Analytics Engineer Remote Jobs in Florida (US)
This page tracks remote analytics engineer openings that are location-eligible for Florida.
This page tracks remote analytics engineer openings that are location-eligible for Florida.
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Role Description Maintains and enhances the OBIWAN Oracle Analytics application and reporting environment while protecting the stability of a mission-critical federal financial platform. The position performs systems analysis, software and report development, limited approved enhancements, defect correction, testing, configuration and release management, documentation, production support, and Tier 3 troubleshooting using FAA-approved SDLC and Agile/DevSecOps practices. The candidate must have the ability to operate effectively under pressure adhering to the ProSol Core Values of: - Agility: rapid adaptation to the changing requirements and environment of our clients; - Excellence: Service quality that exceeds the expectations of our clients; - Integrity: Accountability and honesty−always doing the right thing; - Long-Term Commitment: Unquestioned loyalty and dedication to our clients, partners and employees. Qualifications - Expertise with Oracle Analytics Server, OBIEE, enterprise reporting, metadata/semantic modeling, dashboards, catalog management, and report performance tuning. - Strong Oracle SQL and PL/SQL skills, including complex queries, joins, analytic functions, data validation, and troubleshooting across enterprise data models. - Hands-on experience with software-development lifecycle controls, requirements analysis, design, coding/configuration, testing, defect management, release management, and production support. - Experience using Git, JIRA, Jenkins, or comparable source-control, work-management, build, and deployment tools in controlled enterprise environments. - Ability to diagnose cross-layer issues involving reports, application services, logical models, physical database objects, data integration, security, and infrastructure. - Knowledge of secure coding, vulnerability remediation, configuration control, audit evidence, and federal accessibility expectations for reports and user-facing content. - Strong technical writing and the ability to produce clear specifications, test documentation, runbooks, release notes, and user instructions. Requirements - Bachelor’s degree in computer science, information systems, software engineering, data analytics, or a related technical field; directly relevant experience may substitute for a portion of formal education. - At least five years of experience developing, maintaining, or supporting enterprise analytics, business-intelligence, reporting, or data-warehouse applications. - At least three years of hands-on experience with Oracle Analytics / OBIEE or a closely comparable enterprise BI platform. - Demonstrated experience with Oracle SQL/PLSQL, structured testing, configuration management, production releases, and Tier 3 application troubleshooting. - Experience supporting financial, accounting, budget, procurement, or other mission-critical reporting environments. Preferred Qualifications - Oracle Analytics Server, OBIEE, Oracle Database, or related Oracle certification. - Experience with FAA financial systems, DELPHI, PRISM, OBIWAN, or similar federal financial-reporting platforms. - Experience with Red Hat Linux, Oracle Data Integrator, GoldenGate, Exadata, and Oracle Enterprise Manager sufficient to troubleshoot dependencies. - Experience with Section 508 accessibility, federal cybersecurity controls, ATO support, code scanning, and vulnerability remediation. - Experience working in a small Agile team where members perform both development and production sustainment. Certifications - No certification is contractually mandated. Oracle Analytics, Oracle Database/SQL, Agile, DevOps, Security+, or comparable technical certifications are preferred when supported by relevant experience. Core Competencies - Oracle Analytics development - Systems analysis and design - SQL and PL/SQL development - Testing and defect resolution - Configuration and release management - Production troubleshooting - Secure and accessible development - Technical documentation Supervisory Responsibilities This position has no routine direct reports. The employee may serve as application technical lead, conduct peer reviews, mentor other team members, and direct technical work during releases or incidents. Work Environment and Physical Requirements Work is primarily performed remotely or at a Contractor facility using FAA environments and Government-furnished equipment. The role requires extended computer use, detailed visual review of code and reports, frequent collaboration through virtual tools, and occasional work during planned releases, maintenance windows, or urgent incidents. Performance Expectations - Application changes and report updates are accurate, secure, tested, documented, and released through approved controls. - Production reports and services remain stable, responsive, and aligned with source data and business rules. - Defects and Tier 3 incidents are diagnosed promptly, resolved durably, and documented for future reuse. - Technical documentation, test evidence, configuration records, and release notes remain current and audit-ready. - Code quality, security, accessibility, and maintainability improve over time without unnecessary operational risk. Position Description Disclaimer This description summarizes the position’s primary duties and may be revised for related business or contract needs. It does not create an employment contract. Reasonable accommodations may be provided in accordance with applicable law and company policy. Additional Information ProSol is an equal opportunity employer, all interested qualified applicants are encouraged to apply, EEO/D/M/V/F. ProSol welcomes and encourages diversity in the workforce. All your information will be kept confidential according to EEO guidelines.
