust and confidence in data across the organization. - Monitor and respond to data quality and test failures. - Implement automated validation checks, including: - null checks - duplicate detection - range & boundary checks - valid value checks - referential integrity checks - Implement business-logic validations for key KPIs. - Perform daily validation of critical metrics against source UIs (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.). - Ensure KPI consistency across raw, transformed, and reporting layers. - Implement anomaly detection for key tables and metrics. - Cost Optimization - Optimize warehouse performance and manage costs proactively to ensure sustainable data operations. - Monitor and respond to billing alerts for BigQuery, dbt, and ETL tools. - Maintain cost monitoring dashboards. - Implement and optimize table partitioning and clustering. - Optimize incremental loads and expensive queries. - Proactively flag high-cost queries via Slack. - Query performance optimization (where applicable). - Source System Monitoring & (API) Integration Management - Proactively manage issues originating from upstream systems and maintain healthy integrations. - Monitor and respond to source schema and data-type changes. - Handle source delays caused by API limits, downtime, or auth failures. - Coordinate with vendors and internal teams to resolve upstream issues. - Assess business impact and classify incidents as P0/P1 when required. - Security & Compliance - Ensure data access and handling align with regulatory requirements and security best practices. - Maintain GDPR, CCPA, and related compliance controls. - Manage RBAC and column-level security in BigQuery. - Ensure PII masking and access restrictions. - Respond to security incidents related to data access or credentials. - Documentation & Change Management - Maintain documentation for pipelines, tables, and business logic. - Update test cases for logic or schema changes. - Document incident RCA and resolutions. - Maintain operational runbooks. - Manage logic and schema change requests from business team. Qualifications - Strong Google BigQuery expertise (SQL optimization, partitioning, clustering). - Experience with ETL tools (Daton, Fivetran, or similar). - Pipeline monitoring and alerting experience. - Strong SQL for debugging and validation. - E-commerce data experience (Shopify, GA, ad platforms preferred). - Experience maintaining production data systems. - Strong troubleshooting and RCA skills. - Clear communication with technical and non-technical stakeholders. - Proactive, ownership-driven mindset. - Ability to work independently in a remote setup. - Strong documentation discipline. Time Commitment & Availability - Full-time: 5 days per week, based on our standard full-time working schedule. - Part-time: Expected commitment of 15–20 hours per week. - Flexible schedule, with preference for consistent weekly availability. - Preferred availability: Singapore business hours (9:00 AM – 6:00 PM SGT) for real-time collaboration. Response Time Expectations - P0 (Critical): Acknowledgement within 2 hours on business days. - P1 (High): Acknowledgement within 4 hours on business days. - P2 (Standard): Acknowledgement within 24 hours.

Role Description The position supports SouthState Bank’s enterprise wide BSA/AML/Fraud/Sanctions Program by managing systems and technology initiatives for the Bank’s Financial Intelligence Unit (FIU). Responsibilities include: - Model oversight - Managing FIU technology related projects - Improving overall system integration and related processes for the FIU - Responsible for BSA/AML/Fraud and Sanctions model documentation - Participating in model validations and overseeing model performance - Collaboration with other departments and business lines throughout the organization It is the policy of SouthState Bank to comply with the Bank Secrecy Act (BSA), USA PATRIOT Act, and the requirements of the Office of Foreign Assets Control (OFAC), and other related anti-money laundering/anti-terrorist financing initiatives. Qualifications - BA/BS in business, data science, or comparable preferred - At least 7 years’ experience in a highly regulated environment with AML, Fraud, and OFAC knowledge and relevant typologies - In-depth knowledge of AML/Fraud transaction and monitoring systems and Sanctions screening systems (LexisNexis Bridger preferred, extensive Verafin experience required) - Verafin experience including tuning, optimization, administration/configuration management, data/file import mapping and validation - Knowledge of model risk management documentation requirements and best practices - Demonstrated knowledge of Microsoft suite (Word, Excel, PowerPoint) particularly with advanced Excel features such as PivotTables and formulas required Requirements - Experience in both traditional and machine learning/artificial intelligence modeling practice and solutions - Experience in reviewing and analyzing large amounts of data for statistical modeling and graphic analysis - Experience with model tuning, documentation, and development processes - Ability to write complex queries for reporting, data mining, and research preferred - Experience working in core banking systems (Fiserv preferred) - Experience working in AML and Sanctions software platforms (Verafin and BAM preferred) - Knowledge and understanding of BSA/AML, Fraud, and Sanctions regulations, technology, and data analysis best practices - Experience in developing and executing test plans including defect resolution processes - Self-motivated, dependable, adaptable, and detail-oriented individual with analytical, writing, and organizational skills - Ability to handle multiple projects and tasks simultaneously - Strong verbal, written and visual communication skills; ability to translate technical observations to non-technical audience - Proficient with Microsoft Outlook, Office, Excel, PowerPoint and able/willing to adapt to new software if/as needed Benefits - Equal Opportunity Employer, including disabled/veterans