India Job Openings

McKinsey & Company

Software Delivery Analyst (Data) - Periscope

Gurgaon

September 2, 2024

Who You'll Work With
You’ll work with our Periscope team in our Gurgaon, India office. Periscope is the technology backbone of Mc Kinsey’s Growth, Marketing & Sales Practice. Founded in 2007, it combines world-leading Intellectual Property, prescriptive analytics, and cloud-based tools, with expert support and training. This unique combination drives revenue growth – now, and in the future. The platform offers a suite of Growth, Marketing & Sales solutions that accelerate and sustain commercial transformation for businesses.
The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. Our clients benefit from our experience in core areas of sales and marketing topics such as sales and channel management, branding, customer insights, marketing ROI, digital marketing, CLM, and pricing. Our Practice offers an exceptional opportunity to work at the intersection of sales, marketing, and consulting. Focusing on issues like redefining sales and marketing operations and commercial transformation, our people help clients build capabilities and transform how companies go to market-moving them to customer-centric organizations.
Periscope leverages its world-leading IP (largely from Mc Kinsey but also other partners) and best-in-class technology to enable transparency into Big Data, create actionable insights, and new ways of working that drive lasting performance improvement, and typically sustain a 2-7% increase in return on sales (ROS). With a truly global reach, the portfolio of solutions is comprised of: Marketing Solutions, Customer Experience Solutions, Category Solutions, B2C Pricing Solutions, B2B Pricing Solutions, and Sales Solutions. These are complemented by ongoing client service and custom capability building programs.
Periscope has a presence in 27 locations across 16 countries with a team of 800+ IT and business professionals and a network of 300+ experts. To learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance, visit www.mckinsey.com/periscope
What You'll Do
You will be part of the data delivery team and will have the opportunity to develop a deep understanding of the domain/function.
You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains.
You will run data engineering pipelines, link raw client data with data model, conduct data assessment, perform data quality checks, and transform data using ETL tools.
You will perform data transformations, modeling, and validation activities, as well as configure applications to the client context. You will also develop scripts to validate, transform, and load raw data using programming languages such as Python/Py Spark/Spark SQL. You’ll also be required to analyze and visualize data using Power BI to provide insights to support business decisions.
In this role, you will determine database structural requirements by analyzing client operations, applications, and programming.
Given the pace of this role, you will develop cross-site relationships to enhance idea generation, and manage stakeholders. Lastly, you will collaborate with the team to support ongoing business processes by delivering high-quality end products on-time and perform quality checks wherever required.
Qualifications
  • Bachelor’s degree / master's degree with high rankings, with 3+ years of professional work experience with a reputed firm
  • Excellent written and verbal communication skills in English
  • Self-motivated with strong sense of problem-solving, ownership and action-oriented mindset
  • Able to cope with pressure and demonstrate a reasonable level of flexibility/adaptability
  • Track record of strong problem-solving, requirement gathering, and leading by example
  • Able to work well within teams across continents/time zones with a collaborative mindset
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