Data Specialist - San Jose, United States - McKinsey & Company

Description

Who You'll Work WithYou will be based in Costa Rica office and will be part of our Growth, Marketing & Sales practice.

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 marketing such as branding, customer insights, marketing ROI, digital marketing, CLM, pricing, and sales and channel management.

Our practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting.

Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations.

Periscope by McKinsey is the technology backbone of McKinseys Growth, Sales & Marketing 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. We enable our clients to make better commercial decisions faster by uncovering actionable insights. Periscopes suite of solutions helps organizations accelerate and transform their category management and revenue growth management.

It combines world-class IP, enriched data, cloud-based tools, and end-to-end capability building to create actionable insights and new ways of working.

This combination helps to drive lasting performance improvement, a 2-7% increase in return on sales (ROS), and margin management.

With experts and analysts around the world, 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 28 locations across six continents, 35+ capabilities, and a team of 800+ IT and business professionals and 300+ experts.

To learn more about how Periscopes solutions and experts are helping businesses continually drive better performance, visit What You'll DoYou will perform data transformation, modeling and validation activities as well as configure applications to client context.

In this role, you will touch upon data extraction and data manipulation. You will take ownership in extracting data for the various projects and organizing the ETL developments.

You will design and drive the ETL development as well as plan, organize and drive the development work and undertake complex analysis to accomplish the project objective.

You will develop ETL core modules and lead junior resources in the development of remaining ETL. You will work on existing sub-optimized processes to identify room for improvements.

You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains that will provide a sustainable set-up that can be supported on a long term.

You will independently design presentations to summarize the results of analysis.

You will also have the opportunity to develop a deep understanding of the domain/function (across pricing, promotions, trade architecture and assortment) and manage the business process in the work area along with developing cross-site relationships to enhance idea generation.

You will also define and manage partner expectations and you'll coach and mentor new hires by sharing your business, functional and technical expertise.

You will also collaborate with the team in coding, testing and executing project requests.

You will support ongoing business processes by delivering high-quality end products on time and by performing quality checks wherever required.

QualificationsBachelors degree in computer science, information systems or closely related field5+ years of experience in data architecture in a professional services environment is highly preferredStrong data architecture knowledge including building data models, ER diagrams and data interaction pipelineHands on experience in data extraction (extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user - defined functions, join optimizations)Strong coding skills in Python, PySparkGood knowledge of SQL performance tuningExperience in developing Spark applications using Spark - SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the dataGood knowledge of Jenkins, code version controlAbility to interact in a fluid, demanding and unstructured environment where priorities evolve constantly and methodologies are regularly challengedComfortable with ambiguity; self-motivated with strong sense of ownershipExcellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutionsCollaborative and able to motivate team members; ability to work well within teams across continents/time zones#J-18808-Ljbffr