Product Operations Specialist / Analyst
Diligent
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
Position Overview
We are seeking an outcomes-focused Product Operations Analyst to join our new Product Operations team and elevate our product decision-making through sound data analysis and clear insight communication. This role bridges Product Management and data, ensuring we define the right metrics, instrument events correctly, and translate findings into actionable insights. You will work with analytics tools (e.g., Amplitude, Mixpanel, Pendo), raw data exports, and BI platforms to provide clear, reliable information that drives product decisions.
You will be involved in the end-to-end analytics operating rhythm across the product lifecycle in your designated Business Unit: helping shape tracking plans and taxonomies, ensuring data quality and availability, building reliable reporting, and synthesizing qualitative and quantitative signals into recommendations to improve our products. You will understand the basics of data flow, schemas, and event design well enough to collaborate effectively and troubleshoot issues with our data engineering and business analytics teams. You will partner closely with product management to understand their reporting needs, the gaps and help them make better informed decisions. You will also champion practical use of AI to accelerate analysis and improve operational efficiency wherever possible.
Key Responsibilities
Product Analytics & Metrics
- Co-define metrics that matter and input metrics with Product
- Maintain your BU’s slice of the tracking plan (events/properties/IDs) and propose improvements
- Manage tracking plans and event taxonomies; ensuring accurate and consistent definitions and instrumentation
- Use analytics and data viz tools (Pendo, Amplitude, Tableau) to build dashboards, cohorts, funnels, and retention analyses for product consumption
Data Fluency & BI
- Query and analyse raw event data using SQL, as needed. Join multiple sources to generate insights.
- Assist in creating and maintaining dashboards, reports, and performance metrics that help Product leaders understand how the business and products are performing
- Collaborate with our Business Analysis team to create and maintain reliable product scorecards and strategic reporting dashboards in BI tools (e.g., Looker, Tableau)
- Monitor and resolve data quality issues, ensuring clarity and consistency in definitions
- Enforce taxonomy and data quality checks, log changes, version notes, and data caveats, escalating systemic issues
Insights & Communication
- Combine quantitative analytics with qualitative research (eg. Ideas portal, Gong, Salesforce, HighSpot etc) to uncover and recommend product opportunities
- Translate data into plain-English insights and clear recommendations for non-technical audiences
- Support product discovery and roadmap prioritisation with evidence-based analysis, as requested by the product management team
Operational & AI-Enabled Excellence
- Assist the Product Operations Manager and Director of Product Operations run the analytics cadence for strategic reviews and planning cycles, ensuring timely data for ELT/SLT
- Apply AI tools to accelerate analysis, automate reporting, and synthesize qualitative inputs
- Contribute to improving our Product Operating Model, focusing on analytics best practices
Required Experience & Skills:
- 2-5 years of experience in product analytics, data analytics or similar technical roles
- Good SQL skills and comfort working with raw data. Knowledge of any other major programming language (e.g. Python) or API development a plus.
- Hands-on experience with data visualisation tools. Knowledge of product analytics platforms (Pendo, Amplitude, Mixpanel) a plus.
- Understanding of data engineering basics (schemas, identifiers, event design) to work effectively with data engineering teams and advice on the “art of the possible”
- Proven ability to communicate insights clearly to non-technical audiences
- Experience combining qualitative and quantitative data to inform decisions
- Good stakeholder management skills
- Familiarity or excitement about using AI tools to improve productivity and decision-making
- Passion for how sofwared products are built and the role data plays in the development process
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.