Business Analytics Specialist II

At Anaplan, we are looking for a Business Analyst to join our Reporting & Insights team withinthe GPTO organisation. This role sits in the same team as our Business Intelligence engineeringroles, but is focused more heavily on business analysis, KPI interpretation, stakeholderpartnership, and turning ambiguous leadership questions into clear, actionable insight.

The Reporting & Insights team partners with leaders across Engineering, Product, and ProgramManagement to explain how we deliver value to customers. We own the reporting estate,semantic definitions, and value stream metrics used by senior GPTO leaders to understanddelivery, quality, dependency health, investment mix, adoption, and engineering effectivenessacross the organisation.

Engineering and product leaders are asking increasingly complex questions about deliveryperformance, investment choices, dependency health, AI adoption, and value streamoutcomes. The team needs a Business Analyst who can connect KPI definitions, business context, andstakeholder decisions rather than only producing dashboards or data extracts.

Our reporting estate includes around 190 KPIs across delivery, quality, dependency,investment, and adoption, and we need stronger analytical ownership of what those metricsmean, how they are used, and where they create real decision value.

The AI-augmented software development lifecycle is changing how we measure engineeringeffectiveness, and this role will help define the analytical framing for those new measures.

• →The analytical relationship with senior stakeholders across Engineering, Product, and ProgramManagement for selected GPTO reporting subject areas.
• →Translation of ambiguous leadership questions into clear analytical briefs, hypotheses, metricdefinitions, and decision-ready insight.
• →KPI interpretation across delivery, quality, dependency, investment, adoption, DORA, andvalue stream reporting.
• →Recurring business reviews, executive scorecards, and leadership narratives that explain whatis changing, why it matters, and what actions are available.
• →Prioritisation of new reporting and analytics requests, including deciding what should becomerecurring reporting estate versus one-off analysis.
• →Close partnership with BI engineers and analysts to ensure dashboards, semantic layers, anddata models reflect the real business questions being asked.
• →Definition and measurement of AI adoption and enterprise AI effectiveness, includingadoption metrics, usage trends, baselines, pilot coverage, and the business value created byAI-enabled ways of working.
• →Use of Engineering Metrics Service (EMS) and related engineering productivity data as asource for leadership-facing reporting, scorecards, and decision support.

• Define and maintain dashboard standards across the reporting estate, including namingconventions, ownership, audience, purpose, refresh cadence, and certification status.
• Establish clear version control and change management practices for Power BI dashboardsand related reporting assets, ensuring stakeholders understand what has changed, why, and when.
• Partner with BI engineers, data owners, and business stakeholders to manage access,permissions, and appropriate use of dashboards, including sensitive or leadership-onlyreporting.
• Create reusable templates, design patterns, and documentation so dashboards areconsistent, trusted, easy to navigate, and aligned to agreed KPI definitions.
• Review dashboard usage and stakeholder feedback to identify duplication, retire outdatedreports, and continuously improve the quality and relevance of the reporting estate.
• Partner with senior GPTO leaders to turn complex operational questions into evidence-basedrecommendations.
• Develop and maintain analytical narratives around engineering delivery, DORA performance,dependency health, investment mix, and AI adoption.
• Define how KPIs should be interpreted, documented, governed, and communicated acrossthe reporting estate.
• Support executive reporting by explaining trends, trade-offs, limitations, and confidence levelsin the data.
• Identify gaps in current metrics and work with BI engineers to improve semantic definitions,join paths, and reporting usability.
• Help the team distinguish useful signals from noise across Atlassian, GitHub, CI/CD, and otherengineering toolchain data.

• Strong experience in business analysis, business analytics, product analytics, operationsanalytics, or a comparable analytical role in a technology organisation.
• Proven ability to work with senior stakeholders and translate broad business questions intospecific, defensible analytical outputs.
• Excellent KPI literacy, including the ability to define, challenge, interpret, and explain metricsin a way that supports decision-making.
• Comfort working with engineering, product, delivery, or value stream data, including deliveryperformance, quality, dependencies, adoption, or investment allocation.
• Hands-on capability with BI tools such as Tableau, Power BI, eazyBI, Looker, or comparableplatforms.
• Working SQL knowledge and the ability to partner effectively with BI engineers and dataspecialists on data quality, definitions, and modelling questions.
• Clear written and verbal communication, especially when explaining analytical trade-offs,caveats, and recommendations to leadership audiences.
• Strong judgement in ambiguous environments, including knowing when the available data cansupport a conclusion and when it cannot.
• Ability to define and interpret AI adoption, enterprise AI effectiveness, and engineeringproductivity metrics, including working with EMS or comparable engineering metricsplatforms.

• Familiarity with Atlassian data and workflows across Jira, Confluence, Jira Align, or JSM.
• Experience with DORA metrics, value stream measurement, DevOps analytics, or engineeringeffectiveness reporting.
• Experience in a SaaS, enterprise software, platform engineering, or product and technologyorganisation.
• Python, advanced SQL, or statistical analysis experience for deeper analytical investigations.
• Experience shaping executive scorecards, quarterly business reviews, or operating rhythmreporting.

• A pure dashboard builder. Dashboards matter, but the value of this role is in businessinterpretation and decision support.
• A data engineering owner. This role will partner closely with BI engineers but is not primarilyresponsible for owning pipelines or warehouse architecture.
• A customer-facing analytics product manager. The focus is internal GPTO reporting, insight,and operating rhythm support.

Our Reporting & Insights team sits inside Engineering Enablement and partners with leadersacross Engineering, Product, and Program Management to report on how we deliver value tocustomers. We work across the Atlassian stack, GitHub, CI/CD pipeline data, and enterprise BItooling to help leaders understand performance, quality, investment, dependencies, andadoption. You will work alongside experienced BI engineers and analysts, bringing the businessanalysis lens that ensures our reporting estate answers the right questions and supports betterdecisions.

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not:  

• Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   
• Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  

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