You will join one of our US offices and be part of our Marketing Analytics team. This team helps clients transform their marketing and sales by applying advanced analytics to generate value-creating insights from big data.
Founded in 2007, Periscope by McKinsey is an award-winning technology platform that enables better commercial decisions by uncovering actionable insights. The Periscope platform combines world-leading intellectual property, prescriptive analytics, and cloud-based tools to provide more than 25 solutions focused on insights and marketing, with expert support and training. It is a unique combination that drives revenue growth both now and in the future. Customer experience, performance, pricing, category, and sales optimization are powered by the Periscope platform.
You will collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation.
In this role, you will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients' marketing practices.
Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You'll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions.
As a core member of the consulting team, you'll conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis.
You'll also have the opportunity to lead and support the development of knowledge for our firm's analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact in the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data.
Undergraduate or advanced degree in a quantitative discipline, e.g. statistics, mathematics, econometrics, operations research
Strong academic qualifications, including advanced understanding/coursework in database management and math, such as linear, algebra, calculus
2-4 years of hands-on work experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context
Experience in B2B or B2C environments also preferred
Proficiency in statistical data analysis and data mining packages, e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel
Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
Advanced programming skills in at least one of Python, R, Java
Experience linking multiple data platforms (social media, open, etc) and with data visualization tools (e.g., Tableau)
Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Ability to independently own database development and decisions, balancing demands and deadlines
Distinctive communications skills and ability to communicate technical content in an easy to understand way
Strong people skills, team orientation, and a professional attitude
Willingness to travel