• Develop interactive data reports and dashboards using Microsoft Power BI and Excel based on user requirements (30%) • Manipulate and extract meaning from complex datasets, including development and implementation of automated Extract, Transform, and Load (ETL) functions in Power BI as well as use of Excel spreadsheets and Pivot Tables and writing SQL queries/views to extract and manipulate data from relational databases (30%) • Advise and consult with program leaders and staff on matters related to program evaluation, data collection and reporting, and performance improvement efforts (15%) • Participate in intra- and inter-departmental meetings and represent Data team on relevant agency committees and workgroups (15%) • Actively contribute to team knowledge-sharing through peer review, collaborative problem-solving, and a positive, supportive team culture (10%) • Engage in individual and collaborative work to advance team values related to diversity, equity, and inclusion. • Manage and coordinate complex, time-sensitive projects with many different stakeholders.

• apply a range of analytics methods to gain insights across our go-to-market teams (sales, RevOps, marketing, and customer success) • consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous • advocate for data-informed decisions by partnering with key stakeholders and senior leaders • identify and implement improvements within the Data team by standardizing processes, developing innovative practices, providing mentorship, and fostering new expertise • join a growing team of analysts and actively contribute to team collaboration and culture

• Design, build, and maintain scalable cloud‑native data pipelines supporting batch and near‑real‑time use cases. • Engineer and optimize data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Microsoft Fabric, Databricks, and related services. • Implement and maintain lakehouse and medallion architectures (bronze, silver, gold) to support analytics and AI workloads. • Develop robust transformation logic using SQL, PySpark, and Python with a focus on performance and maintainability. • Partner with Analytics/BI Engineers to ensure datasets are optimized for semantic layers and AI consumption. • Collaborate with data scientists to support feature engineering and model training workloads. • Implement data quality, validation, lineage, and observability solutions to ensure trust in data assets. • Design and enforce data security practices including access controls, encryption, and data classification. • Automate deployment and operations using DataOps and infrastructure‑as‑code practices. • Create and maintain technical documentation, runbooks, and architecture diagrams. • Provide technical leadership and mentorship to junior data engineers.

Role Description POWTEC Solutions is hiring a Data Analyst to support a federal client engagement with NOAA’s Office of the Chief Administrative Officer (OCAO). In this role, you will work with enterprise facility management systems to ensure data integrity, build meaningful dashboards, and help drive informed decisions about federal real property investments. This is a full-time, salaried contract position expected to run approximately 8 months, with the potential for extension. You will work largely independently and remotely, with a preference for candidates located on the East Coast — ideally in the Silver Spring, MD or Tampa Bay, FL areas. What You’ll Do - Data Quality & System Integration - Perform quality assurance on Facility Condition Assessment (FCA) data across enterprise platforms, including BUILDER SMS and Archibus. - Review facility records for completeness, accuracy, and consistency, and reconcile data across systems. - Identify anomalies and gaps, then document findings with recommended corrective actions. - Data Mining & Analysis - Extract and preprocess data from multiple sources across the facility portfolio. - Evaluate data quality, remove duplicates and inconsistencies, and apply statistical methods to surface meaningful insights. - Use machine learning techniques where applicable to support deeper analysis. - Dashboard Development & Reporting - Build and maintain interactive dashboards and KPI reports using Tableau or Power BI. - Develop clear data visualizations and written summaries that translate complex findings into actionable insights for government decision-makers. - Data Governance & Documentation - Help establish data governance policies and standards. - Create data dictionaries, user manuals, and training materials. - Develop and maintain a Data Refresh and Sustainment Guide, including ETL processes and update schedules. Qualifications - Experience with data analysis, quality assurance, or business intelligence work. - Proficiency with at least one BI tool (Tableau or Power BI strongly preferred). - Comfort working with enterprise data platforms and large, multi-system datasets. - Strong attention to detail and ability to document findings clearly. - Ability to work independently with minimal day-to-day supervision. Requirements - Familiarity with facility management or real property systems (Archibus, BUILDER SMS, or similar). - Experience supporting federal or government contractor environments. - Knowledge of ETL processes and data governance practices. Work Environment - Location: Remote; East Coast strongly preferred (Silver Spring, MD or Tampa Bay, FL area). - Schedule: Full-time, salaried. - Contract Duration: Approximately 8 months, with potential for extension. - Compensation: Approximately $40/hour equivalent, commensurate with experience. - Clearance: No security clearance required; candidate must be able to pass a federal background investigation and obtain a CAC and NOAA email address. - Tools: Work is performed in a Government-furnished Google Workspace environment using Government-issued accounts and multi-factor authentication.