Tableau Jobs in Belfast.
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Sales Analyst
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Join TRG Screen: Building World-Class Teams. One Expert at a Time.
Are you ready to be part of a dynamic team at the forefront of subscription spend management innovation?
At TRG Screen, we're not just redefining how organizations manage their subscription expenses – we're shaping the future of the industry. With cutting-edge solutions and a commitment to excellence, we empower businesses around the globe to optimize their subscription investments and drive sustainable growth.
Join us in our mission to revolutionize subscription management and make a meaningful impact on the way businesses access and utilize critical information. At TRG Screen, your talent and ambition will find a home, where opportunities for growth and advancement abound.
About TRG Screen
TRG Screen is the leading provider of market data and subscription management technology and automation solutions, tailored to the unique needs of financial institutions and legal firms. Our integrated suite of solutions includes market data and subscription spend management, usage management, compliance reporting, and comprehensive managed services, which hundreds of clients worldwide use to remove cumbersome and inaccurate manual processes and gain control over market data and subscription costs at scale. For more than 25 years, TRG Screen has enabled businesses who rely on market data to monitor and strategically manage spending and usage of data and information services, including market data, research, software licenses, consulting and other necessary corporate expenses. TRG Screen solutions give decisionmakers full transparency into subscription spend and usage, enabling them to proactively manage subscription costs at scale, conduct more informed vendor negotiations, improve governance, and avoid unnecessary spending on these mission-critical business services. TRG Screen is headquartered in New York City, with offices in Europe and Asia, as well as a 24x7 client support center in Bangalore, India.
TRG Screen is a portfolio company of Vista Equity Partners, one of the world’s largest and most respected private equity firms.
The Role
We are looking for a Sales Analyst to join our growing global team. Sitting at the intersection of data, process, and people, you will play a key role in turning complex revenue data into clear insights, removing operational friction across our go-to-market (GTM) teams, and helping build the systems and cadences that drive predictable, scalable growth. This is a role for someone who thrives in ambiguity, brings structure to complexity, and wants to make a meaningful impact across Sales, Marketing, and Customer Success.
Responsibilities
Cross-Functional Program Management
- Partner across Marketing, Sales, Customer Success, and Product to identify revenue risks, remove operational friction, and implement scalable solutions.
- Support the development and execution of GTM programs, ensuring alignment on messaging, playbooks, and team activities.
- Coordinate and facilitate core operating cadences — including forecasting reviews, global sales calls, and QBRs — maintaining visibility into business performance and surfacing key trends to leadership.
- Champion adoption of new and existing processes, ensuring all customer-facing roles are equipped to operate effectively within the revenue system.
Process Optimisation
- Define, standardise, and continuously improve GTM processes across the full customer lifecycle, from top of funnel through post-sale.
- Drive operational rigour across GTM teams by ensuring consistent adoption of defined processes, playbooks, and enablement programmes.
- Document frameworks and publish learnings to build institutional knowledge and accelerate team performance.
- Organise and maintain revenue-related collateral on behalf of Marketing, Sales, Customer Success, and Product.
Analytics & Insights
- Build and maintain reporting across key revenue metrics including pipeline generation, pipeline health, forecast accuracy, sales productivity, and customer retention.
- Provide analytics and insights on funnel performance, win/loss trends, opportunity progression, and customer health.
- Translate complex data into clear, actionable recommendations that enable senior leadership to make informed, timely decisions.
- Implement and maintain data hygiene practices to ensure accuracy and reliability across all revenue data.
Skills and Qualifications
- Bachelor's degree in Business, Analytics or similar
- 3–5 years of experience in revenue operations, business intelligence, or a similar role within a B2B SaaS environment.
- Advanced proficiency in data visualisation tools such as Looker Studio, Tableau, or Power BI.
- Strong hands-on experience with Salesforce (required) and HubSpot (preferred), including configuration to support evolving workflows and reporting needs.
- Familiarity with revenue operations tools such as Gong, Sales Intel, or LinkedIn Sales Navigator.
- Experience with revenue attribution platforms (e.g. RevSure, Calibermind) is a plus.
- Passionate about leveraging AI to uncover deeper insights and work more efficiently.
- Proven ability to translate complex data into actionable insights and communicate them clearly to senior stakeholders.
- Strong cross-functional collaborator with the ability to manage multiple initiatives simultaneously and build relationships across teams.
- Comfortable operating in unstructured environments; you bring order to chaos, not the other way around.
Join TRG Screen and unlock your potential in an environment where innovation thrives, opportunities abound, and your contributions make a difference. We are an equal opportunities employer. We recognise and value the power of diversity in our workplace and are committed to being an employer of choice for everyone. We welcome and encourage applicants from all backgrounds. All applications for employment are considered strictly on the basis of merit.
At TRG Screen, we understand that diverse and inclusive teams are not just beneficial, they are essential to our success. We recognize that embracing diverse perspectives, backgrounds, and experiences fosters innovation, enhances problem-solving capabilities, and drives better business outcomes. By cultivating a culture of inclusion where every voice is heard and valued, we empower our world class teams to thrive, excel, and drive positive change.
