Senior Data Analyst

Description:

We are seeking an analytically strong and business-savvy Senior Data Analyst to drive insight generation and decision support for our Sales and Finance stakeholders. In this role, you will partner closely with the Data Product Manager and, when needed, act as a proxy product manager, helping shape user stories, prioritize the backlog, and lead stakeholder demos. You will translate business questions into robust, trusted analytics by owning the end‑to‑end lifecycle: scoping → sourcing → modeling → visualization → storytelling → adoption. The outcome is measurable business value, faster decisions, and improved performance across revenue, margin, pipeline, bookings, and cost.

RESPONSIBILITIES:

• Collaborate with cross-functional teams to gather and translate business requirements into actionable data product features.
• Champion data quality and reliability: institute DQ checks, validation rules, reconciliation processes, and monitor usage/performance and proactively address data issues.
• Lead end-to-end analytics delivery for Sales & Finance initiatives—from data profiling and sourcing (e.g., ERP, CRM, pricing systems) to semantic modeling, report development, and UAT.
• Continuously improve product features based on user feedback and performance metrics.
• Advance self‑service analytics by curating governed data sets, templates, and how‑to guides; coach power users to scale insights responsible.
• Advocate for user needs and ensure customer satisfaction.
• Collaborate with architecture and solution delivery teams to ensure product designs meet business requirements.

WORK ENVIRONMENT:

• Location: Denver, CO.
• Standard office environment.

QUALIFICATIONS:

• Demonstrated ability to translate business questions into analysis plans and communicate findings with clear data storytelling that drives action.
• Experience working in agile teams (scrum/kanban), partnering with product managers, engineers, and business leaders.
• Governance mindset: comfort with data policies (definitions, quality, lineage, access), PII handling, and documentation.