Supports the accuracy, integrity, and operational flow of data across enterprise systems.
Focuses on acquisition data migrations, ongoing data quality monitoring, and operational analysis to ensure data is reliable and ready for reporting and decision-making.
Partners with Integration, Business Systems, and business stakeholders to analyze source data, execute repeatable data migrations, validate data loads, and respond to ad-hoc data needs.
Helps automate manual processes and translates business definitions into clear, well-documented data logic.
Responsible for migrating and processing acquisition data from their system into UPSTACK Salesforce system.
Partners with key stakeholders and the integration team; manages expectations, and provides consistent and key updates.
Conducts thorough data and source system analysis to the structure and format of acquired CRM data and defines mapping and transformation requirements.
Utilizes declarative ETL tools to migrate data into Salesforce using repeatable processes.
Executes comprehensive audit and testing procedures to validate data loads, leveraging both custom and existing reporting functionalities.
Responds to rapid-turnaround data requests to support immediate business decision-making.
Runs regular checks for data anomalies and validates data against source systems.
Assists in maintaining reference data, mapping tables, and standardized metrics definitions.

Requirements

Bachelor’s degree in Information Systems, Data Analytics/ Data Science, Computer Science, Business Analytics or something similar.
Knowledge of data integration and migration concepts, including source system analysis, field mapping, and transformation logic.
Experience working with CRM data structures (Salesforce or similar) and downstream reporting systems.
Familiarity with ETL concepts and declarative data migration tools.
Proficiency in SQL for data validation, auditing, reconciliation, and analysis.
Strong analytical skills with high attention to data quality, accuracy, and consistency.
Ability to translate ambiguous business requirements into clear, testable data logic.
Experience performing data audits and executing repeatable data processes.
Strong written and verbal communication skills and ability to document data logic and processes.
Ability to manage multiple data initiatives in a fast-paced environment.
Experience with Salesforce integrations or post-acquisition data migrations.
Familiarity with common business metrics (e.g., revenue, churn, margin, commissions).
Knowledge of data governance, version control, and documentation standards.
Experience automating manual data tasks using scripts, workflows, or ETL tools.
Ability to identify data risks, escalate issues, and adapt to changing requirements.
Comfortable working independently and collaboratively across teams.

Benefits

Participation in our annual bonus incentive

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data migrationdata quality monitoringdata analysisETLSQLdata validationdata auditingdata reconciliationdata transformationCRM data structures

Soft Skills

analytical skillsattention to detailcommunication skillsdocumentation skillsproject managementcollaborationadaptabilityproblem-solvingtime managementstakeholder management

Certifications

Bachelor’s degree in Information SystemsBachelor’s degree in Data AnalyticsBachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in Business Analytics