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- Tasks: Join us as a Senior Data Business Analyst, documenting workflows and collaborating with teams.
- Company: HCLTech is a global tech leader with over 220,000 employees across 60 countries.
- Benefits: Enjoy remote work options, competitive pay, and a vibrant corporate culture.
- Why this job: Be part of impactful projects in diverse industries while enhancing your data skills.
- Qualifications: Experience in data migration, SQL, and agile methodologies is essential.
- Other info: Ideal for those passionate about data quality and transformation in the banking sector.
The predicted salary is between 43200 - 72000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Experience documenting workflows, system processes, and collaborating closely with product and engineering teams.
Work closely with internal and external stakeholders to understand their business needs and requirements, and translate them into clear and concise business requirements to be built by the engineering team.
Create technical specifications, feed specifications, API specifications and data models.
Experience in data migration, transformation, ETL processes and APIs.
Create as-is and to-be state dataflows using UMLs or data flow diagrams.
Create source to target mapping including transformation logic/business rules for complex scenarios.
SQL skills and experience with relational databases.
Experience in improving the data quality through profiling and rule implementation. Ability to measure improvements in quality and identify the value that delivers.
Understanding of data controls (data lineage, data retention, remediation, quality, management etc.).
Experience working in agile teams and familiarity with scrum ceremonies.
Ability to communicate complex data findings clearly to both technical and non-technical stakeholders.
User stories - Creation, capturing acceptance criteria, validating Functional Test scenarios in JIRA and experience using Confluence.
Experience in leveraging Data led Customer transformation.
Experience in Banking domain.
Senior Data Business Analyst employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Business Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL and JIRA. Being able to demonstrate your proficiency in these areas during interviews can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience in the banking domain. Engaging with them on platforms like LinkedIn can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data migration and transformation processes in detail. Be ready to share specific examples of how you've improved data quality and the impact it had on previous projects.
✨Tip Number 4
Showcase your understanding of agile methodologies and how you've contributed to scrum ceremonies in past roles. This will demonstrate your ability to work effectively within teams and adapt to fast-paced environments.
We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Senior Data Business Analyst position at HCLTech. Make sure you understand the key responsibilities and required skills, such as experience with SQL, data migration, and agile methodologies.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your skills in documenting workflows, creating technical specifications, and working with stakeholders. Use specific examples to demonstrate your expertise in data quality improvement and agile practices.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the banking domain. Mention how your previous experiences have prepared you for this role and how you can contribute to HCLTech's goals. Be sure to address the specific qualifications mentioned in the job description.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and free of jargon. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at HCLTech
✨Showcase Your Technical Skills
As a Senior Data Business Analyst, you'll need to demonstrate your SQL skills and experience with relational databases. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work, such as data models or technical specifications.
✨Understand the Business Context
Make sure you have a solid understanding of the industry HCLTech operates in, especially the banking domain. Research their clients and the types of solutions they provide. This will help you articulate how your experience aligns with their business needs during the interview.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about complex data migration or transformation scenarios you've encountered and be ready to explain how you approached them, including any challenges you faced and how you overcame them.
✨Communicate Clearly with Stakeholders
Since the role involves collaborating with both technical and non-technical stakeholders, practice explaining complex data findings in simple terms. Prepare examples of how you've successfully communicated requirements and findings in past roles, highlighting your ability to bridge the gap between different teams.