Role Description As a Senior Analytics Engineer, you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide analytics at PTR. Leveraging our modern data stack—including Fivetran, Snowflake, dbt, and Sigma—you will tackle complex data modeling challenges, establish scalable data models, and build trusted, high-performance datasets that drive business decision-making. Your primary focus is delivering clean, trusted, and well-governed datasets that enable the BI team to create impactful dashboards and insights across the organization. Responsibilities - Core Modeling & Semantic Layer: Design and build the core dbt models and Sigma datasets/semantic models the business relies on, applying dimensional modeling standards and software engineering best practices (modularity, version control, code review). - Enterprise Shared Dimensions: Own the enterprise shared dimensions — customer hierarchy, GL hierarchy, time dimensions, fiscal calendars, territory mappings, and other conformed dimensions used across Finance, Commercial, and Fleet/Ops. - Performance & Optimization: Tune model and warehouse performance in Snowflake; optimize SQL transformations and manage compute/cost efficiency as data volume grows. - Testing, Quality & Observability: Establish and enforce testing and documentation standards in dbt; partner with the team on data quality and observability practices to ensure trust in all published data assets. - Mentorship & Standards: Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns and conventions others follow (naming, layering, environment strategy). - BI Partnership: Partner directly with the BI analyst team to translate dashboard and reporting requirements into robust dataset designs that enable reliable self-service analytics. - Documentation & Versioning: Maintain clear documentation of models, datasets, and transformation logic using version control and CI/CD practices so BI Analysts can self-serve. - Continuous Improvement: Identify opportunities to automate manual processes, reduce technical debt, and improve the scalability and reliability of the analytics layer. Qualifications - Bachelor’s degree in computer science, Analytics, or a related field (or equivalent work experience). - 5+ years of experience in analytics engineering, data engineering, or ELT/data modeling, including demonstrated senior-level ownership of a transformation layer. - Advanced, production-level expertise with dbt for building, testing, and documenting models. - Strong SQL proficiency for performance-tuned querying, transformation, and optimization. - Deep experience with a modern cloud data warehouse (Snowflake strongly preferred). - Proven expertise in dimensional/data model (star and snowflake schemas, conformed dimension, and SCDs) and semantic-layer design. - Experience with Fivetran (or similar ELT/ingestion tooling) and workflow orchestrations such as Astronomer. - Hands-on experience with version control and CI/CD practices for data workflows. - Demonstrated ability to mentor engineers, lead design/code reviews, and set technical standards. - Strong communication and collaboration skills across technical and non-technical stakeholders. - Ability to develop strong business acumen across multiple business units. Requirements - Hands-on experience with Sigma and semantic modeling. - Experience with data observability tools. - Python for scripting, automation, or light transformation logic. - Understanding of data governance, metadata management, and data privacy/compliance standards. Benefits - Premium healthcare coverage (medical, dental, vision, mental health & virtual healthcare). - 401(k) matching and long-term financial planning support. - Paid time off so you can recharge. - Life, accidental death, and disability coverage. - Ongoing learning and development opportunities. - On-site CrossFit-style gym with a full-time personal trainer. - PTR Swag & Uniform/Boot Allowance. - On-site Micro-Markets stocked with snacks and essentials. - Discounts on phone plans, supplier vehicles, mobile detailing, tools, and equipment. - Performance Incentives (Commissions, Bonuses & Profit Sharing).
Mercy Ships is a global faith-based charity that uses hospital ships to bring life-changing surgeries and transformational medical training to people in some of the most challenging contexts along the African coast. For over 40 years, Mercy Ships has been delivering lasting hope and healing through safe surgical care, while working alongside partners and stakeholders to strengthen local healthcare systems in more than 55 countries. Since the inception of this dream by founders Don and Deyon Stephens in 1978, Mercy Ships has served more than 2.7 million direct beneficiaries without regard for race, gender, or religion.
