CloudRay
Mid-Senior BI / Data Engineer – Oracle HCM Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Senior BI/Data Engineer with 6–8+ years of experience in Oracle HCM analytics, advanced SQL, and BI tools (Tableau, Power BI). It is a remote, full-time position requiring expertise in ETL tools and cloud data platforms.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Indiana
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🧠 - Skills detailed
#Microsoft Power BI #Apache Spark #Tableau #Data Engineering #Oracle #Data Accuracy #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #PySpark #Talend #Cloud #Datasets #Databases #Scala #SQL Queries #BI (Business Intelligence) #Data Analysis #SQL (Structured Query Language) #Agile #Snowflake #Stories #BigQuery #Informatica #Data Integration #Python
Role description
Location: remote Joining Timeline: Immediate Duration/Tenure: FTE Work Mode: Remote Role Overview We are seeking a skilled Mid-Senior BI / Data Engineer with strong expertise in Oracle HCM Analytics to design, build, and deliver scalable HR and workforce analytics solutions. The ideal candidate will have a solid foundation in data engineering, advanced SQL skills, and hands-on experience with BI tools and modern data platforms. Key Responsibilities
Design, develop, and maintain scalable data models for HR, payroll, and workforce
analytics.
Build and optimize complex SQL queries for advanced HCM data analysis and reporting.
Develop interactive dashboards and reports using BI tools such as Tableau, Power BI, or
similar platforms.
Design and manage ETL pipelines for Oracle HCM data integration using tools such as
Informatica, Talend, or equivalent.
Leverage Python and PySpark for data transformation, cleansing, and large-scale data
processing (Apache Spark knowledge preferred).
Implement and support data warehousing solutions using modern databases such as
Snowflake, BigQuery, or similar platforms.
Collaborate with business stakeholders to gather, groom, and clarify requirements;
translate business needs into analytical and reporting solutions.
Participate in requirement sessions, create user stories, and ensure alignment between
business objectives and technical implementation.
Ensure data accuracy, consistency, and governance across HR analytics solutions.
Required Qualifications
6–8+ years of experience in Business Intelligence and/or Data Engineering.
Strong hands-on experience in Oracle HCM analytics and workforce reporting.
Advanced SQL skills with experience handling complex datasets.
Experience with at least one BI/reporting tool (Tableau, Power BI, etc.).
Intermediate to advanced proficiency in Python and PySpark.
Experience with at least one ETL tool (Informatica, Talend, etc.).
Solid understanding of data warehousing concepts and dimensional modeling.
Experience working with modern cloud data platforms (Snowflake, BigQuery, etc.).
Experience with at least one ERP system (Oracle HCM preferred).
Strong analytical and problem-solving skills with the ability to work independently and
collaboratively. Preferred Qualifications
Functional knowledge of Oracle HCM modules.
Experience building HCM dashboards using Incorta.
Exposure to Agile methodologies and working with user stories and sprint cycles
Location: remote Joining Timeline: Immediate Duration/Tenure: FTE Work Mode: Remote Role Overview We are seeking a skilled Mid-Senior BI / Data Engineer with strong expertise in Oracle HCM Analytics to design, build, and deliver scalable HR and workforce analytics solutions. The ideal candidate will have a solid foundation in data engineering, advanced SQL skills, and hands-on experience with BI tools and modern data platforms. Key Responsibilities
Design, develop, and maintain scalable data models for HR, payroll, and workforce
analytics.
Build and optimize complex SQL queries for advanced HCM data analysis and reporting.
Develop interactive dashboards and reports using BI tools such as Tableau, Power BI, or
similar platforms.
Design and manage ETL pipelines for Oracle HCM data integration using tools such as
Informatica, Talend, or equivalent.
Leverage Python and PySpark for data transformation, cleansing, and large-scale data
processing (Apache Spark knowledge preferred).
Implement and support data warehousing solutions using modern databases such as
Snowflake, BigQuery, or similar platforms.
Collaborate with business stakeholders to gather, groom, and clarify requirements;
translate business needs into analytical and reporting solutions.
Participate in requirement sessions, create user stories, and ensure alignment between
business objectives and technical implementation.
Ensure data accuracy, consistency, and governance across HR analytics solutions.
Required Qualifications
6–8+ years of experience in Business Intelligence and/or Data Engineering.
Strong hands-on experience in Oracle HCM analytics and workforce reporting.
Advanced SQL skills with experience handling complex datasets.
Experience with at least one BI/reporting tool (Tableau, Power BI, etc.).
Intermediate to advanced proficiency in Python and PySpark.
Experience with at least one ETL tool (Informatica, Talend, etc.).
Solid understanding of data warehousing concepts and dimensional modeling.
Experience working with modern cloud data platforms (Snowflake, BigQuery, etc.).
Experience with at least one ERP system (Oracle HCM preferred).
Strong analytical and problem-solving skills with the ability to work independently and
collaboratively. Preferred Qualifications
Functional knowledge of Oracle HCM modules.
Experience building HCM dashboards using Incorta.
Exposure to Agile methodologies and working with user stories and sprint cycles