We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.
Ready to apply?
Apply to TRG Screen
Data Scientist/Engineer
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Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.
The Data Science group serves under the Black Duck Data Engineering organization as a center of excellence in data analysis, statistical interpretation, machine learning engineering, attribution analysis and operational metric review.
Our core purview is the application of historical data to drive future decision making, and to develop and maintain machine learning and analytical tools to improve service delivery and advise operational processes.
We also serve as mediators of meaning across Black Duck, and as custodians of a shared data ecosystem.
This ecosystem serves to empower data consumers to explore client-operational and service-ops data in more intuitive ways, and supports their ability to share and collaborate on best practices for using this data in truthful, responsible, ethical and efficient ways.
Our Values
- Trust: Our work has no value if it is not trusted by our colleagues/customers, or if our work is not respectable. We will always rather be late than incorrect.
- Collaboration: We have a “very specific set of skills”, however we should humbly respect the subject matter experts we work with in their fields of expertise; we’re experts shuffling bits around faster/better/smarter, but they do the real work.
- Results: For our work to have value, it must speed up, augment, or replace, a current decision making process, or to demonstrate a new product/operational opportunity. While the “value” of a result may not be known for a long time, we are still outcome-driven.
- Curiosity: Exploration and Experimentation is at the heart of what we do, and we empower each other with the freedom to explore, and possibly get lost in, longer term research projects than other groups. However, even those dead ends have value when they’re written up. (It’s not science unless you write it down)
- Fun: We’re in this business because we enjoy the strange and often incongruous world of data, and what that data can tell us about ourselves. Revel in the comedy of your mistakes and discoveries, and share them with abandon.
About the Role
As a Data Engineer/Scientist, you will be a custodian of our cross-functional data regime, and a driver of innovative uses of Data across our cybersecurity platforms, ranging from predictive analytics and customer behavioural analysis, through to training customised machine learning
models on continuously evolving feedback streams from data and decisions that really matter to our thousands of customers that rely on our security assessments for safety, stability, and often, sleep.
The ideal candidate is a self-starter who is enthusiastic about exploring new technologies. They also enjoy helping their peers and their organization remain at the forefront of our industry by identifying and helping implement the latest industry best-practices that boost our organization’s productivity and team members’ experience.
The role is primarily based around our Belfast R&D Site, but UK/EMEA remote or hybrid applicants will be considered. At least Quarterly travel to the Belfast R&D Site is expected, and additional travel / conference opportunities may be available depending on your impact and collaboration.
Key Responsibilities:
- Developing and maintaining analytical data pipelines from a range of sources, internal and external
- Participate in system design discussions and contribute to architectural decisions.
- Evaluating new analytical / technological opportunities for leveraging those data for security/business impact
- Leading projects from research through to production deployment and operational handover to appropriate teams
- Partnering with R&D and Engineering teams to develop and share best practices for data tooling, from pipelines and dashboards to ML and LLM integration
Key Qualifications:
- 5+ years of experience working in Data Science, AI/Data Engineering, Data Operations, DevOps, Business Analytics, or a related field
- BSc Or MSc in Computer Science, Data Science, Artificial Intelligence, Math, Physics, Engineering or related field/degree
- Experience in a relevant analytical programming language the point where you can build / deliver a project/module from scratch that can be used by others (Python is our main daily-driver, expert-level experience in Julia or Rlang could be accepted
- Experience in Jupyter Notebook / equivalents
- Experience in Airflow, DBT, Databricks, or equivalent stacks
- Experience in the PyData / Spark or equivalent analytical stacks
- Familiarity with Cybersecurity Governance, Application Security Testing, Quality Assurance or similar
- Experience in data modelling and working with RDBMS (PostgreSQL, Oracle or MySQL) and knowledge of NoSQL databases (e.g. MongoDB)
- Experience with Machine Learning and AI systems
- Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar)
- Independent project operation and cross-functional collaboration
- Strong or Developing communication skills (in-person and remote)
Nice to have:
- Familiarity with Data Mesh/Data Product concepts
- Experience in operating in Linux Command line environments
- Experience in Langchain or equivalent Agentic development stack
- Experience in training custom Machine Learning models, including familiarity with evaluation criteria and metric design
- Experience in integrating AI capabilities into software systems, including prompt engineering, API integration, and leveraging LLM-based services for automation and productivity
- Experience in Enterprise Data Visualisation such as Power BI, Tableau, Grafana, DataBricks, Snowflake etc.
- Experience deploying ML/AI models in production environments/workloads
- Experience in developing/working within large enterprise applications using microservices architecture, and container orchestration technologies, running on Kubernetes and/or cloud technologies (AWS, Azure or GCP)
- Experience in software architecture, systems design, interaction design (to the point where you can have constructive conversations with security / architecture leaders)
Black Duck considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. In addition, Black Duck complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Black Duck also provides reasonable accommodation to individuals with a disability in accordance with applicable laws.
Ready to apply?
Apply to Black Duck Software, Inc.