• Design, develop, test, and maintain production-grade dbt projects for our clients (models, tests, macros, snapshots, documentation, and semantic layer) • Build clean, well-documented analytics marts and metrics layers optimized for BI consumption and performance • Collaborate closely with client stakeholders, BI teams, and our consultants to define business metrics and translate requirements into reliable data models • Implement rigorous data quality testing, monitoring, lineage, and governance practices • Optimize cloud warehouse performance for fast BI experiences (incremental models, materializations, query tuning) • Support BI tool implementations and dashboard delivery by delivering analytics-ready data • Manage Git workflows, CI/CD pipelines, and DataOps best practices in client environments • Quickly ramp up on new client stacks and proactively improve their data foundation during the engagement

• Analytics engineers turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports. • Work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that empower business owners to make better and more informed decisions.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. Job Description: Parsons is a leading technology-driven engineering services firm focused on the defense, intelligence, and critical infrastructure markets. We deliver innovative, data-driven solutions that help our customers solve complex challenges and make better, faster decisions. Our teams combine deep domain expertise with advanced analytics, cloud, and digital technologies to drive measurable impact. As a Senior Technical Consultant in Data Analytics & Dashboarding, you will help clients turn data into actionable insights, enabling smarter operations, better performance, and strategic decision-making. Role Overview The Senior Technical Consultant – Data Analytics & Dashboarding is a senior individual contributor and client-facing role responsible for: - Translating business questions into analytical solutions - Designing and implementing data models, analytics workflows, and dashboards - Advising clients on analytics best practices, data visualization, and self-service BI - Leading small teams and mentoring junior analysts/consultants You will work closely with internal stakeholders and external clients to understand requirements, shape solutions, and deliver high-quality analytics products and dashboards that support mission-critical decisions. Key Responsibilities - Lead end-to-end analytics engagements, from requirements gathering to production deployment and user adoption. - Partner with business and technical stakeholders to understand objectives, KPIs, and data sources; translate into robust analytical and dashboard requirements. - Design and build dashboards and reporting solutions (e.g., Power BI, Tableau, Qlik, or similar) that provide clear, intuitive, and actionable insights. - Develop and maintain data models, data transformations, and ETL/ELT pipelines supporting analytics and business intelligence use cases. - Perform exploratory data analysis (EDA), data profiling, and data quality assessment; recommend improvements to data structures and processes. - Apply statistical and analytical methods to identify trends, patterns, and anomalies and to support forecasting, performance measurement, and root-cause analysis. - Optimize dashboards for performance, usability, accessibility, and scalability; establish and promote visualization standards and best practices. - Collaborate with data engineers, data scientists, and domain experts to deliver integrated data solutions. - Document solution designs, data lineage, dashboard logic, and business rules in a clear and maintainable way. - Provide expert guidance and advisory services on data analytics strategy, governance, tool selection, and self-service BI enablement. - Lead and mentor junior team members, providing technical guidance and code reviews. - Support pre-sales and business development activities (e.g., solution design, LOEs, demos, and proposal content) when required. - Ensure compliance with security, privacy, and regulatory requirements relevant to client engagements. Required Qualifications - Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience). - Typically 7+ years of hands-on experience in data analytics, business intelligence, or related technical consulting roles. - Proven expertise in designing and developing interactive dashboards and reports using one or more major BI tools, such as: - Microsoft Power BI - Tableau - Qlik Sense / QlikView - (Or similar enterprise BI platforms) - Strong SQL skills, including building complex queries, joins, aggregations, and performance tuning. - Solid experience with data modeling concepts (star/snowflake schemas, dimensional modeling, facts/dimensions). - Hands-on experience with data transformation and ETL/ELT tools or frameworks (e.g., SSIS, ADF, dbt, Informatica, Talend, or similar). - Proficiency in at least one scripting/programming language for data analysis (e.g., Python, R) is preferred. - Demonstrated ability to translate ambiguous business problems into structured analytical questions and solutions. - Strong understanding of data visualization best practices, information design, and UX principles for dashboards. - Excellent communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders. - Experience working in client-facing or consulting environments, including managing expectations and delivering to deadlines. Security Clearance Requirement: None This position is part of our Critical Infrastructure team. For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people’s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers’ visions—and to help them see what's next! Salary Range: $64.47 - $116.06 This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled. Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

• Develop, enhance, and maintain ETL processes using PL/SQL or IBM DataStage. • Build complex workflows, mappings, and automation scripts to meet T MSIS reporting requirements. • Write efficient shell scripts to support ETL orchestration and automation. • Perform data transformation, integration, and validation across large healthcare datasets. • Collaborate with business and technical stakeholders to gather and document requirements. • Prepare detailed technical design documents based on functional requirements. • Perform in-depth data analysis to troubleshoot data quality, inconsistencies, and performance issues. • Manage and optimize large SQL databases containing healthcare information. • Apply advanced database administration techniques and query performance tuning. • Ensure scalability, efficiency, and reliability of database and ETL components.