Top Data Analyst Jobs in Denver & Boulder, CO

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Drive data-driven decision making for the Trading team by analyzing large datasets, building dashboards and data products, developing governed analytics (Looker/LookML), and presenting insights to stakeholders. Mentor junior analysts, implement reporting structures, and collaborate cross-functionally to propose data-driven solutions for the next-generation trading platform.

As a Data Analyst, you'll ensure data integrity, model financial impacts, and automate processes while delivering insights to improve efficiency and customer experience.

As a Data Analyst, analyze data using SQL, Python, and Tableau to provide insights, support project management, and enhance customer experiences.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

The Data Analyst II analyzes data using SQL, Python, and R to provide actionable insights, improve processes, and support decision-making across teams. Responsibilities include developing forecasts, liaising with stakeholders, and presenting findings to executives.

As a Data Analyst II, you will enhance marketing strategies by auditing current data processes, creating dashboard reports, and conducting A/B tests with statistical validation to drive customer engagement and growth.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Manage and analyze healthcare and customer data across systems; validate and reconcile claims, enrollment, and roster files; build dashboards and customer-facing reports; support data movement (Salesforce, Healthie), identify automation opportunities, and partner with cross-functional teams to document workflows and drive analytics.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

Support internal audit by extracting, compiling, and analyzing data for KPIs and KRIs; create data flow diagrams, write extraction scripts, collaborate with IT and audit teams, and shift analytics from reactive to proactive to improve audit efficiency and effectiveness.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build and maintain marketing dashboards and reporting frameworks, analyze multi-source marketing data to identify trends and opportunities, develop measurement and attribution approaches, ensure data quality and metric alignment, and deliver actionable insights and ad hoc deep-dive analyses to inform campaign optimization and marketing investment decisions.

Drive customer experience improvements by analyzing support operations, surveys, transcripts, and Voice of Customer metrics (NPS, CSAT). Integrate feedback with transactional and behavioral data, perform root-cause and statistical analyses, build reports and visualizations, partner with cross-functional teams to recommend and measure improvements, and apply AI/ML and data storytelling to communicate insights.

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The HR Data Analyst will develop Workday reports, perform audits, improve data quality, and support HR operations and reporting needs.

The N-PORT Data Analyst prepares and reviews SEC Form N-PORT filings, performs data validation, analysis and reconciliation, ensures regulatory compliance, and coordinates with multiple departments to resolve reporting issues.