At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
As a Workday AMS Reporting & Analytics Consultant, you will be responsible for helping our 100+ AMS (Post-Production) clients transform their Workday experience through the revision and creation of Workday reports and analytical tools based on both customer requirements and our own best practices.
You will work as part of a delivery team responsible for cases for customers of all sizes, across multiple industries. You will be a lead within the Reporting & Analytics space and provide mentorship and oversight to more junior team members.
You will join the team with experience in the following areas: Advanced, Matrix, Trending and Composite Reporting, Dashboards, Discovery Boards, Worksheets and building complex Calculated Fields.
This role is vital in transforming customers’ Workday data into information that can drive their business decisions.
Applicants should have 5+ years of experience specifically in Workday Reporting.
Key responsibilities
Reporting & Analytics
Design and develop Workday reports (Advanced, Matrix, Trending, Composite)
Build dashboards, Discovery Boards, and Worksheets
Configure complex Calculated Fields
Optimize and enhance existing reporting solutions
Translate business requirements into reporting outputs
Client Engagement
Lead or support requirements gathering sessions
Manage workload across multiple clients
Provide Workday best-practice guidance
Build strong client relationships
Team Contribution
Manage and mentor junior consultants
Maintain Workday certifications
Contribute to internal initiatives and best practices
Minimum requirements:
5+ years of experience in Workday Reporting
Strong experience with Advanced, Matrix, Trending, and Composite Reporting
Strong communication and customer-facing skills
Ability to manage multiple priorities and meet deadlines
Desirable experience:
Workday Reporting Certification
Financials Reporting experience
Prism experience
Experience leading reporting or data workstreams
Experience with EIBs
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