Role Description Mercy Ships is seeking a Hospital Engineer to serve remotely. The Hospital Engineer is responsible for the operation, maintenance, and lifecycle management of shipboard hospital mechanical and electrical infrastructure across Company vessels. This includes all fixed systems supporting hospital operations, in compliance with applicable medical and marine standards, codes, and Company procedures. This role provides shore-based technical oversight to ensure hospital facilities are safe, reliable, and fully operational, supporting the delivery of quality medical care to those we serve. This position does not include responsibility for equipment managed by the Company’s biomedical team. How You’ll Contribute - Oversee the operation and planned maintenance of all ship’s hospital infrastructure systems and equipment. - Define maintenance priorities and support spare parts planning for essential hospital systems. - Provide technical support to onboard maintenance teams for defect management, troubleshooting, and resolution. - Coordinate and oversee external contractors, service providers, and manufacturers. - Create and manage service requests, work reports, and spare parts procurement within the Planned Maintenance System (PMS). - Conduct annual hospital inspections onboard each vessel in accordance with Company procedures. - Become familiar with marine Classification Society Rules and Regulations. - Attend vessel annual maintenance periods (AMP) to support planned work and major repairs during hospital downtime. - Maintain a working knowledge of the Company Safety Management System (SMS). - Develop, review, and continuously improve SMS procedures related to hospital operations. - Prepare detailed maintenance instructions, operational procedures, and scopes of work. - Review maintenance reports from onboard teams to ensure accuracy and to maintain awareness of equipment condition and performance. - Identify and report on Key Performance Indicators (KPI) to improve processes. - Plan and manage infrastructure modifications, including replacements and upgrades, in alignment with Company change management procedures. - Support hospital operations by ensuring infrastructure compliance with infection control requirements. - Ensure maintenance activities and installations meet applicable medical and marine regulatory standards. - Lead regular technical meetings with onboard hospital maintenance teams and, when appropriate, coordinate with medical staff. - Support People and Culture (P&C) in the evaluation of candidates for hospital technical roles, as required. - Maintain alignment and uphold Mercy Ships Core Values, Code of Conduct. Follow the policies and procedures published on the Company internal website, Compass. - Follow the model of Jesus and align with our core values by Loving God; Loving and Serving Others; Being a Person of Integrity; and a Person of Excellence in all you say and do. - Perform other duties as assigned that are not included in these essential duties. Qualifications - Must enjoy working with people; strong interpersonal skills required. - Must be a team player and willing to collaborate with others. - Committed to providing the best possible customer service. - Ability to embrace, promote, and participate in a well-functioning, productive, and professional team, especially across departments. Requirements - Strong working knowledge of applicable codes and standards related to hospital infrastructure, including medical gas systems, electrical isolation systems, and essential power supplies. Knowledge of marine codes important but not required. - Experience with the operation and maintenance of mechanical and electrical building services (HVAC, piping systems, water systems, etc.) as it relates to hospital systems. - Proven experience in maintenance planning, defect management, and contractor coordination. - Familiarity with planned maintenance systems (PMS) and maintenance reporting processes. - Ability to develop procedures, technical documentation, and scopes of work. - Strong understanding of safety management principles and risk assessment processes. - Comfortable learning new software platforms. Competent in spreadsheets and word processing. - Ability to forecast needs and plan ahead for unexpected changes. - Self-motivated, driven, and thorough. - Ability to travel nationally and internationally. Able to clear Mercy Ships internal medical requirements for travel. - Supportive of Mercy Ships mission and vision and committed to its core values. - Understand and apply servant leadership, work collaboratively with integrity, and demonstrate accountability. Education & Experience - A four-year degree or diploma in Electrical Engineering, Mechanical Engineering, Marine Engineering, or a related technical discipline. - At least four years working in a hospital or healthcare facility in operations and maintenance. - Professional Engineer's license, STCW Regulation III/2 certification or equivalent, preferred. Benefits - Compensation Range for This Position Is $95,000 - $105,000. - This is a full-time, REMOTE position.
