Helper Heroes
Health, Wellness and Fitness
OperationalIntelligence/DataSystemEngineer(PHCandidatesOnly)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Operational Intelligence/Data System Engineer (PH Candidates Only) at Helper Heroes. Skills: Operational intelligence, Data system engineering, Python, SQL, Power BI, Data normalization, Automation, Governance. Running and validating Python scripts. SQL data processing”
Industry & Context.
Solutions-oriented
PH Candidates Only
What They're Looking For.
Must Have
Python scripts, SQL data processing, Dataset normalization, CSV ingestion and cleanup, Folder structure management, Backup and rollback validation, Dashboard support, Power BI support, QA validation of outputs, Data lineage verification, Automation support, Documentation of daily system activity, Execution log review, Governance workflow support, Python experience, SQL experience, Microsoft Excel experience, Experience with CSV handling and large datasets, Experience with pandas (Python library), Experience with Power BI or dashboard development, Data normalization / ETL experience, File structure and folder governance discipline, Ability to work with large operational datasets, Ability to follow structured naming conventions and workflows, Highly detail-oriented, Extremely organized, Able to follow strict governance protocols, Comfortable working with evolving systems, Comfortable documenting work daily, Able to learn quickly, Comfortable with repetitive validation and auditing tasks, Proactive and solutions-oriented, Trustworthy and professional, Capable of handling confidential operational information responsibly
Nice to Have
AI / NLP familiarity, Experience with operational analytics, Experience with automation scripting, Experience with data lineage or audit tracking, Experience with healthcare or operations analytics, Git/version control familiarity, Comfortable working independently after training, Responsive during working hours, Capable of long-term system support and scaling, Comfortable with continuous improvement environments
What You'll Do.
Running and validating Python scripts
Dataset normalization
CSV ingestion and cleanup
Folder structure management
Backup and rollback validation
QA validation of outputs
Data lineage verification
Documentation of daily system activity
Governance workflow support
Full Job Description
Type: Remote Job Status: 8am-5pm EST Start Date: ASAP Company Summary: At Helper Heroes, we’re on a mission to provide exceptional care and support to home care agencies in the U.S. We believe in true partnership where our virtual assistants act as an extension of the care team. Our goal is to ensure a compassionate, innovative, and efficient care experience for clients and families alike. Job Summary: This position will support the ongoing development, maintenance, automation, and scaling of an advanced operational intelligence and governance analytics platform currently under active development. We are specifically looking for a candidate with strong technical and analytical capabilities who can eventually operate independently within a structured framework. **Requirements** Responsibilities: • Running and validating Python scripts • SQL data processing • Dataset normalization • CSV ingestion and cleanup • Folder structure management • Backup and rollback validation • Dashboard support • Power BI support • QA validation of outputs • Data lineage verification • Automation support • Documentation of daily system activity • Execution log review • Governance workflow support The system includes: • Large operational datasets • SQL operations • Python-based analytics • AI-assisted processing • Governance analytics • RCA / escalation intelligence • Timestamp correlation • Operational reconstruction • Power BI visualization • CSV normalization and automation • Data pipeline governance • Executive operational reporting Preferred Skills and Qualifications: Technical: • Strong Python experience • Strong SQL experience • Strong Microsoft Excel experience • Experience with CSV handling and large datasets • Experience with pandas (Python library) • Experience with Power BI or dashboard development • Data normalization / ETL experience • File structure and folder governance discipline • Ability to work with large operational datasets • Ability to follow structured naming convent
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