BI Product Owner – Reporting & Analytics
BI Product Owner – Reporting & Analytics (Sigma)
Department: Product Management
Reports To: VP of Product and Strategy - Platform
Location: Austin, TX (Hybrid)
Overview
At Togetherwork, we set a high bar for clarity, collaboration, and execution. While our Product & Strategy leaders own portfolio outcomes, our individual contributors are equally essential—bringing curiosity, precision, and a commitment to excellence to every initiative. We work in deep partnership with Engineering, Revenue, CX, Operations, and Support, sharing accountability for delivering stable, modern, insight-driven products that help our customers thrive.
We expect ICs to bring strong analytical thinking, operational rigor, and a willingness to roll up their sleeves to solve complex problems. Hard work is the norm—not for recognition, but for the greater good of our customers and the long-term health of our company. We embrace innovation, including responsible AI usage, to deepen insight, improve execution, and accelerate impact.
This role reflects those expectations: collaborative, data-informed, customer-centered, delivery-oriented, and grounded in professionalism and positive intent.
Role Summary
The Business Intelligence Analyst – Reporting & Analytics is a hands-on BI role responsible for defining, building, and delivering Togetherwork’s reporting experience in Sigma. This role owns the full reporting lifecycle—from auditing and consolidating the existing report landscape, to defining use cases and requirements, to directly building report layouts and queries in Sigma alongside Design, Database, and App Dev teams.
This is not a strategy or architecture role. The ideal candidate is a builder first: someone who can write queries, drive Sigma report implementation with confidence, and translate design specs into shipped reporting experiences. They work directly with Database and App Dev teams to ensure the right data structures are in place, then own the Sigma layer from query to customer-facing report. AI fluency is central—used to accelerate audits, generate and refine queries, and drive rapid iteration in Sigma.
Key Responsibilities
Requirements Definition
- Define functional and non-functional reporting requirements, including data freshness expectations, performance thresholds, and role-based access needs.
- Document use cases, user roles, and report-level requirements to guide prioritization and delivery.
- Translate stakeholder and customer needs into clear, implementation-ready specifications for Sigma.
AI-Assisted Audit & Consolidation
- Use AI tools to audit existing reports across the portfolio, establishing a structured baseline of current coverage, gaps, and redundancies.
- Leverage AI to summarize and consolidate reporting requirements into a rationalized set that Sigma can efficiently implement.
- Identify consolidation opportunities and eliminate reporting sprawl before new build begins.
Report Layout & Query Building
- Drive report build directly in the Sigma editor, translating visual specs and use case requirements into fully configured, customer-facing reports.
- Write and refine queries to power Sigma reports, working within the data structures provided by the Database and App Dev teams.
- Use AI to accelerate query writing, validate logic, and rapidly iterate on report implementations.
- Ensure reports are accurate, performant, and consistent across the Sigma reporting layer.
Role-Based Reporting & Access Controls
- Define user roles and reporting personas to establish a clear, access-appropriate reporting framework.
- Implement role-based reporting constraints in Sigma, ensuring each user persona sees only the data they are authorized to access.
- Validate role configurations against defined use cases prior to launch.
Design Collaboration
- Partner with Design to develop visual specifications for reports, grounded in Sigma’s capabilities and host product design standards.
- Build reports that faithfully reflect design specs—including layout, formatting, and interactivity.
- Surface Sigma rendering constraints or data gaps early so design specs can be adjusted before build begins.
Database & App Dev Partnership
- Work closely with Database and App Dev teams to communicate reporting requirements, including data structure needs, freshness expectations, and performance constraints.
- Ensure the underlying data exposed to Sigma supports the report use cases and user roles defined during requirements.
- Serve as the primary point of accountability for the Sigma layer—owning report build and query logic while partnering with Database and App Dev on what sits beneath it.
Backlog Ownership & Delivery
- Own and maintain a prioritized reporting backlog aligned to roadmap outcomes and customer value.
- Ensure sprint readiness through story refinement, clear acceptance criteria, and dependency mapping.
- Track delivery progress and proactively surface blockers, risks, or scope changes to stakeholders.
Qualifications
Required Qualifications
- 3–5+ years of experience in a BI Analyst, Reporting Analyst, or analytics-focused role with hands-on delivery experience.
- Hands-on experience building reports and dashboards in Sigma Computing or a comparable embedded BI platform (e.g., Looker, Tableau, Mode).
- Demonstrated ability to write and refine SQL queries to support reporting and analytics use cases.
- Experience defining functional and non-functional requirements for reporting products, including data freshness and access control needs.
- Proven ability to audit, consolidate, and rationalize a complex reporting landscape.
- Experience implementing role-based access and user-level reporting constraints within a BI tool.
- Strong design collaboration skills—able to work from visual specs and build reports that match intent.
- Comfortable working cross-functionally with Database and App Dev teams to align on data structures and delivery dependencies.
- Hands-on experience using AI tools to accelerate query writing, report auditing, or Sigma iteration.
Bonus Points
- Direct experience with Sigma Computing, including dataset configuration, workbook management, and Sigma-native query patterns.
- Background in SaaS, platform, or B2B products with embedded analytics.
- Experience working alongside app development teams in an Agile delivery environment.
Interview Integrity & Use of AI
We value authenticity, expertise, and real-time problem solving during our interview process. Candidates are expected to represent their own knowledge, experience, and thinking without the use of AI-assisted tools.
The use of any AI tools during interviews — including but not limited to real-time scripting, recording, transcription, response generation, or coaching tools — is strictly prohibited. This applies to phone, video, in-person, and technical or case-based interviews.
We are seeking individuals who can clearly articulate their thinking, engage in thoughtful discussion, and answer questions independently. While we strongly value candidates who understand how to use AI tools effectively and responsibly, interviews must reflect the candidate’s own abilities and perspectives.
Any candidate found to be using AI-assisted tools during the interview process will be immediately disqualified from consideration.
Why This Role Matters
Reporting is one of the most visible and high-impact surfaces in our products. This role ensures customers get the data insights they need—delivered clearly, accurately, and in a modern Sigma-powered experience. By owning both the requirements and the hands-on Sigma build, this analyst eliminates the gap between requirement and delivery, accelerating the quality and pace of reporting outcomes across the Togetherwork portfolio.
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