Pavago specializes in connecting businesses with top-tier offshore talent in operations, sales, and marketing, offering a comprehensive recruitment solution designed to reduce cost
Role Description We are looking for a skilled Power BI & Data Analytics Engineer to transform engineering specifications into interactive dashboards, automated reports, and data-driven insights. Your role is to bring those specifications to life by building scalable Power BI solutions that utility clients rely on every day. You'll work at the intersection of engineering and software—connecting data from multiple systems, building robust data models, and creating reporting solutions that help municipal water utilities better understand and manage their infrastructure. If you enjoy solving complex data challenges, building high-quality reporting systems, and turning technical requirements into intuitive visualizations, we'd love to hear from you. Responsibilities - Dashboard Development - Build and maintain interactive dashboards and automated reports using Power BI. - Convert engineering specifications into accurate, user-friendly reporting solutions. - Design dashboards that present complex operational and infrastructure data in a clear and actionable format. - Continuously improve existing dashboards based on client and internal feedback. - Data Modeling & Analytics - Build scalable data models using SQL, Power BI, and Python. - Transform large volumes of time-series, asset, and operational data into meaningful insights. - Ensure data accuracy, consistency, and reporting reliability. - Optimize dashboard performance and reporting efficiency. - GIS & Data Integration - Integrate Esri GIS data into reporting solutions and visualizations. - Combine geospatial, operational, and asset management data into unified dashboards. - Develop mapping visualizations that support infrastructure planning and operational decision-making. - Cloud & API Development - Work with Microsoft Azure and Azure Fabric to support reporting and data solutions. - Develop and maintain API integrations that connect multiple business systems. - Support automated data pipelines and reporting workflows. - Collaboration & Continuous Improvement - Work closely with engineers to understand reporting requirements and technical calculations. - Learn complex water utility concepts and translate them into easy-to-understand dashboards. - Recommend improvements to reporting systems, data models, and development processes. - Contribute to the ongoing evolution of the company's reporting platform. Qualifications - You enjoy transforming complex technical data into meaningful business insights. - You can quickly understand engineering concepts and convert them into reporting solutions. - You are highly analytical and detail-oriented. - You enjoy solving complex data problems through automation and visualization. - You take ownership of your work and continuously look for ways to improve systems. - You thrive in collaborative, fast-moving technical environments. Requirements - Advanced experience developing dashboards and reports using Power BI. - Strong proficiency in SQL for querying, transforming, and modeling data. - Experience using Python for reporting, automation, or data processing. - Hands-on experience with Esri GIS. - Familiarity with Microsoft Azure and Azure Fabric. - Experience working with API integrations. - Strong understanding of data modeling and business intelligence best practices. - Experience working with complex datasets such as time-series, geospatial, or asset management data. - Strong analytical and problem-solving skills. - Excellent written and verbal English communication skills. Nice-to-Have - Experience working within the water utility, engineering, infrastructure, environmental, or asset management industries. - Experience developing frontend applications using React or Blazor. - Familiarity with Reporting Hub, IconMaps, Figma, or ClickUp. - Experience building automated reporting platforms for enterprise clients. What Does a Typical Day Look Like? Your day begins by reviewing engineering specifications and project priorities before building new Power BI dashboards and reporting features. You'll write SQL queries, create data models, integrate GIS and API data, automate reporting workflows with Python, and ensure dashboards accurately represent complex engineering calculations. Throughout the day, you'll collaborate with engineers to clarify reporting requirements, troubleshoot data issues, optimize dashboard performance, and contribute ideas that improve the company's reporting platform. By the end of the day, you've delivered reporting solutions that help municipal utility clients make smarter infrastructure decisions using real-time operational data. Interview Process - Initial Recruiter Screening - Client Interview - Offer Stage What Happens After You Apply Right after you apply, you'll receive an email invitation from Spark Hire to record your Intro Video. It's a short, self-recorded introduction completed on your own time and serves as the final step in completing your application. This allows hiring managers to evaluate your communication skills before moving forward with interviews, making the hiring process faster and more efficiently. Please keep an eye on both your inbox and spam folder for your Spark Hire invitation.
• You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems. • You own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners. • You work closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data, acting as a connective link between technical and non-technical teams. • You ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices. • You use tools like Thunderclient and Postman to interface with production systems, and help enhance integrations with Service Providers and Merchants to improve the timeliness and accuracy of claim expense reporting and payments. • You identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual intervention, and help extend our data quality standards and operational analytics practices.
Sync customer data from your warehouse into the tools your business teams rely on.
