• Create standardized yet customizable data visualization templates • Provide study teams with high-impact graphical tools to support early development decision-making • Serve as a partner and point of support for clinical scientists, offering training and ongoing consultation • Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection • Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles • Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones • Support documentation and quality control of visualization deliverables to ensure traceability and compliance • Participate in training sessions and incorporate feedback from experienced Real-time Visual Analytics Specialists

Title: PowerBI Visualization Analyst Location: Remote, US Job Description: POSITION DESCRIPTION Power BI Data & Visualization Analyst Customer Experience & Business Analytics | Banner Solutions Job Title: Power BI Data & Viz Analyst Reports To: Director, CX Process Improvement Travel: <10% Location: Hybrid ABOUT BANNER SOLUTIONS & THE ROLE Banner Solutions is a premier national wholesale distributor specializing in commercial door hardware, access control systems, and security products (CSI Divisions 8, 10 & 28), representing 260+ manufacturers with a 98%+ same-day ship rate. We serve a diverse customer base, including Contract Hardware Dealers, Glass & Glazing Dealers, Building Material Suppliers, EAC Integrators, Locksmiths, Institutional End Users, e-tailers, and retailers nationwide. We are relentlessly focused on making our customers' jobs easier, driving continuous investment in technology, process improvement, and data-driven decision-making. We seek a Power BI Data & Visualization Analyst to architect our Power BI reporting ecosystem for our customer experience (CX) strategy, and Customer Success and Service operations. Reporting to the Director of CX Process Improvement, you will transform data from ERP, CRM and other applications into trusted dashboards, scorecards, and analytical models that help leadership differentiate customer experience, grow revenue, reduce customer friction, and allocate resources. High-impact individual contributor role with a clear path to Senior Analyst or Analytics Lead. ENTERPRISE TECHNOLOGY ENVIRONMENT BI / Viz MS Power BI, MS Fabric (Source Code Manager) ERP Epicor P21 CRM Salesforce Contact Center Genesys Cloud CX PIM Akeneo Languages SQL, Python, DAX, M (Power Query) Data Lake MS Fabric Productivity MS 365, Excel (Advanced) Industry CSI Div. 8, 10 & 28 Version Control Git (preferred) CORE RESPONSIBILITIES Power BI Development & Data Visualization - Design and maintain production-grade Power BI reports and dashboards as the single source of truth for sales, CX, Customer Success, and Customer Service. - Govern the Power BI semantic model in MS Fabric SCM: row-level security, incremental refresh, deployment pipelines, and metric consistency organization-wide. - Author advanced DAX measures (time intelligence, semi-additive, filter context) and Power Query (M) scripts connecting P21, Salesforce, Genesys, Akeneo, MS Fabric. - Partner with CX management to audit, rationalize, and maintain all existing operational dashboards; establish a prioritized roadmap for new analytics capabilities. Customer Experience (CX) Analytics - Build a CX analytics framework measuring key moments of truth: quote response time, order accuracy, on-time delivery, return rates, contact center resolution, and NPS or other measured sentiment outcomes. - Segment Banner&rsquo;s customer base to identify behavioral patterns, share-of-wallet expansion opportunities, and churn risk by segment, product category, DC, and territory. - Develop internal dashboards for key CX metrics spanning the full order-to-cash business process. - Integrate Genesys contact center data with P21 transactional history to quantify service failure costs and surface root-cause process improvement opportunities. Customer Success Analytics &mdash; Front-End (Quoting & Order Entry) - Build descriptive and diagnostic dashboards for quote pipeline health: conversion rates, quote aging, response time, and accuracy by rep, segment, and product category (P21 & Salesforce). - Analyze order entry performance metrics &mdash; cycle time, first-time-right rates, and error rates by type &mdash; to identify process improvement opportunities in partnership with Customer Success management. - Develop predictive models to score quote-to-order conversion likelihood, forecast order volume by segment and territory, and surface high-probability opportunities for proactive customer outreach. - Create 360&deg; customer-facing and internal views of each account&rsquo;s transactional and strategic experience with Banner, combining quote, order, and contact history. Customer