Responsibilities

• Data Pipelines & Integrations: Design, build, and maintain data pipelines connecting Salesforce, Marketo, and the data warehouse (e.g., BigQuery) to support marketing performance reporting.
• Reporting Automation & Analytics Enablement: Automate recurring campaign reporting workflows and write/optimize SQL to build reusable datasets, views, and queries that power dashboards and leadership reporting.
• Campaign Attribution & Data Quality: Strengthen campaign attribution logic (campaign codes, UTM/campaign member data, lead-to-opportunity linkage) and monitor, troubleshoot, and improve data quality across Marketo, Salesforce, and downstream reporting tables.
• AI-Enabled Analytics Workflows: Apply AI tools such as Claude to accelerate data exploration, documentation, and query development, while maintaining rigor and accuracy in production reporting.
• Systems Support & Documentation: Support backend administration and configuration in Salesforce and Marketo (fields, objects, sync rules, campaign structures), and document data models, definitions, and processes so metrics stay consistent and self-serve for marketing stakeholders.

Requirements

• Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field. New graduates are encouraged to apply.
• 0 – 2 years of applicable experience.
• Strong SQL skills: comfortable writing joins, aggregations, and window functions against large relational datasets.
• Working knowledge of at least one programming language used in data work (e.g., Python) for scripting, automation, or ETL.
• Understanding of relational data models and how CRM/marketing-automation data is structured (leads, contacts, accounts, campaigns, opportunities).
• Highly analytical and detail-oriented, with a strong bias toward automating repetitive work.
• Intellectually curious and open-minded, with a genuine thirst to learn new tools, systems, and business context.

Preferred

• Hands-on exposure to Salesforce (SOQL, reports, campaign objects, admin concepts) or Marketo (programs, smart campaigns, field sync).
• Experience with a cloud data warehouse (BigQuery, Snowflake, Redshift) and BI tools (Power BI, Looker, Tableau).
• Familiarity with AI-assisted development or analytics tools, such as Claude or similar large language model platforms.
• Exposure to ETL/ELT tooling, APIs, or workflow orchestration (e.g., dbt, Airflow, Fivetran, or equivalent scripting).
• Familiarity with marketing funnel metrics (MQLs, opportunities, pipeline) or B2B demand generation.
• Co-op, internship, or project experience in a data engineering, analytics engineering, or revenue operations context.

Benefits

• Benefits starting from Day 1!
• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support
• Continuous Development Support Program
• Employee Assistance Program
• Allyship and Inclusion Communities
• Employee Recognition … and more!