At a Glance
- Tasks: Become a Workday Financials Data expert and guide clients through data transformation.
- Company: Join Cognizant, a leading tech company with a collaborative culture.
- Benefits: Enjoy remote work, learning opportunities, and a supportive environment.
- Other info: Dynamic role with global opportunities and strong career growth potential.
- Why this job: Make a real impact by transforming financial data for diverse clients.
- Qualifications: Bachelor’s degree in IT or Finance; experience with Workday Financials is essential.
The predicted salary is between 58500 - 71500 £ per year.
Cognizant Workday Practice is seeking a Data Consultant with experience in Workday Financials and finance data transformation. As a Data Consultant, you will guide clients through the transformation, implementation, and operation phases of a Workday Financials implementation, with a focus on data migration, validation, and optimisation. This role is best suited for self-starters who are eager to work across a range of clients and engage in all phases of Workday system implementations. You will join a collaborative, fast-paced consulting practice supported by experienced mentors and strong learning opportunities.
Responsibilities:
- Become a Workday Financials Data expert, with knowledge of design, configuration, testing, and implementation.
- Partner closely with project teams and clients to deliver high-quality outcomes across all phases of implementation.
- Utilize Workday tools such as iLoad, EIB, Object Transporter, Advanced Load, and Migration Recipe to support tenant-to-tenant migrations.
- Design and develop data tracking, reconciliation, and monitoring tools to ensure financial data accuracy and integrity.
- Map and convert data sources into data conversion templates, aligned to Workday Financials structures.
- Guide clients through data extraction, cleansing, transformation, and loading processes.
- Support data migration activities, including loading financial data, moving configuration between tenants, and aligning with business processes and security.
- Develop ETL processes and data transformation logic to improve and normalise financial data.
- Validate and reconcile data loaded into Workday, ensuring consistency with legacy systems and financial requirements.
- Engage regularly with clients throughout the project lifecycle, ensuring a smooth transition from legacy systems to Workday Financials.
- Manage multiple tasks under limited supervision, keeping stakeholders informed of progress, risks, and issues.
- Participate in training and internal knowledge-sharing to continuously develop expertise.
Skills & Requirements:
- Bachelor’s degree or equivalent experience in Information Technology, MIS, Finance, or a related field.
- Experience in ERP data conversion or financial systems implementation.
- Experience with Workday Financials is essential.
- Understanding of financial data structures, including General Ledger, transactions, and reporting frameworks.
- Experience with data conversion, migration, and data loading tools.
- Strong Excel skills and experience working with large datasets.
- Working knowledge of SQL or data querying tools (preferred).
- Strong analytical and problem-solving skills with high attention to detail.
- Strong communication and presentation skills, with the ability to work with both technical and functional stakeholders.
- Ability to work independently and collaboratively within a team environment.
- Eligibility for SC Clearance (must have resided in the UK for the last five years and have the right to work in the UK).
Why choose Cognizant:
- Entrepreneurial environment that welcomes your ideas.
- Opportunity to do great work.
- Outreach programs that support communities and tap into your volunteer spirit.
- Learning opportunities to help current needs and advancement.
- Global operations, with opportunities in North America, Europe and Asia Pacific.
- An abundance of Affinity groups to meet your needs.
Cognizant Core Values:
- Work as One: We think beyond roles, relying on each other’s strengths to win as a team.
- Raise the Bar: We always aim for excellence in how we work and what we deliver.
- Dare to Innovate: We push boundaries and take chances to reimagine what’s possible.
- Do the Right Thing: We all lead with integrity and always make the ethical choice.
- Own It: We own the outcomes for our company, colleagues, and community.
Workday Financials Data Consultant in London employer: Cognizant
Cognizant is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Public Sector. Employees benefit from comprehensive growth opportunities, including training in cutting-edge AI technologies, while contributing to meaningful projects that impact government services. With a commitment to quality and excellence, Cognizant provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Workday Financials Data Consultant in London
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We think you need these skills to ace Workday Financials Data Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cognizant. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cognizant
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
