Role Description The Power BI Analyst & Dashboard Developer integrates data from the company’s Electronic Medical Record (EMR), CRM, survey platforms, and outcome tracking tools into clean, validated dashboards that leadership can actually act on. This is an analyst role first, developer second. Technical Power BI skill gets you in the door — but your data instincts, validation discipline, and willingness to ask 'does this even make sense?' are what make you successful here. What You'll Do - Data Validation & Analytical Thinking (Your Primary Focus) - Validate every dataset for plausibility, completeness, and consistency before building — flag outliers, gaps, and improbable distributions. - Treat large 'Other,' 'Unknown,' or null buckets as findings to investigate, not defaults to leave alone. - Reconcile metrics against operational reality; if a number doesn't match what stakeholders see, stop and investigate. - Document data quality findings and ship every dashboard with a written caveat and limitations note. - Constructively push back on requests built on flawed assumptions — ask questions before building. - Dashboard Development & Reporting - Design and maintain Power BI dashboards for executive, director, and department audiences using DAX, Power Query (M), and solid data modeling. - Connect Power BI to source systems via native connectors, REST APIs, ODBC, SQL, and file-based extracts. - Build and monitor automated dashboard refreshes; troubleshoot failures fast. - Track and report on clinical outcomes, admissions conversion, marketing performance, revenue, and alumni engagement. - Translate leadership's business questions into dashboards that support decisions — not just visualizations. - Process, Documentation & Collaboration - Document data sources, transformations, refresh schedules, and logic so the work is transferable. - Develop ad hoc reports with clearly documented methodology and assumptions. - Audit data quality across source systems on a recurring basis. - Participate in scheduled calls during Arizona business hours; meet deadlines without daily oversight. - Follow all HIPAA, 42 CFR Part 2, and Horizon information security protocols strictly. Your First 90-Day Deliverable: Marketing & Lead Analytics Platform - End-to-end lead funnel (inquiry → assessment → admission) with conversion rates and drop-off by stage. - Source and channel attribution for every lead with documented categorization rules. - Lead loss / fallout analysis with categorized reasons (no unexplained 'Other' >10%). - Marketing spend tracking: cost per lead, cost per qualified lead, cost per admission by channel. - Cohort views by month, campaign, and channel. - A written data dictionary and refresh-schedule document. - Validated, reconciled metrics with documented limitations. - Two structured handoff sessions with the VP of Growth. Qualifications - You instinctively ask 'does this make sense?' before publishing anything. - You recognize implausible data, flat trends, and suspiciously clean distributions — and you investigate. - You have expert-level Power BI: DAX, Power Query (M), data modeling, RLS, Power BI Service. - You write efficient SQL and can query against relational databases confidently. - You've integrated Power BI with multiple disparate systems (APIs, ODBC, web connectors, file extracts). - You're comfortable with healthcare or behavioral-health data — EMR/EHR exports, CRM pipelines, survey instruments. - You communicate clearly in written and spoken English with non-technical executives. - You push back constructively when requirements are ambiguous or data is unreliable. - You are self-managing, deadline-driven, and proactive when something is at risk. Requirements - Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Health Informatics, or equivalent demonstrated experience. - 5+ years building production Power BI dashboards used by business leadership, with verifiable references. - Microsoft certification preferred (PL-300 Power BI Data Analyst Associate or equivalent). - Documented experience integrating Power BI with at least 3 distinct source systems (e.g., CRM, EMR/EHR, survey platform, financial system). - Proven track record of catching and resolving data quality issues. - Reliable high-speed internet (min. 50 Mbps down / 10 Mbps up), backup power, and a private secure home workspace. - Ability to work 40 hours/week consistently aligned to Arizona (Mountain Time) business hours. - Willingness to sign a BAA, Independent Contractor Agreement, and NDA before any system access. - Completion of HIPAA and 42 CFR Part 2 training (with certificate) prior to system access; annual renewal required. - Encrypted device, MFA, VPN, no local PHI storage, no personal cloud storage — full compliance with company’s information security policy. Benefits - This is a full time job. - $7-$8/hr. - 100% Remote.

Role Description Sr. Microsoft Dynamics Business Central / NAV Developer to our team in a remote capacity. This role works closely with the other members of our Professional Services team to perform development activities for new and existing Microsoft Dynamics Business Central customers. The primary focus of the role will be Dynamics Business Central Development. What You Will Be Doing: - Analyzing and estimating client modification requests - Writing code to extend all functional areas of Business Central - Testing functionality developed by the implementation team against business requirements - Delivering modifications to clients - Providing pre-go-live and post-go-live end-user support - Serving as the lead technical expert on the implementation team - Developing modifications and creating outputs as defined by standard system design lifecycles - Assisting sales with modification estimates and presales demos in pursuit of new business Qualifications - 5 or more years of experience as a software developer working with Dynamics Business Central / NAV, at least 3 of which must be with the AL programming language - Experience with Business Central 15 and above is required, specifically with using events to perform modifications. Additional experience with prior NAV versions is highly desirable. - Hands-on experience working with clients with at least one of the following: Power Automate, Power Apps, Power BI, Azure Development - Experience extending common third-party add-on solutions highly desired - Experience with automated testing desired - Candidates experienced with Docker, Git, and Azure DevOps will receive particular preference Requirements - Nice to have certifications: - MB-800 Microsoft Dynamics 365 Business Central Functional Consultant - AZ-204 Developing Solutions for Microsoft Azure - AZ 800/900 Certificates - DP 600 a plus

