SAAS Delivery Implementation Analyst
Role details
Job location
Tech stack
Job description
Here, the answers aren't always available. So, you'll need to bring a fearless, self-starter mindset to navigate uncharted territories. You'll harness your ceaseless energy to discover and make the necessary connections with colleagues to shape the future and achieve maximum impact., AsaImplementationAnalystyou will support SaaS delivery implementation projects acrossEvinova'sSaaS Solution portfolio. In this role, you will serve as a critical liaison between technical teams and business stakeholders-ensuring requirements are clear, processes are well-documented, and solutions are delivered effectively.
You will thrive in this role if you enjoy fast-paced environments, emerging technologies, and working hands-on to remove obstacles and keep projects on track. Your ability to analyze data, systems, and workflows will directly shape project outcomes and help drive operational excellence for our customers.
What You'll Do
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Partner with business stakeholders and technical teamsfor multiple customersto gather, document, andvalidatebusiness and functional requirements.
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Translate complex workflows and system interactions into clear process documentation, user stories, and acceptance criteria.
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Support SaaS delivery project planning, execution, andmonitoringto ensure high-quality, on-time delivery.
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Build strong, trust-based relationships with customer stakeholders, proactively managing expectations and communication.
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Identifyand analyze current operational processes to uncover areas for optimization and automation.
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Evaluate solution options and assess feasibility, risks, and downstream impacts.
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Serve as the bridge between IT and business units to ensure alignmentonrequirements, priorities, and success criteria.
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Support testing of customer requirements,issue identification, impact analysis, and root-cause investigation to drivetimelyresolution.
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Contribute todeliveryplaybooks, checklists, and repeatable frameworks to enhance implementation efficiency.
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Develop ormaintainimplementationdocumentation such as configuration guides, workflow diagrams, or operational readiness checklists.
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Help teams stay aligned with evolving product capabilities, releases, and cross-functional dependencies.
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Provide structured post-go-live support, ensuring smooth adoption andtimelyresolution of early issues.
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Monitor solution performance duringhyper careperiods and coordinate with product/engineeringteamsas necessary.
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Support customer environment configuration, including system setup, data mapping, and validation of key integrations.
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Perform light data validation or analysis (e.g., SQL-based checks or structured data review) to ensure implementation accuracy., Your wellbeing means a lot to us, and we're here to support you through all of life's ups and downs. That's why we offer an unpaid leave policy, annual leave, reduced-hours timetables and a host of benefits, including a retirement plan, long service award, and health and travel insurance.
Requirements
Ready to make an impact in your career? If you're passionate, growth-orientated and a true team player, we'll help you succeed. Here are some of the skills and capabilities we look for., Seize ownership and excel with autonomy to enjoy the constant rush of ground-breaking discovery. Your ability to anticipate sudden shifts and adapt swiftly will prove critical as you make your mark in an environment that rewards initiative and resilience., You are organized, detail-oriented, and energized by solving complex problems. You understand how to translate business needs into technical solutions and communicateeffectively with diverse teams.You'renot afraid to dig into data, analyze systems, orfacilitatedifficult conversations if it means driving clarity and progress., * 2+ years of experience as a Businessor ImplementationAnalyst withexperiencein SaaS, AI/ML, or related digital technology environments.
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Familiarity with clinical trial processes and protocol interpretation as it relates to digital system delivery.
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Strong understanding of AI/ML concepts, APIs, relational data flows, and cloud platforms (AWS, Azure, or GCP).
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Proven analytical and critical-thinking skills with the ability to interpret complex data.
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Experience working across technical and business teams in customer-facing or implementation settings.
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Excellent communication skills with the ability to simplify complex concepts for non-technical audiences.
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Demonstrated ability to troubleshoot and analyze issues toidentifyroot causes quickly.
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Track recordof improving processes, automating manual tasks, oroptimizingworkflows.
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Comfortableworking in fast-paced, ambiguous, or start-up environments, with the ability to drive action and scalable solution-building.
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Ability to perform basic data validation or querying (SQL or similar tools).
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Understandingof SDLC and/or agile delivery methodologies and how they influence implementation timelines and handoffs.
Nice to Have
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Familiarity with agile methodologies and modern product delivery practices.
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Exposuretoclinical operations, decentralized trials, or research technology.