Location: India

About AECO Internal Data Initiatives: At AECO, we're on a mission to become a truly data-driven business, aiming to add over $1.0 Billion ARR by 2027 through maturing our internal data systems and management. This ambitious goal is supported by our 2025 operating plan, which focuses on three critical "catalyst" initiatives: improving data governance, enhancing decision-making through product telemetry, and accelerating cross-sell/upsell opportunities. We are building a strong foundation in 2025 to achieve data maturity by 2027, where AECO will move faster, allocate capital more productively, and compete more effectively.

The Opportunity: This role is a crucial part of our Cross-sell/Upsell Workstream, a key initiative designed to unlock $0.5-$1.0 Billion+ in upsell and cross-sell opportunities by 2025. We aim to achieve a robust, global, scalable, omnichannel understanding of our markets, customers, and users across all AECO disciplines. Currently, we are "fishing in only part of the lake" as substantial revenue streams and the majority of AECO customers are not included in our primary sales data. This role will be instrumental in creating a unified view of our customer financial relationships and accelerating our Go-To-Market (GTM) strategies.
 

Job Summary: As an Analytics Engineer specializing in Cross-sell/Upsell, you will be responsible for building, maintaining, and optimizing the data infrastructure necessary to federate diverse sales, customer, and demographic datasets. You will work closely with Business Unit (BU) leads, finance teams, and Core Services to enable a comprehensive understanding of our customers and identify significant upsell and cross-sell opportunities. Your work will directly contribute to personalized customer experiences, predictive analytics (e.g., churn propensity, next-best-product), and improved cross-selling with Field Systems.
 

Key Responsibilities:

Data Federation & Integration:Design, develop, and maintain robust and auditable Extract, Load, Transform (ETL) processes to integrate disparate sales data (new, upsell, renewal, direct, indirect digital) from various AECO products (e.g., Tekla, B2W, SketchUp) and channels.Federate sales data from non-DX Salesforce systems with the existing DX data set.Combine federated sales data with customer demographic data for a holistic view of all customers, regardless of their buying channels.Collaborate with Trimble's Data Operations Group to ensure data pipelines are reliable, highly available, and consistent.Work with Core Services to define and implement data federation details and allocate resources effectively.Data Modeling & Quality:Develop and implement data models within the Enterprise Data Warehouse (EDW) to support advanced analytics for cross-sell and upsell initiatives.Validate and apply business logic for account data quality criteria, including fuzzy matching rules, duplication logic, and account hierarchy logic, within the EDW data pipelining.Ensure data consistency and quality across all federated datasets.Collaboration & Communication:Act as a key CoE member for the Cross-sell/Upsell initiative, working collaboratively with BU leads, finance teams, and the AECO Data Governance and Compliance (DGC) group.Communicate technical requirements and progress effectively to both technical and non-technical stakeholders.Contribute to the common definition of customer, user, product, and device across AECO.Strategic Contribution:Support the identification and prioritization of integrated workflows with the most impact on sales and GTM strategies.Contribute to the achievement of AECO's North Star: "Add >$500m-$1Bn+ additional ARR driven by internal data, and data governance maturity."Help answer critical business questions like "Where are our best opportunities for finding new direct customers?" and "Which countries represent the best opportunities for AECO?"

Required Skills & Experience:

Proven experience as an Analytics Engineer, Data Engineer, or similar role, with a strong focus on data warehousing, ETL development, and data modeling.Proficiency in SQL and experience with enterprise data warehouses (e.g., Snowflake, or similar).Experience with data pipeline tools (e.g., FME, Domo connectors, Snowflake Data Pipelines) is a plus.Strong understanding of data quality principles and experience implementing data quality checks.Ability to work with diverse datasets and integrate them into a unified view.Excellent communication and collaboration skills, with the ability to work effectively across various teams and business units.Demonstrated problem-solving skills and a proactive approach to identifying and addressing data challenges.

Preferred Qualifications:

Experience with sales, marketing, and customer demographic data.Familiarity with Salesforce data.Understanding of data governance principles and practices.Experience in a B2B SaaS environment.