Data Analyst- Associate. at KPMG

Key responsibilities

The overall objective of the role is to bring strong sector and /or business- process specific knowledge to bear for Data and Analytics strategy, transformation and solution design engagements. The consultant will focus on helping clients understand the broader D&A journey and implications, and helping engagement teams understand domain context required for delivering meaningful and effective insights from D&A solutions.

Qualifications and experience

1. 1 – 2 years relevant experience
2. Experience and expertise at gathering client and market information through interviews, surveys, workshops, and market research, and at presenting that information effectively at an executive level.
3. A Bachelor’s degree in Computer Science, Information Technology or other related fields

Responsibilities

1. Assess, capture, and translate complex business needs and existing organization D&A maturity levels into a structured strategy for D&A capability development, including role and process design, analytics use case ideation, and technology road mapping;
2. Utilize a hypothesis-driven problem-solving approach to design and review with clients all aspects of an organization-specific D&A target operating model;
3. Research and communicate sector- or process-specific data and D&A solution design requirements, including building such design requirements into targeted visualizations;
4. Support project leaders in tracking and communicating project risks, budget, rates, and launch/closeout activities, including the administration of work papers and collaboration sites (shared with D&A Modelers and D&A Engineers) and;
5. Pro-actively broaden and deepen client relationships by working with varying levels of client team members (shared with D&A Modelers and Data Engineers)

Skills and attributes

The ideal candidate must have;

• Organization design, transformation design/execution expertise, and work stream management skills
• Strong business consulting acumen
• An understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities
• An understanding of requirements, styles, and preferences for visualizations withing their sectors of expertise.
• Fast learning and analytical thinking skills
• Experience working in a complex, fast moving environment.
• The ability to work effectively with minimal supervision
• Willingness to be a team player

We offer

1. A fantastic opportunity to work in exciting professional services firm
2. Continuous learning and development
3. Exposure to multi-disciplinary client service teams
4. Unrivaled space to grow and be innovative