<p>We are looking for a skilled Business Intelligence Analyst to join our client's team on a short-term contract basis. In this role, you will leverage your expertise in data analysis, reporting, and dashboard creation to support executive-level decision-making and optimize IT operations. This position offers the flexibility of working remotely, making it ideal for professionals who thrive in independent environments.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and interpret complex datasets to extract actionable insights for business operations.</p><p>• Design and develop dynamic reports and dashboards tailored for executive audiences.</p><p>• Collaborate with stakeholders to gather requirements and align analytics solutions with business needs.</p><p>• Utilize Power BI and Tableau to create visually compelling and user-friendly dashboards.</p><p>• Perform integrations between organizational tools and Power BI, ensuring seamless data flow.</p><p>• Support IT operations reporting and network operations reporting through detailed analyses.</p><p>• Apply advanced data modeling techniques to structure and organize information effectively.</p><p>• Develop APIs to facilitate data sharing and enhance reporting capabilities.</p><p>• Enable data-driven decision-making by providing accurate and timely insights.</p><p>• Work independently while contributing to team objectives and fostering collaboration.</p><p><br></p><p>Top 3 Hard Skills:</p><p>1 Past experience performing API integrations between SAAS tools and Power BI</p><p>2 Experience building dashboards for an executive level audience</p><p>3 Prior experience in IT Operations reporting or network operations reporting</p>
<p>We are transforming digital healthcare experiences—from enterprise SaaS platforms to patient‑facing social media engagement. To support our growth, we are hiring <strong>two Product Business Analysts</strong>, each focused on a unique product area:</p><ol><li><strong>Healthcare SaaS Product Business Analyst</strong></li><li><strong>Healthcare Social Media / Instagram Product Business Analyst</strong></li></ol><p>If you're data-driven, passionate about solving problems, and thrive at the intersection of technology, healthcare, and user experience, we’d love to meet you.</p><p><br></p><p><strong>Role 1: Product Business Analyst — Healthcare SaaS</strong></p><p>As the Product Business Analyst supporting our Healthcare SaaS platform, you’ll partner closely with engineering, implementation, customer success, and clinical teams to build and enhance core product features. You’ll analyze product performance using KPIs, translate business needs into actionable requirements, and support delivery in an Agile/Scrum environment.</p><p><strong>Ideal for someone who has:</strong></p><ul><li>Experience with B2B HealthTech, EMR, Medicare, or workflow automation</li><li>Strong analytical skills and familiarity with data-driven decision-making</li><li>Comfort translating complex technical concepts for non-technical end users</li></ul><p><strong> Role 2: Product Business Analyst — Healthcare Social Media / Instagram</strong></p><p>This analyst will support our consumer-facing healthcare engagement products. You’ll help shape digital content features, improve user engagement funnels, and work with marketing and creative teams to optimize Instagram-driven experiences.</p><p><strong>Ideal for someone who has:</strong></p><ul><li>Experience working with social media insights, KPIs, and content performance analytics</li><li>Understanding of patient engagement, health education content, or regulated digital communication</li><li>A strong sense for data-driven design, UX experimentation, and engagement optimization</li></ul><p> <strong>What You’ll Do (Both Roles)</strong></p><ul><li>Translate business needs and customer insights into user stories, workflows, and acceptance criteria</li><li>Use <strong>KPIs and data-driven design principles</strong> to inform product decisions</li><li>Collaborate with engineering, design, marketing, and operations in an <strong>Agile/Scrum environment</strong></li><li>Communicate technical requirements in a way that resonates with <strong>non-technical stakeholders</strong></li><li>Analyze product usage data and recommend enhancements based on trends and measurable outcomes</li><li>Maintain an organized and prioritized product backlog</li><li>Support roadmap planning, release readiness, and continuous improvement initiatives</li></ul><p><br></p>
<p><strong>Data Analyst - Operations & Engineering Support (Entry Level) </strong></p><p><br></p><p>Overview: This isn't a traditional "pull reports and make charts" analyst role.</p><p><br></p><p>As an entry level <strong>Data Analyst</strong>, you’ll operate at the intersection of data engineering, technical support, and operations. You’ll help troubleshoot data issues, support pipeline reliability, and fulfill ad-hoc data requests while gaining hands-on exposure to the full data ecosystem. This is a fast-paced, high-impact role where adaptability, curiosity, and problem-solving are key. You don’t need to know everything on day one—we’re looking for someone proactive, resourceful, and eager to learn. The ideal candidate takes initiative, explores problems independently, and uses available tools (including AI) to find solutions efficiently.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>Data Issue Triage: Investigate and resolve L2/L3 data-related issues by analyzing datasets, writing queries, and clearly documenting findings for internal teams.</p><p>Pipeline Monitoring & Support: Develop an understanding of data pipelines, identify potential points of failure, and proactively flag issues.</p><p>Data Quality & Validation: Perform quality checks on datasets (both spatial and tabular) to ensure accuracy before distribution.</p><p>Data Integration: Assist with onboarding new data sources into ETL processes, including setup, testing, and validation.</p><p>AI-Driven Problem Solving: Leverage AI tools to accelerate troubleshooting, learn new systems, and improve efficiency—while applying sound judgment.</p><p><br></p><p><strong>Required Skills & Technologies </strong></p><p>SQL: Comfortable writing queries using joins, filters, and aggregations to explore and analyze data.</p><p>Programming Exposure: Familiarity with Python, R, or similar scripting languages; not afraid to work with code.</p><p>Ticketing Systems: Experience with tools like Jira, Asana, or similar for managing and tracking work.</p><p>Version Control: Basic understanding of Git (commits, branches, pull requests). Experience & Mindset 0–2 years of experience in data analytics, technical support, or a related field. Naturally curious and resourceful; able to research, test, and problem-solve independently.</p><p>Strong attention to detail with a focus on data accuracy. Comfortable working in a dynamic environment with shifting priorities. Clear and concise communicator, especially in written formats (tickets, documentation, messaging tools).</p><p>Interested in growing toward a data engineering career path.</p>