Data Science Analyst - Marketing amp Sales

Profile

Analytics
Data Science Analyst - Marketing & Sales
Who You'll Work With
You will be based in one of our North America offices as part of our marketing and sales team.
The team 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.
What You'll Do
You will collaborate with colleagues and clients to create new strategies across a wide platform of projects such as life-cycle management, pricing and promotions, marketing mix modeling, analytic transformation, etc.
In this role, you will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic and 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 will 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. You will also 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 will also lead and support the development of knowledge for our firm's analytics group. You will 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.
Qualifications
Undergraduate or advanced degree in a quantitative discipline (e.g., statistics, mathematics, econometrics, operations research)
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
Strong academic qualifications including advanced understanding/coursework in database management and math (e.g. linear, algebra, calculus)
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 the programming languages: Python, R, Java
Experience linking multiple data platforms (e.g., social media, open, etc.) and with data visualization tools (e.g.,Tableau)
Intellectual curiosity
Excellent problem-solving and quantitative skills, including the ability to dis aggregate 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 and team-orientation
Ability to travel up to 75% of the time
COVID-19 vaccination mandate:
Employment with McKinsey & Company, Inc. in the United States and Canada is conditioned on proof of full vaccination against the COVID-19 virus (with a WHO-approved or Health Canada-approved COVID-19 vaccine, as applicable) or approval of an exemption due to a qualifying medical condition or sincerely held religious belief prior to start date.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our and sites.
Job Skill Group - CSS Pre-Associate
Job Skill Code - AF - Analytics Fellow
Function - Marketing & Sales
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Apr 29 00:00:00 GMT 2021
LinkedIn Posting City - New York
LinkedIn Posting State/Province - New York
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Science Analyst - Marketing & Sales
LinkedIn Function - Analyst;Consulting;Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Entry level
Equal Opportunity Employment Disclaimer
McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

Company info

Sign Up Now - FinancialServicesCrossing.com