Intelliswift
Job Title:
Data Analyst / Engineer Location:
San Jose, CA 9511 (Hybrid 1-3 days/week onsite) Duration:
12 months Contract Type:
W2 only Pay Rate:
$69.01/Hour
Duties
Collaborate with the Data Architect/Engineering to operationalize and monitor data pipelines using existing tools and frameworks Perform data validation checks to ensure data completeness, consistency, and accuracy Investigate and troubleshoot data anomalies, missing data, and data flow issues Support clean data and metric needs for analytics Build and maintain data quality dashboards or reports for proactive issue detection Document key processes, known data issues, and resolution steps to support team-wide transparency
Skills
Expertise in working with large data sets using SQL Strong analytical and quantitative problem-solving ability. Ability to spot inconsistencies, run sanity checks, and apply QA best practices familiar with how data flows through modern pipelines and how to monitor for failures Hands-On coding experience with at least one programming language (Python/R) Hands-on experience working with Cloud Platform e.g. Databricks. Ability to build and run data pipelines in Cloud. Experience in developing sophisticated reports/dashboards using Tableau & Power BI. Good attention to detail and ability to stitch and QA multiple data sources. Adobe Analytics or Customer Journey Analytics experience is a plus.
Data Analyst / Engineer Location:
San Jose, CA 9511 (Hybrid 1-3 days/week onsite) Duration:
12 months Contract Type:
W2 only Pay Rate:
$69.01/Hour
Duties
Collaborate with the Data Architect/Engineering to operationalize and monitor data pipelines using existing tools and frameworks Perform data validation checks to ensure data completeness, consistency, and accuracy Investigate and troubleshoot data anomalies, missing data, and data flow issues Support clean data and metric needs for analytics Build and maintain data quality dashboards or reports for proactive issue detection Document key processes, known data issues, and resolution steps to support team-wide transparency
Skills
Expertise in working with large data sets using SQL Strong analytical and quantitative problem-solving ability. Ability to spot inconsistencies, run sanity checks, and apply QA best practices familiar with how data flows through modern pipelines and how to monitor for failures Hands-On coding experience with at least one programming language (Python/R) Hands-on experience working with Cloud Platform e.g. Databricks. Ability to build and run data pipelines in Cloud. Experience in developing sophisticated reports/dashboards using Tableau & Power BI. Good attention to detail and ability to stitch and QA multiple data sources. Adobe Analytics or Customer Journey Analytics experience is a plus.