Senior Business Intelligence Specialist

NetDocuments•Lehi, UT

1d•Hybrid

About The Position

NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters. NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team. At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, & 2024 list of Inc. Magazine’s 5000 Fastest-Growing Private Companies in America. Other recent awards include: Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being Three-time winner (2024, 2023) Top Workplace Work-Life Flexibility Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits Two-time winner (2024, 2023) National Top Workplaces Two-time winner (2024, 2023) Top Workplace Innovation 2025 Remote Work 2024 Technology Industry NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day! About the role We are hiring a Senior BI Analyst to serve as the dedicated analytics partner to our Technology organization. This role sits on the central BI team alongside analysts supporting other business functions and a small team of BI developers who own our modern data platform. You will be the primary analytics point of contact for the CTO org and the Finance partners supporting it, with a particular focus on engineering efficiency, capacity, delivery metrics, and public cloud spend. This role is uniquely important right now. As a SaaS company in the late stages of migrating from private cloud to public cloud, public cloud economics — unit costs, usage drivers, commit strategies, and efficiency metrics — will be a core part of this role. Prior depth here is a plus but not required; we expect the right analyst to build that expertise quickly by partnering closely with our Finance and FinOps teams, and to translate what they learn into insights the CTO, engineering leaders, Finance, and FinOps can actually act on. You will also inherit a set of existing tech ops and efficiency reports (sprint planning, team capacity, delivery throughput, etc.) that today live outside our standard architecture. A core part of your charter is partnering with our BI developers to modernize these reports and bring them onto our tech stack — with proper models, governance, and documentation.

Requirements

5+ years of hands-on BI/analytics experience, with a track record of supporting senior stakeholders
Comfortable reading SQL and working with curated data layers delivered by the BI developer team
Strong experience with Power BI (DAX, semantic modeling, performance tuning) or a comparable enterprise BI tool with a clear path to ramp up on Power BI
Working knowledge of modern cloud data stacks — Snowflake (or close equivalents)
Solid grasp of dimensional modeling concepts and how to collaborate with data engineers to get the models you need
Any exposure to public cloud spend analysis (AWS, Azure, and/or GCP) — billing data, tagging, usage, cost allocation — is a plus, but not required; we expect the right candidate to ramp up in this area by partnering closely with our Finance and FinOps teams
Interest in FinOps concepts (unit economics, showback/chargeback, commit and reservation strategy, rightsizing, anomaly detection) and a willingness to learn them on the job
Curiosity about SaaS infrastructure economics and how engineering decisions translate into cost and efficiency
Experience working on or alongside a cloud migration (private-to-public, data center exit, or similar) is a bonus
Comfortable partnering with engineering leaders, EMs, and program managers — you understand how software teams actually work
Familiarity with engineering efficiency and delivery metrics (sprint/velocity, throughput, capacity, cycle time, DORA-style metrics, etc.)
Experience working with Finance/FP&A partners on cost, headcount, and capacity analyses
Strong instincts around data quality, reconciliation, and “is this number actually right?”
Comfortable with Git-based workflows and a structured dev → prod promotion path for BI assets
Clear communicator — written and verbal — with a track record of telling a story with data for executive audiences
Demonstrated ability to use AI tools (Copilot, Claude, Cursor, etc.) to accelerate SQL, DAX, documentation, and analysis work
Strong judgment to validate AI-generated output rather than trust it blindly
Interest in applying AI/agents to BI workflows — metric QA, narrative generation, anomaly explanation, etc.

Nice To Haves

Familiarity with dimensional modeling best practices (star schemas, conformed dimensions, slowly changing dimensions Type 2, etc.) — enough to partner effectively with BI developers on model design
Exposure to Jira, Azure DevOps, GitHub, or similar as data sources for engineering metrics
Prior experience at a SaaS company, ideally PE-backed or growth-stage

Responsibilities

Be the Analytics Partner to the Tech Org
Serve as the dedicated BI analyst for the CTO organization and the Finance team supporting Tech
Build strong working relationships with engineering leaders, product/program managers, FinOps, and Finance partners
Translate ambiguous business questions into clear analyses, metrics, and self-service reporting
Drive the roadmap for Tech org analytics in partnership with stakeholders and the Director of BI
Own Public Cloud Spend & Efficiency Analytics
Partner with FinOps to build a unified view of public cloud spend — by service, environment, team, product, and workload
Develop and maintain unit economics and efficiency metrics (e.g., cost per tenant, cost per transaction, cost per environment, utilization, commit coverage, waste)
Track migration progress from private to public cloud and surface cost, performance, and efficiency implications for leadership
Help leadership connect cloud spend to engineering activity, product usage, and business outcomes — not just a bill
Identify optimization opportunities and partner with FinOps and engineering teams to quantify, prioritize, and track them
Modernize Tech Ops & Engineering Efficiency Reporting
Take ownership of the existing tech ops / engineering efficiency reports (sprint planning metrics, team capacity, delivery throughput, and related analyses) currently built outside our standard architecture
Partner with the BI developer team to migrate these reports onto Snowflake + Power BI, with documented definitions and proper governance
Define and standardize engineering metrics (velocity, throughput, capacity, quality, cycle time, etc.) so the organization has a single source of truth
Retire legacy spreadsheets and one-off reports in favor of trusted, scalable assets
Deliver High-Quality Analysis & Reporting
Build and maintain Power BI dashboards, semantic models, and ad-hoc analyses that answer real questions for Tech and Finance stakeholders
Contribute requirements back to the BI developer team to shape the underlying data models, and help validate them before they land in production
Communicate findings clearly — with context, caveats, and recommendations — to both technical and executive audiences
Collaborate Across the BI Team and the Business
Work side-by-side with other BI analysts supporting different functions to share patterns, reuse assets, and ensure metric consistency across the company
Partner with BI developers to move from “report-by-report” delivery to scalable, well-modeled data products
Act as a trusted, embedded analyst within the Tech org while representing central BI standards
Documentation & Enablement
Document metric definitions, data sources, and assumptions so stakeholders can self-serve with confidence
Enable CTO-org leaders and Finance partners to get to answers faster through well-designed Power BI experiences and clear training
Other duties as assigned