Harnham
SEARCH
Shortlist

Customer Analytics Manager

Boston, Massachusetts
US$140000 - US$160000 per year
Apply Save job

Customer Analytics Manager
Greater Boston Area
Retail
$140,000 - $160,000

One of my global clients in the Greater Boston Area is one of the most well-known name brands in CPG retail in the world. This is a brand new role that has been created to manage the customer and database analytics team, who work on advanced analytics and predictive modeling projects. You will be responsible for creating all customer KPI frameworks, measuring customer engagement with data across all channels, building predictive models in open source technologies including R and Python to predict growth and customer behaviors.

The Company:

My client is globally renowned CPG Retailer. They have been a major competitor in the market for 40+ years and are in a tremendous period of growth now. To insure they stay ahead of the curve they are looking to bring the best talent onboard.

The Role:

In this Customer Analytics Manager role, you'll be expected to have seasoned experience building advanced analytics modeling to predict customer behaviors across all channels. You will be regularly communicating and collaborating with internal stakeholders to lead on all projects and understand constraints. You will also be required to reveal customer insights through data-driven recommendations, as well as advise marketing ROI and new, innovative and data-driven strategies. Leadership experience is always looked favorably upon as you will be managing a team of 3-5.

  • Create customer segmentation and profiling models in R, Python and SQL based on sales and campaign engagement
  • Report results of customer KPI metrics and track success of strategies implemented
  • Deliver insights to internal leadership based on customer engagement
  • Leading, inspiring, and attracting top talent to continue to push the brand forward

Skills and Experience:

  • Management experience with technical teams using R, SQL, Python
  • Experience with global audiences is highly desirable due to the scope of work
  • Seasoned experience in advanced analytics, customer modeling, and segmentation including regression analysis
  • Experience managing stakeholders, both internal and external

HOW TO APPLY

Please register your interest by sending your resume to Allen Jackson via the Apply link on this page.

Keywords

R, Python, SQL, Predictive Analytics, Regression, Decision Trees, Logistic Regression, Linear Regression, Segmentation, CHAID, Cluster, KPI, Analytics, Insight, Marketing, Model, Modelling, Modell, Customer, Manager, Advanced Analytics, Retail, CPG, Forecasting, Digital, CRM, ROI, Strategy, Data-Driven

Apply Save job
Send similar jobs by email
37440/AJ
Boston, Massachusetts
US$140000 - US$160000 per year
  1. Permanent
  2. Marketing Analyst

Similar Jobs

Marketing Analytics Lead
Salary

US$130000 - US$150000 per annum

Location

Arlington, Virginia

Description

As Marketing Analytics Lead you will get to work for an international company using Syndicated data platforms.

ADD TO SHORTLIST
Customer Analytics Manager
Salary

Negotiable

Location

Washington, District of Columbia

Description

Do you understand why we like the brands we do? What motivates us to buy them? If so, then this role could be interesting for you!

ADD TO SHORTLIST
Senior Manager, CRM Analytics
Salary

Negotiable

Location

New York

Description

Do you have omnichannel analytics experience and want to work for an incredibly well-funded technology company in NYC?

ADD TO SHORTLIST
Manager, Customer Analytics
Salary

Negotiable

Location

Boston, Massachusetts

Description

Are you a Customer Analytics Manager with a focus on customer experience - if so this could be the next role for you!

ADD TO SHORTLIST

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Computer Vision in Our Day-to-Day Lives

We make micro adjustments every day to what we wear, how we shop, and how we drive. Our healthcare and industrial verticals are working with AI and Computer Vision to enhance our experiences from the user to the professional. There are a variety of computer vision applications to make life easier, more efficient, and safer. In other words, our computers have eyes. Every industry, it seems, is now touched by Computer Vision. From retail to healthcare to agriculture to banking, AI technology combines with deep learning and machine learning to help computers “see” where a car goes, an individual’s health, and what outfit might look best for any given outing. So, let’s take a look at some of the industries currently using Computer Vision. AUTOMOTIVE Human error and distractions often lead to car accidents and fatalities. According to the WHO, it’s estimated traffic accidents will be the seventh leading cause of death by 2030. To help alleviate this prediction, there is work being done on a self-driving car with sensor technology. Though autonomous cars have been tried before, this next incarnation has worked to ensure it can detect not only other cars and other large obstacles, but also pedestrians and cyclists at a distance. As it navigates through the streets autonomously, it follows traffic regulations as well as detect hand signals, and more. Efforts to train the vehicles use deep learning to predict, plan, and map its way through various scenarios. HEALTHCARE The advent of Computer Vision in technology has been a boon to the industry. It can help determine conditions of illness, reduce or eliminate misdiagnoses, and can even monitor blood loss during medical situations.  Captured images on items such as surgical sponges can be processed using Computer Vision using Machine Learning. In comparison with the human eye, the computer’s estimates were more accurate.  RETAIL  Retail has been at the forefront of many changes within the tech industry. And now, as online shopping, e-commerce, and virtual events take over traditional venues and brick-and-mortar stores, even the task of trying on clothes has gone virtual. From a virtual mirror which uses Computer Vision to help identify what outfit looks best. What may be most appropriate in what situation. Something like a movie montage, but in real time for a real person.  Retail takes things a step further by stepping up security. Using Computer Vision, retail security apps can monitor what is being recorded, what has been taken from shelves, and items being fake scanned. This information and knowledge can lead to reduced theft and other losses in stores. While other industries such as banking and agriculture have also seen a rise in Computer Vision, it’s the above which we might see in our day-to-day lives sooner rather than later. ONE FINAL THOUGHT Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics or other Data professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Mairead Holt

