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Lead Data Analyst
LinkedIn Recruiter Post
RBC seeks a Lead Data Analyst to drive enterprise data platform initiatives, acting as a technical lead for data flow, AI/ML, and analytics.
GM
Statistician/Data Analyst – Data Insights and Decision Support
Posted last month
About the role
- Statistician/Data Analyst using data insights to support business decisions across Quality, Software, and Engineering. Requires strong analytical skills and cross-functional collaboration.
Responsibilities
- Partner with business stakeholders to clarify questions, frame problems, and define success metrics.
- Translate ambiguous business issues into structured analytical questions and practical approaches.
- Use BI tools (e.g., Power BI, Tableau) and statistical methods (e.g., hypothesis framing, sampling, segmentation, variability) to explore data and identify trends, patterns, and anomalies.
- Develop and interpret descriptive and diagnostic analyses (e.g., trends over time, segmentation, cohort analysis, root cause analysis).
- Connect analytical findings to business context and clearly explain “what this means” and “what to do next.”
- Synthesize analyses into clear narratives and executive-ready communications tailored to non-technical audiences.
- Communicate trade-offs, limitations, and assumptions in a way that supports sound decision-making.
- Facilitate discussions around insights, align actions, and track follow-up results.
- Identify opportunities to improve data quality, metric definitions, and reporting consistency in partnership with IT/data engineering.
- Document analytic approaches, business logic, and metric definitions for reuse and transparency.
- You build predictive models and machine-learning algorithms.
- You analyze large amounts of information to discover trends and patterns.
- Undertake preprocessing of structured and unstructured data.
- Monitor and sustain model effectiveness.
- Combine models through ensemble modeling.
- Present complex information using data visualization techniques.
- Propose solutions and strategies to business challenges that drive business impact.
Requirements
- 7+ years of experience
- BA or BS in relevant field or equivalent real-world experience
- Solid understanding of statistical concepts applied to business decisions (e.g., distributions, sampling, variability, correlation vs. causation, and practical significance).
- Demonstrated ability to interpret data and explain insights to non-technical audiences.
- Strong written and verbal communication skills, with experience creating clear, concise presentations for stakeholders.
- Experience in a business-facing analytics role supporting operations, product, quality, or customer experience.
- Experience working with large or complex datasets and collaborating with data engineers/IT for data access and structure (without needing to own pipelines).
- Proven cloud experience and familiarity with at least one cloud platform (Azure preferred).
Benefits
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
- GM Vehicle Purchase Plan for you, your family, and friends.
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