Role Description This role is responsible for developing predictive models and forecasting frameworks that support marketing performance, customer acquisition, and market targeting, while also contributing to broader internal data science initiatives. The position combines hands-on statistical modeling and machine learning with applied business problem-solving to drive more effective, data-driven decision-making. The role will work closely with BI and analytics partners to ensure alignment between predictive outputs and reporting, helping translate model results (e.g., lead scoring, conversion propensity, and forecasting) into actionable insights. In parallel, this individual will support internal data science and modeling efforts, contributing to the development of proprietary analytics capabilities. The role is expected to initially focus on marketing-related modeling and progressively expand into deeper data science work over time. This position requires a solution-oriented mindset — someone who takes ownership, challenges assumptions, and actively improves processes rather than simply executing tasks. Key Responsibilities - Develop, validate, and maintain predictive models including lead scoring, conversion propensity, and funnel optimization - Develop tiering models to prioritize leads by conversion probability - Build forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections - Build channel performance models to optimize budget allocation across paid search, email, ISO partners, etc. - Monitor model performance and iterate to improve accuracy and business impact - Develop models to evaluate and prioritize markets based on expected performance and ROI - Analyze geographic, industry, and segment-level trends to identify growth opportunities - Support data-driven recommendations on market targeting and resource allocation - Support campaigns/future product launches by forecasting lead volume, conversion rates, and CAC by channel - Design and analyze experiments (A/B testing, cohort analysis) and evaluate incremental impact - Apply statistical and machine learning techniques to solve marketing and business problems - Conduct deep-dive analyses to support strategic and operational decisions - Contribute to internal data science and modeling initiatives, including proprietary or internal IP work - Collaborate with Data Engineering to structure and prepare datasets for modeling - Partner with BI and analytics teams to ensure model outputs are integrated into reporting and usable by stakeholders Qualifications - Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or related field - 3 to 7 years of experience in data science, applied modeling, or advanced analytics - Strong proficiency in Python and SQL - Proven experience building and validating predictive models in a business environment - Experience with statistical methods, machine learning techniques, and forecasting approaches - Strong problem-solving skills and ability to translate business problems into analytical solutions - Ability to communicate complex analytical concepts to non-technical stakeholders - Experience with customer acquisition cost modeling and marketing ROI analysis Preferred - Experience working with marketing, customer acquisition, or lead generation data - Familiarity with segmentation, lead scoring, or customer lifecycle modeling - Experience with experimentation and causal inference methods - Exposure to market-level modeling or customer targeting strategies - Experience contributing to production-level or internal data science projects Key Soft Skills - Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders - Collaboration: works effectively across engineering, analytics, and business teams Technical Skills - As stated under "Required Background / Industry Experience" Benefits - USD Base Salary - Enjoy Paid Time Off (PTO) after just 6 months of service - Full-time opportunity - Enjoy the freedom of a completely remote work environment!

Role Description As a Business Intelligence Manager (All), you will leverage your expertise in data, analytics, and technology to drive insight-led media performance for our global client. Your responsibilities will span: - Dashboard development - Data pipeline optimization - Stakeholder engagement - Cross-functional collaboration Your key tasks include: - BI and Data Architecture: Design, develop, and maintain interactive dashboards, BI reports, and optimize ETL processes and data models for efficient and scalable data insights. - AI-Assisted Development: Utilize AI-assisted development tools (e.g., GitHub Copilot, Gemini CLI) to accelerate SQL and dbt script writing, debug data anomalies, and streamline data workflows. - Performance Analysis & Strategic Collaboration: Analyze media performance data to identify trends and anomalies, collaborate with media, marketing, and tech teams to translate business needs into technical solutions, and influence strategy through clear data presentation. - Data Integrity & Innovation: Ensure data integrity through continuous monitoring, troubleshooting, and maintenance of backend data infrastructure, while staying ahead of industry best practices and advancements in BI, data visualization, and AI capabilities. Qualifications - 3+ years of experience as a business intelligence or reporting specialist. - Practical, daily experience using Generative AI tools as a research and coding co-pilot, with the core technical expertise to confidently guide and validate AI outputs. - Proficient in Power BI, Tableau, or similar visualization tools, and strong SQL and scripting skills (Python, R, etc.) or statistical/mathematical software (e.g., SPSS, SAS, or Matlab). - Cloud platform experience (GCP, AWS, or Azure) and skilled in Git; experience with dbt (data build tool) is a plus. Requirements - Strong communication skills. - Ability to work collaboratively in a team environment. Benefits - Flexible working hours & remote work options. - 30 vacation days plus one flexible day; the 24th and 31st of December are free. - Health benefits and attractive retirement plans. - Mental Health Awareness Days. - Diverse training opportunities and internal career programs. - Unforgettable events, employee discounts, and highlights such as the Job Ticket, Wellhub, or the Job Bike. - Commitment to diversity and equal opportunities.