• Scope difficult reporting questions and clarify the core business decisions the resulting reports must support • Audit and deconstruct complex customer marketing reports across legacy BI tools • Investigate data sources, identity resolution logic, metric definitions, and audience behavior to ensure accuracy • Train non-technical marketers on how to use AI effectively • Explain your analytical findings in a clear, actionable way for business decisions • Design, build, and tune the semantic context layer and document assumptions
• Develop, maintain, and automate complaint analytics dashboards, reports, and statistical trend analyses to monitor quality performance, identify emerging signals, and support Quality Management Reviews, CAPA activities, and business decision-making. • Ensure the integrity, accuracy, and governance of complaint and quality system data through validation, reconciliation, audit trail management, and continuous improvement of reporting processes. • Provide data-driven support for complaint investigations, root cause analysis, risk management activities, and CAPA effectiveness evaluations to strengthen product quality and patient safety outcomes. • Collaborate with Quality Assurance, Regulatory Affairs, Scientific Application Support, Product Development, Manufacturing, Process Engineering, and other cross-functional stakeholders to identify trends and drive continuous improvement initiatives. • Support regulatory compliance, internal and external audits, and inspections through accurate reporting, analysis, documentation, and application of quality system requirements.
SambaSafety is a leading provider of cloud-based mobility risk management software solutions.
Who we are: Hi, we’re SambaSafety and we offer the industry’s most comprehensive driver monitoring software. Our mission is promoting safer communities by reducing risk through data insights. Companies trust SambaSafety to keep their employees safe on the roads, price and reduce risk, help protect their brand, their bottom line, and our global community. We’ve built an inclusive, supportive, and exceptional culture where every employee is empowered in their role. Don’t take our word for it; we’ve been recognized as a Top Workplace by The Denver Post, Albuquerque Journal, Sacramento Bee, and Built In Colorado. And our employees rate SambaSafety as top-notch, with a rock solid Top Rating on Glassdoor. What You’ll Do: As a Senior Business Intelligence Analyst on SambaSafety’s Enterprise Data Team, you will sit at the intersection of traditional BI and modern AI-driven analytics. You’ll build the dashboards, semantic layers, and AI-ready data foundations that let business users — and increasingly, AI agents — get trustworthy answers fast. This role is for someone who wants to actively use AI tools in their daily development workflow (not just report on AI as a topic), while applying rigorous data quality and governance discipline to make sure AI-generated insights are accurate, explainable, and trusted. Responsibilities: AI-Augmented Analytics & Development - Design and build AI-augmented dashboards and self-service analytics experiences using Power BI and Looker, including natural-language query interfaces backed by Semantic Views - Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) daily to accelerate SQL development, dashboard scaffolding, testing, and documentation - Prototype and evaluate GenAI use cases — automated insight generation, anomaly narratives, AI-written executive summaries — to reduce manual reporting effort - Partner with data engineering and data science to productionize forecasting, anomaly detection, and clustering outputs into BI dashboards business users can act on - Write Python for advanced analysis, automation, and integration with LLM/AI APIs where SQL and point-and-click BI tools aren’t enough AI-Ready Data Foundation - Build and maintain AI-ready metadata (table/column descriptions, glossary terms, certified lineage) in OpenMetadata that powers natural-language-to-SQL agents and other AI query tools - Guide and advise engineering teams on the design and adoption of Semantic Views so business terms map cleanly to underlying tables for both human and AI/agent consumption - Define, monitor, and enforce data quality rules (completeness, accuracy, consistency, timeliness) so AI-generated outputs are built on trusted data, not silently wrong data - Partner with data engineering on metadata cataloging efforts that trace lineage from BI reports back to source Snowflake tables, closing gaps that block AI/analytics reliability Core BI & Business Partnership - Explore data to discover patterns, relationships, anomalies, and trends, applying structured, hypothesis-driven analysis increasingly augmented by AI/ML-based approaches - Gain a deep understanding of core business processes and align data/AI development with business strategy - Prepare reports, presentations, and dashboards that translate AI-driven and traditional analytics findings into clear, fact-based recommendations for the next steps - Analyze testing results to ensure BI and AI-assisted solutions meet business needs; recommend standards, policies, and procedures for BI tools, systems, and responsible AI use - Present insights to stakeholders up to the C-suite, translating technical AI/analytics outputs into language business decision-makers can act on What You’ll Need: - BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience; exposure to the software development lifecycle (SDLC) is a plus - 