Role Description As Data Manager / Engineer at Strategus, you'll own day-to-day operation of our Snowflake warehouse, the Sigma semantic layer that sits on top of it, and the pipelines that feed both. This is a senior individual-contributor role reporting to our Director of Tech and Product, hands-on with SQL, modeling, and integration. You'll partner with our managed data partner (Datateer), Sigma and its native AI agents, our automation layer (Convey), and stakeholders across AdOps, Sales, Finance, and Executive. - Snowflake: account admin, role and security configuration, performance and cost management alongside data leadership. - Sigma semantic layer: build and maintain the governed datasets (joins, transpositions, derived metrics) that power AdOps, Sales, Finance, and Executive reporting and Sigma's native AI agents. - dbt models: spec what's needed, scope with Datateer (who builds and runs them), review their work, keep the warehouse catalog current. - Fivetran (in-house): operate Salesforce, HubSpot, and other ingestion that lives with us. - Reverse-ETL into Salesforce, HubSpot, NetSuite: especially flows where the decision logic lives in Sigma. Partner with the named owner of each destination before any write goes out. - Datateer service requests: triage, prioritize, sign off on scope, escalate when blocked. - Sigma access governance: keep dataset curation tight; approve explore- and build-access changes alongside data leadership. - Dashboards: internal and customer-facing views, with attention to reliability, performance, and clarity for non-technical users. - Convey + Sigma agents: help shape where each tool lives in the stack, and design the Sigma Actions / Convey integration seam. - End-of-month and financial-adjacent analytics: delivery-in-full and pacing frameworks, sales order vs. invoice reconciliation, media cost validation. Build repeatable processes that reduce manual work. - Data quality SLAs: for AdOps, billing, and Salesforce datasets; detect, prevent, and remediate at the source. - Analysis and experiments: patterns in campaign performance, pricing, margin, and throughput; bidding, pacing, and audience tests with appropriate sizing and structure; recommendations to operating leaders. - Automation, documentation, reproducible workflows: to de-risk month-end and seasonal processes. Qualifications - Expert SQL and data warehousing: schema design, performance tuning, modeling for analytics workloads. - Cloud data platforms: hands-on, ideally Snowflake (cost / performance, role-based security, workload management). - Modern ELT / data engineering tooling: Fivetran or similar; dbt or dbt-style modeling; reverse-ETL (Census, Hightouch, Fivetran Activations). - BI / data visualization: ideally Sigma; governed datasets, internal and customer-facing dashboards, narratives for business users. - Salesforce + cross-system integration: GTM, revenue, and delivery datasets across Salesforce, ERP / invoicing, and DSP / platform data. - Cloud-warehouse APIs: designing or consuming APIs for third-party platform integration. - Working with managed data partners: scoping vendor / consultant work, reviewing output, holding the relationship to outcomes. - Working alongside AI tooling: BI-native AI agents (Sigma) and cross-system automation (Convey), with a point of view on where each belongs. - Programming: Python, R, Go, or similar for data processing, modeling, and automation. - Analytical and statistical foundation: predictive modeling basics, A/B and multivariate experimental design, measurement and KPI design. - Translating complex data into simple, actionable outputs for non-technical stakeholders. - AdTech / programmatic experience (CTV, open web, DSPs such as The Trade Desk) a strong plus. - Education: BS or MS (preferred) in CS, Data Science, Statistics, Math, or related quantitative field; or equivalent professional experience. - 7+ Years experience in a data engineering or BI role, in a senior IC or lead capacity. Company Description Strategus is a CTV‑first, fully managed service partner and pioneer in programmatic Connected TV-focused on defining "What's Next" in data‑driven advertising. Our culture is built on three core values-Respect, Full Engagement, and Growth-which show up in how we collaborate, make decisions, and show up for our clients and each other every day. Our north star is simple: to make Strategus the best job you've ever had. Here, you'll join a high‑performing team that invests in your development, values your voice, and gives you the opportunity to shape what's coming next for CTV and the brands we serve.

