Senior IT M&A Analyst supporting mergers and acquisitions for a nationally ranked CPA firm. Analyzing firm data and coordinating transitions with cross - functional teams and clients.
About the role
- Senior Analyst, Brand Analytics managing data processes and driving commercial decision-making for Silversea brand across global markets.
Responsibilities
- The Senior Analyst, Brand Analytics plays a pivotal role in driving commercial decision-making for the Silversea brand across global markets.
- This role is responsible for developing and maintaining processes for accurate data collection, modelling, analysis, visualization, and reporting.
- Explain how metrics align with business objectives and identify key impact levers for decision-making.
- Break down complex problems into clear hypotheses and select appropriate analytical methods.
- Conduct scenario analysis to quantify ranges, highlight drivers, and recommend next steps.
- Recommend metric refinements and validate denominators, time windows, and filters to ensure accuracy.
- Propose roadmap initiatives based on insights and evolving partner needs.
- Build reusable SQL queries and data views, addressing edge cases and late-arriving data.
- Apply statistical and machine learning methods (e.g., regression, classification, clustering, causal inference) and validate assumptions.
- Design role-based dashboards with parameters, drill-downs, and alerts to enhance usability.
- Implement robust data validation checks, back-tests, and regression checks to ensure quality.
- Translate analysis into clear business implications and propose actionable, testable recommendations.
- Manage scope and expectations effectively, negotiating trade-offs when necessary.
- Collaborate with operations and engineering teams to resolve data issues and ensure smooth delivery.
- Tailor communication to diverse audiences, anticipating objections and aligning stakeholders.
- Mentor junior analysts by modeling best practices and providing constructive feedback.
- Prioritize high-impact tasks and defer low-value work to maximize efficiency.
- Create documentation such as read-me files, data dictionaries, and run-books for transparency.
- Lead enablement sessions and iterate based on feedback to drive adoption of analytics solutions.
- Foster a data-driven culture by introducing lightweight rituals (e.g., show-and-tell sessions, tips & tricks).
Requirements
- Bachelor’s degree in Analytics, Mathematics, Statistics, Business, Finance, or a related field
- Minimum 3 years of experience in commercial planning, budgeting, forecasting, and financial modeling in fast-paced environments
- Proven ability to deliver results with consistency, precision, and timeliness
- Strong experience designing, building, and reviewing financial models for strategic initiatives
- Ability to quickly learn and adapt to new challenges and business needs
- Experience working in international, matrix-structured organizations is a plus
- Deep understanding of financial KPIs and business performance metrics
- Advanced proficiency in Microsoft Office applications and SQL Server
- Excellent communication and stakeholder engagement skills
- Ability to influence across all levels of the organization
- Highly motivated, results-driven team player with a proactive, positive attitude
- Comfortable working in a dynamic, fast-paced environment and embracing challenges.
Benefits
- Competitive compensation
- Benefits package
- Excellent career development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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