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Manager, Analytics

Role overview

Qualifications

  • Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Data Science/Management Science or in a relevant quantitative field
  • 8+ years of hands-on working experience in Data Science capacity with a minimum of two years working in customer analytics and/or digital media
  • Strong foundation in either Python or R, with working knowledge of several libraries/modules
  • Strong communication and presentation skills

Responsibilities

  • Manage client data science and advanced analytics engagements with a focus on delivery
  • Work in close collaboration with Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities
  • Lead the gathering of user stories, brainstorming sessions, and development of analytical tools
  • Interface directly with clients and internal leadership to deliver results of specific analyses

Key facts

  • Remote from: Maryland (USA)
  • Full time
  • Senior (5-10 years)
  • Analytics Manager
  • English

Hard skills

Other skills

  • Communication
  • Presentations
  • Critical Thinking
  • Team Leadership

About the company

iProspect  logo

iProspect

Digital Marketing & SEO Agencies

iProspect, a dentsu company, is a global digital-first end to end media agency. Its unmatched mix of media strategy and storytelling with digital expertise and audience knowledge defines the new territory of performance-driven brand building. By delivering human-centric solutions, iProspect accelerates growth for the world’s most iconic brands including Sonos, Cox, LG, Hilton, Levi’s, Budweiser, Microsoft, and Procter & Gamble. The iProspect team works across a network of more than 8,000 media and performance specialists spread across 93 global markets.

Company details

Company typeLarge
IndustryDigital Marketing & SEO Agencies
Company size5001 - 10000

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Job description

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients.

Job Description:

The primary focus of dentsu’s Data Science team is to devise robust yet simple, actionable solutions to drive our clients’ business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision making via our deep (and constantly evolving) customer analytics capabilities. For this role, we are looking for someone who is deeply experienced in the application of advanced statistic and data engineering methodologies in both theory and practice for a variety of customer analytics applications. Candidates should be intellectually curious and pragmatic self-starters who possess demonstrable experience leading projects through to completion.

Responsibilities

Manage client data science and advanced analytics engagements with a focus on delivery:

· Manage client communications and final deliverables

· Work in close collaboration with Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities

· Build internal and external timelines and project plans using Agile Project Management

Lead the gathering of user stories, brainstorming sessions, development, and eventual deployment of generalized and custom analytical tools outside of client specific work

Actively lead specific team-wide learning and development initiatives, including:

· Research into and the advancement of statistical or econometric methodologies

· R&D for new app or tool development ideas, including the development of MVP and proof-of-concept media science applications

· Development of both bespoke and productized media science solutions

Interface directly with clients and internal leadership to deliver results of a specific analysis and guide interpretation of analytics outputs and how to implement results

Requirements

· Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Data Science/Management Science or in a relevant quantitative field

· 8+ years of hands-on working experience in Data Science capacity with a minimum of two years working in customer analytics and/or digital media (agency or client-side)

· Strong foundation in either Python or R, with working knowledge of the following libraries/modules:

o Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib

o R: tidyverse (dplyr, tidyr, purrr, ggplot2), lme4, shiny

· Functional working proficiency with Git (GitHub & BitBucket)

· Familiarity with relational databases and the cloud (e.g., AWS/GCP/Azure)

· Exposure to and understanding of several key econometric and statistical frameworks:

o Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Decision Trees, RandomForest, Factor Analysis, KNN, K-Means, etc.

· Possess the ability to mentor a team, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative

· The demonstrated ability to translate complex processes into client-friendly terms

· Experience with marketing response models and their applications a plus

· Strong communication and presentation skills, including the ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

The annual salary range for this position is $119,000-$140,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.  

Benefits available with this position include:  

• Medical, vision, and dental insurance, 

• Life insurance,  

• Short-term and long-term disability insurance, 

• 401k, 

• Flexible paid time off, 

• At least 15 paid holidays per year, 

• Paid sick and safe leave, and 

• Paid parental leave. 

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.  For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. 

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. 

#LI-Remote #LI-MS3

Location:

USA - Remote - Maryland

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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