Role Description A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem. This role will focus on designing and maintaining scalable ELT pipelines, data models, semantic layers, and executive-level dashboards using modern cloud data technologies. The ideal candidate brings deep expertise in dbt, Snowflake, Power BI, and modern ingestion platforms, with a strong foundation in data modeling, analytics engineering, and business intelligence best practices. Key Responsibilities - Semantic Layer & Data Modeling - Develop and maintain semantic layers supporting operational and executive reporting - Create dimensional and subject-area data models aligned to business functions including CRM, sales, marketing, finance, operations, compliance, and customer support - Standardize KPIs, metrics, calculations, and business definitions across reporting environments - Collaborate with stakeholders to translate business requirements into scalable analytics solutions - Data Transformation & ELT Orchestration - Design, build, and optimize dbt Cloud transformation models including staging, core, and mart layers - Implement automated testing frameworks for schema validation, data quality, and business logic - Manage dbt Cloud job scheduling, orchestration, and deployment workflows - Ensure reliable ingestion-to-transformation-to-delivery pipelines - Snowflake Administration & Optimization - Configure and manage Snowflake warehouses, roles, permissions, and resource monitors - Optimize warehouse performance, scalability, and cost management - Configure and maintain connectors and integrations with operational systems - Troubleshoot data pipeline and query performance issues - Data Ingestion & Integration - Configure and maintain Fivetran connectors and ingestion pipelines - Support API-based ingestion processes where needed - Monitor connector health, schema drift, and incremental loading processes - Maintain integrations across multiple enterprise systems and data sources - Analytics & Dashboard Development - Design and develop interactive dashboards and reporting solutions using Power BI - Build advanced DAX calculations, semantic models, dataflows, and row-level security configurations - Deliver analytics solutions supporting Sales, Marketing, Finance, and Operations teams - Provide end-user training and documentation to support adoption and governance - Data Quality & Governance - Implement automated monitoring, alerts, and data quality controls - Maintain lineage and documentation across analytics and transformation platforms - Perform data reconciliation and troubleshooting across multiple source systems - Support governance, consistency, and reporting accuracy initiatives Qualifications - 7+ years of experience in BI Engineering, Analytics Engineering, Dashboard Development, or ELT-focused roles - Deep hands-on expertise with dbt including modeling, testing, documentation, and orchestration - Strong experience with Snowflake administration, optimization, and performance tuning - Advanced Power BI experience including: - Semantic modeling - DAX development - Dataflows - Row-Level Security (RLS) - Governance best practices - Experience with Fivetran connectors and API-based data ingestion - Strong SQL development and dimensional data modeling skills - Experience integrating and reconciling data from platforms such as Salesforce, HubSpot, NetSuite, QuickBooks, and call-center systems - Strong analytical, troubleshooting, and communication skills Preferred Qualifications - Experience with Python, C#, or other programming languages - Exposure to Azure data services, Functions, or API Gateway technologies - Background supporting financial services, regulated industries, or compliance-focused environments - Experience with Power BI administration and enterprise governance Preferred Technical Environment - dbt Cloud - Snowflake - Power BI - Fivetran - SQL - Salesforce - HubSpot - NetSuite / QuickBooks - API integrations - Cloud-based analytics platforms Additional Information - Senior-level opportunity with high visibility and impact - Opportunity to help build and modernize enterprise analytics infrastructure - Collaborative, data-driven environment - Competitive compensation and benefits package available based on experience

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently. After building a market-leading BNPL network, we’re entering our next ambitious chapter: transforming DTC shopping. At the center of this vision is the Affirm Marketplace, a rapidly scaling, high-leverage platform that connects consumers with merchants in a dynamic, two-sided ecosystem. We’re looking for a Marketplace Analytics Lead to help architect and optimize the economic engine of our marketplace, balancing supply, demand, pricing, and user experience to drive sustainable growth. This is a high-impact IC role at the intersection of product, growth, and marketplace strategy. What You’ll Do - Own marketplace monetization and economics, balancing merchant supply, consumer demand, and pricing to drive engagement, conversion, and profitability - Monitor marketplace performance and adjust strategies based on engagement, relevance, merchant outcomes, LTV, and overall health - Build and maintain dashboards and reporting to track key Marketplace KPIs and enable data-driven decisions - Partner with Sales, Client Success, and Marketing to grow marketplace partners and increase merchant value - Collaborate with Product and Engineering to improve the effectiveness, competitiveness, and relevance of Marketplace inventory and offers - Analyze supply-side dynamics, including incentives, pricing, and placement, to understand elasticity and drive incremental GMV - Lead analyses and experiments to test and refine new placements and optimize marketplace performance - Conduct loan-level profitability analyses to ensure offers align with credit and financial goals while balancing consumer and merchant value - Evaluate affiliate portfolio performance by integrating network data, identifying trends, and assessing the incremental impact of merchant-funded incentives What We’re Looking For - 7+ years in analytics, with experience in marketplaces, ads/affiliate ecosystems, or two-sided platforms - Strong intuition for supply-demand dynamics, pricing, and marketplace tradeoffs - Experience with data tools such as SQL, Python, DBT, Sigma; comfortable managing ETLs and working with engineering teams to optimize data pipelines - Strong curiosity and bias toward leveraging AI tools to accelerate analysis, automate workflows, and increase personal and team productivity - Experience working cross-functionally with Product, GTM, and Engineering - High ownership, strong judgment, and a bias toward action Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180000 - $230000 USA base pay range (all other U.S. states) per year: $160000 - $180000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

• Define and execute BeReal’s product analytics roadmap, aligning modeling, observability, and tooling with product priorities. • Partner closely with Product Managers to translate product loops, retention mechanics, and experimentation needs into scalable data models. • Build and deploy AI-powered internal analytics tools that enable stakeholders to query data in natural language. • Own the integration between BigQuery, Amplitude, and our experimentation framework to ensure a single source of truth for metrics. • Design and maintain a self-service metrics layer that enables PMs to independently analyze funnels and experiments. • Write production-grade dbt models and optimize SQL transformations for reliability, performance, and scalability. • Lead technical reviews and establish best practices for analytics engineering. • Collaborate with Backend and Mobile teams to ensure analytics instrumentation is robust and analytics-ready from day one. • Monitor data quality and observability to guarantee trust in product metrics and reporting.