Senior Business Analyst

Clinisys • Tucson, AZ

1d

About The Position

Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.
As a senior business analyst, you will be responsible for designing, operating, and continuously improving product intelligence systems utilizing AI-enabled analytics and agent technology, driving business outcomes across growth, retention, predictability, and product quality. This role owns metric architecture, root-cause analysis, and closed-loop improvement cycles that convert data and AI-generated insights into decisions and sustained performance gains.

Requirements

• 3+ years in Product Ops, Product Analytics, BizOps, RevOps, or FP&A analytics (or equivalent impact).
• Strong SQL and data modeling skills; experience with semantic layers.
• Advanced BI experience with Power BI and/or Tableau.
• Demonstrated leadership of RCA and cross-functional corrective actions.
• Continuous improvement or process engineering experience (Lean, Six Sigma, Kaizen); Green Belt strongly preferred.

Nice To Haves

• Lean Six Sigma Green Belt (or higher).
• Experience with experimentation platforms and causal measurement.
• Familiarity with product instrumentation and delivery tooling (e.g., Azure DevOps).
• Experience applying AI tools for analytics automation with governance.
• Working knowledge of DORA and reliability engineering metrics.

Responsibilities

• Own KPI architecture including definitions, lineage, SLAs, and decision use-cases, supported by AI-assisted metric validation.
• Instrument and monitor leading indicators such as activation, time-to-value, adoption depth, and quality using automated and AI-driven monitoring.
• Operationalize metrics as products with versioning, change control, and documentation.
• Lead structured RCA using 5 Whys, Fishbone, Pareto, and statistical analysis, augmented by AI-assisted pattern detection.
• Translate findings into corrective actions across processes, backlogs, and operating models.
• Run closed-loop improvement cycles (measure → diagnose → improve → control).
• Apply process engineering techniques including process mapping and value-stream mapping.
• Partner with Finance, Sales Operations, and Services/Customer Success Operations to support product-level ARR/MRR reporting across new, expansion, contraction, and churn motions.
• Assist with maintaining forecast inputs and assumptions, including pipeline signals, adoption trends, onboarding throughput, and time-to-value metrics.
• Produce plan-versus-actual variance analyses and contribute data-driven insights to inform corrective actions and prioritization discussions.
• Build decision-oriented dashboards in Power BI or Tableau.
• Define measurement plans for experiments and feature rollouts.
• Use AI tooling to automate analysis and accelerate insight generation.
• Design product business reviews focused on decisions and corrective actions.
• Deliver concise pre-reads highlighting risks, root causes, and AI-informed recommendations.
• Analyze delivery and reliability metrics and link them to customer impact.
• Identify systemic bottlenecks and recommend throughput improvements.
• Validate telemetry and KPI alignment with Data and Engineering teams, including AI-readiness of data sources.
• Lead RCA on data quality issues to eliminate recurrence.
• Automate recurring reporting through reusable data models.

Benefits

• Our benefits for Full Time employees are designed to help you move forward in your career, and in areas of your life outside of work. From health and wellness benefits, 401 (k) Savings Plan, stock incentive programs, paid time off, parental leave, and tuition assistance, we've got you covered with our total rewards package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees