Solution Delivery Analyst - Ignite null

About this opportunity

Qualifications

• Fresher in master's degree in business administration (MBA) with a bachelor's degree in IT, computer science, information systems, mathematics/statistics, or related discipline
• 1-3 years of prior experience in the field of IT consulting, digital, analytics, and/or business intelligence
• Experience working with large databases, data visualization tools, and statistics
• Strong knowledge of IT, digital, and analytics areas in a consulting setup
• Good operational knowledge of MS Office (e.g., Excel, PowerPoint) technical features and developer tools as well as VBA automation, etc.
• Working knowledge of any of the following is a plus Python, R, SAS, Tableau, Power BI, Alteryx, Confirmit integration, Qualtrics, NoSQL databases
• Technical programming (coding/development) and logical ability in the field of application development and data analysis is a plus
• Experience in portfolio management and project management is preferred
• Superior conceptual problem-solving, quantitative, and analytical skills with a critical eye to validate data quality, identify issues, and take corrective measures
• Strong entrepreneurial mindset; interested in a "start-up" environment and excited about coding and data analysis
• Willingness to work in an ambiguous and highly demanding and results-oriented environment
• Ability to establish him/herself as a trusted and indispensable advisor to consulting teams and clients
• Outstanding verbal and written communication skills

What You'll Do

You will be responsible for delivering Ignite diagnostics and bottom-up IT project planning for transformations, contributing to product development and improvements, and knowledge creation initiatives.

In this role, you will work on analyses of digital and analytics maturity and drive/support the IT benchmarking as well as project sizing, cost/FTE estimation and sequencing in one or multiple verticals as part of broader McKinsey engagements. You will coordinate data gathering as well as analyze and develop end deliverables. You will analyze small/medium data sets by developing scripts to validate, transform and load data using programming languages such as Python/R. You will also manipulate and analyze data in Excel and create insights that will help drive our clients to action. You will work on technical deliverables associated with internal operations automation and tools as well as client-facing prototypes. This includes application development, deployment and maintenance, and associated operational tasks.

Who You'll Work With

You will be based in our Gurgaon, India office as a member of our Ignite team, a part of McKinsey’s Digital & Analytics practice. You will interact with McKinsey engagement teams and client stakeholders.

Ignite is based on McKinsey’s cumulative digital, analytics and IT expertise, providing diagnostics and services to drive digital, analytics and IT transformations globally across sectors. We support the entire transformation, from quickly assessing current performance and maturity, benchmarking against industry peers and best-in-class companies, identifying improvement levers and quantifying potential value at stake, supporting implementation measures, and sustaining improvements over time.

McKinsey’s Digital & Analytics practice fosters innovation driven by analytics and design thinking by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundational component of our entrepreneurial culture. Through innovative software-as-a-service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

Our office culture is casual, fun, and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.