Sarela Technology Solutions
Linkedin · Posted 14d ago
Data Visualization Engineer
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Indexed description
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Profit sharing
- Training & development
- Tuition assistance
- Vision insurance
Primary Responsibilities:
- Dashboard Development - Design, build, and deploy interactive dashboards, reports, and dossiers using Power BI and MicroStrategy
- IT Operations Support - Identify, extract, and analyze relevant data specifically in support of IT Operations and system sustainment initiatives.
- Data Integration & ETL - Extract, transform, and load (ETL) data from disparate structured and unstructured data sources to prepare it for analysis and visualization.
- Stakeholder Collaboration - Partner with business leaders and IT decision-makers to gather requirements and translate business needs into technical visualization specifications.
- Data Analysis - Interrogate and analyze complex datasets to uncover critical trends, patterns, and insights that support strategic initiatives.
- Optimization & Quality Assurance - Validate data accuracy, troubleshoot reporting anomalies, and optimize dashboard performance for end-users.
- User Enablement - Provide guidance, documentation, and training to end-users on how to effectively interact with and interpret the visualization tools.
- Documentation & Standards - Develop and maintain comprehensive documentation, standard operating procedures, and data dictionaries in support of delivered products.
- Compliance & Documentation: Ensure all tools comply with DoW STIGs and IL5/IL6/IL7 protocols; develop and maintain architectural documentation and compliance traceability.
- Requires BS and 12 – 15 years of prior relevant experience or Masters with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain - additional years of experience will be accepted in lieu of a degree.
- Security Clearance: Active Secret clearance at time of hire and able to obtain Top Secret / Sensitive Compartmented Information (TS/SCI).
- Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
- Citizenship: United States Citizenship is required.
- Core Experience: Proven professional track record in data analysis, business intelligence, and building data visualizations for enterprise use.
- Domain Knowledge: Familiarity with IT Operations and sustainment, including a strong understanding of how to identify and apply relevant data to support these functions.
- Data Integration / ETL: Experience with data extract, transform, and load (ETL) techniques using disparate structured and unstructured data sources.
- Technical Proficiency: Advanced hands-on experience with Power BI (including DAX and Power Query) and MicroStrategy (including Dossiers and standard reporting).
- Database Skills: Strong command of SQL and experience querying complex relational databases and data warehouses.
- Communication: Excellent verbal and written communication skills, with the ability to present technical data findings clearly to non-technical audiences.
- Advanced Scripting: Familiarity with Python or R for advanced data manipulation and statistical analysis.
- Certifications: Relevant industry certifications in Power BI (e.g., Microsoft Certified: Data Analyst Associate) or MicroStrategy.
- Data Architecture: Understanding of data warehousing concepts and advanced semantic layer modeling.
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