Top Data & Analytics Jobs

Supports 4–8 client accounts by analyzing Digital Experience data, using backend traces to identify root causes, and connecting technical performance to business outcomes. The role manages complex engagements, promotes new use cases, presents findings, supports proofs of concept, mentors analysts, and prepares customer and executive deliverables. Strong English and French communication, quantitative analysis, consultative client engagement, and prioritization skills are required.

Analyzes renewal opportunities and account histories, gathers pricing, product, partner, and contract data, and prepares system-derived renewal proposals. Uses Salesforce and Excel to validate information, review documents, test system enhancements, and coordinate with cross-functional teams. Manages assigned regional tasks, organizes findings, and ensures accurate, timely completion in a deadline-driven environment.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Designs and optimizes scalable data ingestion pipelines for product telemetry and enterprise business data. Builds automated pipelines using Fivetran, Python, APIs, S3 lakehouse architectures, Kafka, Spark, and Snowflake. Applies advanced SQL, incremental loading, CDC, micro-batching, and rate-limit handling to support reliable, analytics-ready datasets. Implements CI/CD and DevOps practices, monitors pipeline performance, and partners with analysts and platform teams to rapidly deliver data solutions.

Analyze Dynatrace Digital Experience data for major clients, translating complex performance and user-engagement data into actionable business insights. Manage relationships with 8+ accounts, lead customer meetings, produce reports and dashboards, configure Dynatrace offerings, conduct ad hoc analyses, provide training, and represent client needs internally. The role also supports process improvements and requires fluent English and Japanese communication for the Japan market.