Service Analytics &mdash; Back-End (Returns & Replacements) - Design and maintain descriptive analytics for returns and replacement workflows: return rate by SKU, product category, customer segment, and reason code; replacement cycle time; and total cost-of-returns tracking. - Apply diagnostic analytics to identify root causes of return and replacement volume spikes; correlate service failure patterns with customer churn risk and prioritize remediation with Customer Service management. - Develop predictive return-risk scoring models that generate early-warning signals and trigger proactive outreach before customers escalate, reducing replacement costs and protecting customer relationships. - Measure and trend the impact of service recovery actions on downstream customer retention, repeat purchase behavior, and NPS to quantify the ROI of service improvement initiatives. AI Tools & Intelligent Analytics - Leverage Microsoft Copilot for Power BI &mdash; including natural language Q&A, AI-generated report summaries, and anomaly detection &mdash; to extend self-service analytics. - Use AI-assisted development tools (GitHub Copilot, Azure OpenAI, or equivalent) to accelerate DAX, SQL, and Python development; critically evaluate all AI-generated code and analytical output for accuracy and governance compliance. - Ingest, model, and visualize structured outputs from Banner&rsquo;s quote and order automation platform, turning exception logs and automation performance data into operational dashboards that measure ROI and surface friction points. - Apply prompt engineering techniques to direct AI tools in generating draft analyses, summarizing large datasets, and producing narrative interpretations of dashboard findings. - Serve as a critical reviewer of AI-generated analytical outputs &mdash; validating model results, identifying data quality artifacts, and ensuring all AI-assisted insights meet Banner&rsquo;s accuracy and governance standards before reaching decision-makers. - Stay current on responsible AI principles &mdash; bias detection, model explainability, and human-in-the-loop validation &mdash; as they apply to customer-facing scoring models such as churn risk, return risk, and quote conversion. SQL, Data Engineering & Python - Write and optimize complex SQL queries against MS Fabric and P21; build reusable parameterized views and stored procedures for scheduled and ad hoc reporting needs. - Automate recurring data pipelines in Fabric SCM; proactively identify data quality issues and partner with IT and source system owners to remediate. - Use Python (pandas, NumPy, scikit-learn) for analytics beyond BI tooling: predictive modeling, churn forecasting, return-risk scoring, trending, and demand pattern analysis. - Support new data source onboarding including AI/ML streams from Banner&rsquo;s quote and order automation initiative. Insight Communication & Analytics Operations - Translate complex findings into compelling executive narratives; deliver performance reviews and data-backed recommendations to leadership across Sales, Ops, Marketing, Finance, Service, and General Management. - Champion data literacy: train end users on self-service Power BI, document metric definitions, and maintain a governed metrics catalog across all business functions. QUALIFICATIONS Required - 3+ years hands-on Power BI development (production) - Advanced DAX: time intelligence, row/filter context - Power Query / M for complex ETL transformations - Star-schema data modeling; Power BI Service administration - Familiarity with AI-assisted dev tools (GitHub Copilot, MS Copilot); ability to critically evaluate AI-generated code and analytical output for accuracy - Proficient to advanced SQL (CTEs, window functions, optimization) - MS Fabric, Azure Data Lake, or equivalent cloud data lake - Python proficiency: pandas, NumPy, matplotlib/seaborn - Statistical reasoning: regression, segmentation, cohort, A/B - Bachelor&rsquo;s in Statistics, Math, CS, IS, Economics, or related - PL-300 cert strongly preferred or actively in progress - Excellent communication and executive presentation skills - Proven ability to manage concurrent projects in fast-paced environment Page Break Preferred Differentiators - Wholesale distribution, building products, or B2B experience - Epicor P21 ERP data structures and reporting - Salesforce CRM integration (SFDC data model, Connector, API) - MS Copilot for Power BI, Azure OpenAI, or AI Builder experience - Quoting, order management, or returns/RMA analytics - CRM-to-ERP data flows: quote-to-order and order-to-cash - Genesys Cloud contact center data analytics or experience with equivalent applications - AI automation platform data integration - Predictive / ML modeling (scikit-learn, statsmodels) - DAX