Top Data & Analytics Jobs in CO

Serve as a strategic analytics advisor to clients, designing and auditing Adobe Analytics and Customer Journey Analytics implementations. Lead measurement workshops, requirements gathering, documentation, report suite and CJA configuration, identity resolution, dashboard development, and data storytelling. Translate ambiguous business needs into actionable analytics strategies, present findings to executives, deliver training, and guide technical and non-technical stakeholders. Promote information security and data privacy practices, including GDPR and CCPA compliance.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.

Perform deep-dive call and KPI analysis using AI tools, identify root causes and systemic issues, develop agent tools and training, serve as wireless technical SME (LTE/4G/5G), partner cross-functionally to improve self-serve and routing, and pull/analyze data from Tableau, Snowflake, and Databricks to drive process optimizations and AI automation.

Lead design and ownership of analytical frameworks and cross-functional reporting for finance and operations. Translate leadership goals into structured analytics projects, standardize metrics and reporting, build business cases, deliver executive-level narratives, and develop predictive models and dashboards to inform strategic decisions across insurance operations.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.