Mairead Holt

25. June 2020

News

The Transformative Nature of Data Science

What does Data tell us? Why do we want to know the information we collect and analyze? How can Data help us now? Well, sometimes you have to go back to basics. Knowing your Data helps you make better decisions for the future. This is the transformative nature of Data Science.  The Data Scientists have collected is leading toward a vaccine for a novel virus. Our massive shift from in-house workers to working from home showed us where the gaps in our internet infrastructure existed. But, the information we gathered wasn’t just where the gaps occurred, it also offers a jumping off point for how we can use what we’ve learned to improve.  We know Data is essential to business today, but how we use it, and gathering what we can learn from it, offer transformative advantages we might have otherwise missed. WHERE DO WE GO FROM HERE? Data Science is what helps us interpret the massive amounts of Data we’ve collected. With an estimated 90 percent of Data created just in the last couple of years, and an estimated dearth of connected devices estimated to grow over 75 billion by 2025, the sheer volume is daunting. Yet we still have need for change. Technologies to interpret Data at such a massive scale still need someone to gather, collect, analyze, and interpret the information. What we’ve learned so far with Data Science shows us what must change to support health workers, the health of our employees, the support of remote workers and gig workers, and how businesses can differentiate themselves from their competitors in a post pandemic world. SEVEN WAYS ORGANIZATIONS CAN PREPARE FOR THE FUTURE Prioritize Digital Collaboration As employees begin to return to ‘normal’ work hours, Gartner suggests 48% of employees will work remotely. This is an 18% increase pre-pandemic. So, when hiring managers take stock of their employees, they’ll want to consider things such as productivity and performance management and how workers are evaluated based remote working touchpoints rather than established criteria of employee performance management.Ensure Inclusivity of Employees  Bring employees into more critical roles and give them the freedom to make mission critical decisions. Open Up Opportunities and Develop Critical Skillsets Coach employees on how to develop critical skills for a variety of roles, rather than focusing on one particular role.Be Flexible The days of doing things ‘the way we we’ve always done’ are gone. It’s time to reassess, reevaluate, and prepare your employees for success. How? Consider what may may be needed for a given role’s development path. Do your employees need reskilling or upskilling?  Flexible careers. The gig economy. The freelance economy. Contractors. All these titles and labels offer flexible learning and training allowing your business to pivot smoothly and efficiently as needed. Training is the key here and it will help employees transition into other organizations, into roles with greater responsibility, and allow both your employees and your organization to adapt to changes more quickly.Teach Employees to Respond Rather than React Structure your organization and employee response to quickly course correct. Don’t assume or target a core set of future skills. We don’t know what the future holds or what skills may be needed. But if you have employees with wide interests, your business may be better positioned to make changes as needed. Implement a Culture of Inclusiveness – Remote vs. In-House Employees Diversity is an important part of any business. But with the rise of remote workers, it’s time to ensure all workers are supported in regard to healthcare coverage, mental support, and financial health pre-and post-pandemic. Inclusiveness can help to engage those workers both in-house and remote to ensure everyone feels part of the team. Devices such as VR, AR, video calls, and more can help to make every employee feel part of the company culture.Encourage Data Literacy Throughout Your Organization Everyone in your organization will need to be Data literate. Yet everyone will be at a different level of literacy. Here it’s important to define both the skills and capability. Once your leadership has a firm grasp of the Data provided to them by your Data Scientists and business intelligence analysts, then they’ll have a starting point from which to make informed decisions. Building a culture of Data begins with leadership. Are you ready for the role or are you an organization looking for someone to fill this role? Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  If you’re interested in Big Data and Analytics or other Data professional opportunities, check out our current vacancies or contact one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Kristianna Chung

Kristianna Chung

18. June 2020

News

Recently Viewed jobs