5+ years working in data-related roles, 2+ years involved in company(s) Business Intelligence processes - Expert-level SQL across different RDBMS technologies, plus working knowledge of Python for data analysis and automation - Experience with the Modern Data Stack — Snowflake, Power BI, Looker, and ETL tools; exposure to other Business Intelligence platforms is a plus - Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) in a real development workflow — not just casual use - Experience with or strong interest in LLM-powered analytics: natural-language-to-SQL, RAG-based query agents, or Semantic Views - Comfortable acting as the business/semantic-modeling voice in conversations with data engineering — translating business definitions into Semantic View design guidance rather than writing the underlying pipeline code - Working understanding of prompt engineering and how to validate/QA AI-generated outputs before they reach business users - Experience defining and applying data quality frameworks — profiling, validation rules, monitoring — to ensure trusted, decision-ready data - Familiarity with applied ML concepts (forecasting, anomaly detection, clustering) — you don’t need to build models, but you should be comfortable using and explaining their outputs - Experience with data governance/catalog tools such as OpenMetadata or Atlan is a plus - Experience with NO-SQL databases and large-scale data is a plus - Experience working with C-suite, product teams, and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes - Knowledge of open-source reporting tools like Redash is a plus Benefits and Perks: - Flexible and generous Paid Time Off and Paid Volunteer Days - 401k Employer Match - Generous Healthcare Benefits - Up to 12 weeks paid time off for maternity leave based on tenure - Wellness &Tuition Reimbursement - Flexible Work Arrangements - Lots of SambaSafety swag & SambaSafety Events Our team of talented and committed safety professionals is exceptional. At SambaSafety we strive to foster an inclusive culture that supports, encourages and celebrates a wide array of diversity. We are committed to create a space where all employees can show up as their authentic selves every day, and we work to advance employee equality, diversity and inclusion. SambaSafety provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, and expression or genetics. Come join us to find out for yourself what all the excitement is about!
We transform data into powerful insights that deliver results.
• Author and maintain dbt models and PySpark transformation jobs, replacing ad-hoc Snowflake scripts with governed, version-controlled, tested code • Design and implement delivery endpoint configurations as code-customer, delivery target (Snowflake, S3), cadence, cohort filters, incremental and full historical refresh methods • Write production-grade Python and PySpark for data transformation, validation automation, and delivery pipeline components, including customer-specific data models and schema validation logic • Coordinate and execute monthly RWD deliveries across all active channel partners: delivery job execution, manifest generation and validation, tokenization workflows, and QC • Own the channel partner data inquiry queue-triage, investigate, resolve, and communicate on data questions and discrepancies; you are the primary research contact for channel partners • Follow SDLC best practices: author requirements, write test plans, manage releases, and maintain operating documentation in Confluence • Leverage AI tools (including Claude Code) to accelerate development, automate documentation, generate and verify code, and improve operational throughput
DevSecOps and AI from Cloud to Mission Edge | Kubernetes Partner | Multicloud | 8(a) | HUBZone
• Own testing activities from planning through defect resolution and release validation. • Build technical depth across SQL, databases, ETL processes, APIs, and cloud applications. • Strengthen automated testing, data profiling, traceability, and quality practices. • Support healthcare systems where accurate, secure, and dependable data matters. • Review business and technical requirements and translate them into clear test conditions, acceptance criteria, and validation strategies. • Support requirements development through stakeholder discussions, user stories, process analysis, and backlog refinement. • Build, execute, and maintain automated and manual tests using established tools and frameworks. • Develop test plans and test cases for healthcare data, applications, reports, APIs, and user interfaces. • Validate data-ingestion and ETL processes by comparing source data, transformation rules, and target outputs. • Write SQL queries and joins to investigate data quality, confirm business rules, and identify missing, duplicate, inconsistent, or unexpected records. • Perform functional, system, integration, regression, component, and performance testing. • Maintain traceability between requirements, test coverage, defects, and delivery outcomes. • Support user-acceptance testing, defect triage, root-cause analysis, and resolution. • Partner with developers, analysts, product owners, and subject-matter experts to resolve complex application and data issues. • Document test results, risks, defects, and recommendations for technical and non-technical stakeholders. • Help improve testing tools, methodologies, and automation strategies.
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SQL, Python, SDLC, Data Analytics, Cloud, Oracle Database