Senior Business Analyst

Jobgether · United States · $88k–$100k

Posted about 1 month ago

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Skills

SQLData modelingPower BITableauRoot-cause analysisSix SigmaLeanKaizenProduct analyticsRevenue modelingForecastingVariance analysisKPI architectureStatistical methodsProcess optimizationAI-assisted analytics

Benefits

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Business Analyst in United States.

We are seeking a Senior Business Analyst to drive strategic decision-making through AI-enabled analytics and actionable insights. In this role, you will design and operate product intelligence systems, lead root-cause analysis, and implement continuous improvement cycles that enhance growth, retention, forecast accuracy, and product quality. You will collaborate across Finance, Product, Sales Operations, and Customer Success teams to transform data into high-impact decisions. This role offers the opportunity to influence critical business outcomes, optimize operational performance, and leverage advanced analytics and AI tools in a fast-paced, fully remote environment. Ideal candidates thrive on data-driven problem-solving, process optimization, and delivering measurable business improvements.

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Accountabilities:
  • Own KPI architecture, including definitions, lineage, SLAs, and decision-use cases, leveraging AI-assisted metric validation.
  • Instrument, monitor, and operationalize leading indicators such as activation, adoption, time-to-value, and quality metrics.
  • Lead structured root-cause analyses using Six Sigma, statistical methods, and AI-assisted pattern detection.
  • Drive closed-loop improvement cycles to translate insights into actionable process and product enhancements.
  • Partner with Finance, Sales Operations, and Customer Success teams to support revenue modeling, forecasting, and variance analysis.
  • Build decision-oriented dashboards, define measurement plans for experiments, and automate analytics workflows using BI and AI tools.
  • Identify systemic delivery bottlenecks, reliability issues, and process inefficiencies, recommending corrective actions.
  • Validate data sources, instrumentation, and telemetry to ensure accuracy, AI readiness, and KPI alignment.

Requirements:

  • 3+ years of experience in Product Operations, Product Analytics, BizOps, RevOps, or FP&A analytics (or equivalent impact).
  • Strong SQL and data modeling skills with experience in semantic layers.
  • Advanced BI expertise in Power BI and/or Tableau.
  • Proven leadership in conducting root-cause analyses and implementing cross-functional corrective actions.
  • Experience with process improvement or engineering methodologies (Lean, Six Sigma, Kaizen); Green Belt strongly preferred.
  • Ability to translate complex data into clear recommendations for business stakeholders.
  • Preferred: familiarity with experimentation platforms, product instrumentation tools, AI-assisted analytics, and reliability metrics.

Benefits:

  • Competitive salary ($88,208 - $100,000 annual base, depending on location, qualifications, and experience)
  • Comprehensive health and wellness benefits
  • 401(k) Savings Plan with company contributions
  • Stock incentive programs
  • Paid time off and parental leave
  • Tuition assistance and career development support
  • Fully remote role with up to 20% international travel for internal meetings


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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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