Lead Data Business Analyst

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Company Overview

This is an opportunity to join a global technology consultancy that integrates strategy, design and software engineering to enable enterprises and technology disruptors across the globe to thrive as modern digital businesses.¹ With a passion for technology and a commitment to client success, they work with organizations to solve their most complex challenges and build innovative solutions. Their collaborative and forward-thinking culture fosters an environment where individuals can learn, grow, and make a significant impact.

Job Title: Lead Data Business Analyst

Job Description

This individual will shape and guide the day-to-day development of the data product/solution and assure its fitness for business purpose. They will understand how to deliver value incrementally, articulating and expressing scope as features and user stories and slicing requirements into vertical slices. This role involves building relationships with business stakeholders to understand their ongoing needs and manage the product roadmap and product backlog on an ongoing basis.

The successful candidate will have the ability to interpret research, insights, and analysis and convert them into a product backlog. They will be able to articulate and structure value between competing priorities and interpret business objectives into data and development needs. Formulating business questions as data-driven hypotheses and defining simple relevant metrics to measure them will be a key responsibility. This includes designing and executing experiments to test hypotheses, accessing, filtering, and cleaning datasets needed in experiments and in feature development, and measuring experiment results and success criteria.

Furthermore, this individual will measure feature usefulness to inform future enhancements to the data product/solution and make metrics and data analysis visible to everyone on the team. Collaboration with QAs to define test cases and acceptance criteria for user stories is essential. They will perform exploratory data analysis to identify gaps and understand the quality of existing data assets to inform feature development. Collaborating with the Data Solution Owner and the Business to showcase features as they are completed and get sign-off is also a critical aspect of this role.

Job Qualifications

Technical Skills

• Experience in the development of a Data Analytics Platform (DAP) on Government Commercial Cloud (GCC).
• Knowledge of data & technology solutions, such as big data platforms, data warehouses and data lakes, advanced analytics, machine learning, and business intelligence.
• A track record of delivering impactful software, ideally on a collaborative software delivery team.
• Attention to detail and a practical approach to the day-to-day work of story-writing and delivery, with the ability to draw a direct line from an overarching client strategy to the team’s outcomes.
• A passion for unearthing the root cause(s) of a client’s pain points, validating a business opportunity or problem, and partnering to deliver a solution.
• Well-versed with Agile, Lean, and Continuous Delivery methodologies, with a desire to mentor others.
• Ability to perform exploratory data analysis to identify gaps and understand the quality of existing data assets to inform feature development.
• Familiarity with data visualization tools such as Tableau, Power BI, or Qlik.
• Proficiency with Agile tools such as Confluence and JIRA.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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