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Job Description & How to Apply Below
Analytics Engineer / Data Engineer
to support a large-scale data transformation and enablement initiative. This individual will serve as a key bridge between source systems and reporting teams, helping ensure data accuracy, consistency, and accessibility across the organization.
The ideal candidate will be highly proficient in
Snowflake and SQL , with a strong background in data transformation, reconciliation, root cause analysis, and data quality initiatives. This role will focus on preparing and transforming data from multiple sources, troubleshooting data discrepancies, defining business logic, and delivering trusted datasets that power analytics and reporting solutions.
This is a highly collaborative role requiring strong communication skills and the ability to work independently with business stakeholders to identify issues and deliver solutions.
Responsibilities
Design, develop, and maintain data transformation processes within Snowflake
Analyze and reconcile data discrepancies across multiple source systems
Perform root cause analysis (RCA) to identify data quality and reporting issues
Develop and optimize complex SQL queries to support business requirements
Prepare, cleanse, and transform data for downstream analytics and reporting teams
Define and document business logic, data definitions, and transformation rules
Troubleshoot data integration and reporting issues across various systems
Collaborate with stakeholders and end users to gather requirements and deliver solutions
Automate data validation, reconciliation, and quality control processes
Ensure data accuracy, integrity, and consistency within the analytics environment
Support enterprise transformation initiatives by enabling trusted, scalable reporting datasets
Required Skills & Experience
4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related field
Strong hands-on experience with
Snowflake
Advanced SQL development and troubleshooting skills
Experience performing data reconciliation and root cause analysis
Strong understanding of data modeling, table relationships, and data structures
Experience working with multiple data sources and integrating large datasets
Ability to independently investigate and resolve complex data issues
Experience partnering directly with business stakeholders and end users
Strong analytical and problem-solving skills
Preferred Skills & Experience
Tableau experience, including dashboard data source support
Experience working with Salesforce data
Knowledge of data warehousing concepts and best practices
Experience automating data quality or validation processes
Exposure to enterprise reporting and analytics environments
Plusses
Tableau dashboard development experience
Salesforce reporting or analytics exposure
Experience supporting transformation, enablement, or data governance initiatives
What We're Looking For
We're seeking someone who enjoys digging into data, solving complex data issues, and delivering trusted datasets that drive business decisions. The ideal candidate is a self-starter who can independently investigate discrepancies, communicate effectively with stakeholders, and build solutions that improve the quality and reliability of enterprise data.
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