Studio, Tabular Editor, or ALM Toolkit, RLS - Git version control for BI and analytics code assets - Responsible AI principles: bias detection, explainability, human-in-the-loop validation Cultural Fit & Attributes - Driven, self-starter, disciplined, and results-oriented with a hunter mentality. - Committed to process excellence, accountability, and continuous improvement. - Collaborative team player who leverages internal and external partnerships and best practices to win. - Embodies Banner Solutions&rsquo; values of Courtesy, Respect, Quality, Professionalism, and Discipline. - Comfortable taking on end-to-end projects from ideation to execution; challenging current biases as appropriate SUCCESS METRICS &mdash; FIRST 12 MONTHS - 60 days: Audit all Power BI reports and CS/Support dashboards; document data lineage, refresh schedules, quality issues, and stakeholder usage patterns. - 90 days: Deliver enhanced Customer Success and Service Performance Dashboards; identify top 3 dashboard optimization priorities with Customer Success / Service and CX management. - 6 months: Launch internal Customer Experience Health Scorecard for at-risk account identification and wallet-share growth; Quote-to-Cash CX Analytics Dashboard with descriptive and diagnostic layers complete. - 12 months: Full semantic model governed on MS Fabric; self-service enablement to reduce ad hoc requests measurably; deliver &ge;1 predictive model and Customer 360 model draft approaches. COMPENSATION & BENEFITS Competitive Base Salary ✓ Performance Bonus ✓ 401(k) + Match ✓ Medical / Dental / Vision ✓ Hybrid Flexibility ✓ Paid Time Off ✓ The job description is not an exhaustive listing of all responsibilities and may be revised at any time.

Role Description ASRC Agile Decision Sciences LLC is currently seeking qualified candidates to support our Army G-1 mission under the CECOM SEC SETA program at Aberdeen Proving Ground, MD. ASRC is seeking a qualified candidate to fill the Appian Data Analyst Senior position to support our customer at Aberdeen Proving Ground. The Data Analyst Senior will leverage Appian’s analytics and reporting capabilities to provide advanced data analysis, visualization, and reporting for the DAMIS program. This role directly supports Army G-1 by delivering actionable insights, ensuring compliance, and enabling leadership to make informed, data-driven decisions. - Collect, clean, and interpret datasets within DAMIS and across Army personnel systems - Build Appian dashboards and visualizations providing real-time readiness and compliance metrics - Apply statistical and analytical methods to support Army G-1 mission requirements - Identify trends, gaps, and opportunities for process improvement in DAMIS workflows and reporting - Support integration of Appian data with external Army systems and enterprise platforms - Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint execution Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, or 4+ additional years of relevant work experience - 5+ years of experience in Data Analysis - 2+ years of professional data analysis experience with Appian - Strong written and verbal communication skills, with the ability to translate complex data into actionable insights - US Citizenship Requirements - Prior DoD or Army data analysis experience - Active DoD Secret clearance highly desired - Familiarity with Palantir, AI/ML techniques, or predictive analytics - Proficiency with SQL and BI/analytics tools (Power BI, Tableau) - Security+ or related DoD 8570 certification Benefits - Competitive pay and benefits packages - Health care, dental, vision, life insurance - 401(k) - Education assistance - Paid time off including PTO, holidays, and any other paid leave required by law

• Be part of a team supporting the Centers for Medicare and Medicaid Services (CMS) by disseminating data to researchers who are studying ways to improve the quality and reduce the cost of care provided to chronically ill Medicare and Medicaid beneficiaries. • Ingest, validate, and document data from new sources to ensure quality, consistency, and usability within the broader Medicare and Medicaid data ecosystem. • Provide subject matter expertise and technical guidance to stakeholders, answering data questions from a variety of federal researchers and healthcare analysts. • Provide technical writing and revision of existing output review guidelines. • Write and maintain production-quality code in Python, R, or SAS to clean, transform, and analyze healthcare data at scale. • Review analytic specifications and outputs to ensure alignment with business rules and research requirements. • Communicate and coordinate output reviews with team members and helpdesk and respond to researcher inquiries.