Customer Analytics Manager

Boston, Massachusetts
US$140000 - US$160000 per year

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

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

Similar Jobs

Salary

£30000 - £40000 per annum + bonus

Location

London

Description

DATA ANALYST LONDON UP TO £40,000 One of Europe's leading sporting retailers looking for Data Analyst to join their team, to develop data driven solutions.

Salary

£45000 - £55000 per annum

Location

London

Description

An exciting role working for a leading telecommunications company. They operate across an international scale and have a huge customer base

Salary

£60000 - £70000 per annum

Location

London

Description

This company is one of the UK's leading tech start-ups, operating on a website and an app basis.

Salary

£40000 - £50000 per annum

Location

London

Description

JUNIOR DATA SCIENTIST LONDON UP TO £50,000 Rapidly growing gaming studio is looking to expand its data science team.

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.

Weekly News Digest: 3rd - 7th May 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.      Personnel Today: Top 50 firms for gender equality named This week it was great to see that leading recruitment publication, Personnel Today, reported on the organisations that have continued efforts to improve gender equality over the past year. These names were also featured on The Times Top 50 Employers for Women. Household names including PepsiCo UK & Ireland and Royal Mail; public sector bodies including the Department for Work and Pensions and the Department for Transport; law firms including Allen and Overy and Pinsent Masons; and financial and insurance institutions including Santander and Aviva all take a spot on the 2021 list. The pandemic has, without doubt, placed greater emphasis on how much progress still needs to be made to achieve gender equality. However, it’s great to see awareness, recognition and celebration of organisations that are contributing to the narrative of success for women in business. See more on this here. Retail Insight Network: What online retailers can expect as high street footfall increases “The fact that e-commerce and social media are intrinsically entwined has allowed brands to engage directly with customers through virtual means.” These are the expert thoughts of Oracle NetSuite retail industry principal Zak Rafiq, talking to Retail Insight Network about what retailers can expect amid increasing footfall and why a direct-to-consumer strategy may be imperative in the current retail landscape. A successful direct-to-consumer strategy can put online retailers in control and offers a good opportunity to drive revenue without the costly overhead associated with physical retail. By operating in an online space, retailers can build a strong understanding of their consumer profile, in turn crafting a strategy for how to engage them (particularly post-pandemic) and generating an impactful and long-lasting customer experience. To read more on this topic, click here. KDNuggets: Best Podcasts for Machine Learning Podcasts are continuing to surge in popularity. In particular from a business perspective, those that feature interviews with industry experts can prove to be a vital tool for professionals to learn about subfields, and the latest innovations in their area of expertise – and beyond! This great summary article from KDNuggets outlines the best podcasts to help data professionals, who are either keen to learn or already seasoned practitioners, get a better understanding of machine learning. A few mentioned on the list include: Gradient DissentDeepMind: The PodcastLex Fridman PodcastChai Time Data ScienceMachine Learning Street Talks To read the full article and add these to your subscriptions, read more here.  TechRepublic: Microsoft is boosting its support for the Python programming ecosystem We love this article from TechRepublic, sharing the positive news from Microsoft this week, as the organisation is set to increase its support for the Python community. This means that the programming language will be pushed forward in emerging fields like data science. A pretty big step for the industry. What does this mean? Well, the tech giant has pledged $150,000 in financial sponsorship to the Python Software Foundation, the non-profit organization that holds the rights to the language – the creator of Python, Guido van Rossum, even came out of retirement last year to work with Microsoft on their plans to support the community of Python programmers. It will certainly be worth keeping an eye on where this goes next. We’ll definitely be paying close attention! To read more about this, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.    

Weekly Digest: 26th - 30th April 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. Computer Weekly: Microsoft outlines five-year plan for accessibility tech 1 in 5 employers have stated that they would be less likely to hire someone if they were disabled. A damning and worrying statistic highlighting the severe disability divide that still exists in the working world.  In a bid to help put a stop to this serious lack of inclusion, Microsoft have teamed up with the Department for Work and Pensions (DWP) to train up to 26,000 members of staff and work coaches to help them create a more accessible recruitment and working experiences for those with disabilities.  The three key areas of focus for Microsoft include: Educating workers to have a better understanding of accessibility.Showing how applied sciences can be used to create opportunities for all.Dedicating its cause to constructing inclusive office environments, whether on or offline. Brilliantly summed up by Brad Smith, Microsoft President: “Our work begins by guaranteeing that Microsoft’s personal merchandise are accessible by design, in order that as we advance our options and performance, we can assist everybody throughout the spectrum of incapacity be extra productive.” Read more on this fantastic story here.  Analytics India Mag: Why Data Engineering is the fastest growing tech job in 2021 As a result of COVID-19, businesses have had to work hard to not only navigate the ‘new normal’ but thrive in it. Remaining relevant and staying one step ahead of the competition has been, and will continue to be, crucial – and for this reason alone, Data Engineering is undoubtedly going to the fastest growing sector this year and perhaps beyond.  During this year’s SkillUp event, Sourav Saha, academic dean at Praxis Business School, and Prasad Srinivasa, assistant vice president at Genpact, spoke about the exciting career opportunities in data engineering. In a world driven by data, it is crucial that companies are using the data they have available to drive the success of their business. From being able to forecast future trends to gather consumer sentiment, data, and data engineers, will undoubtedly drive business success. Srinivasa highlights the three key roles he is expecting to emerge and boom over the next 6 – 12 months: Data OrchestrationData Architecture and Governance Data Strategy To read more on what to expect for the future of Data Engineers, click here.  Silicon Republic: How to ensure your Life Science career thrives after COVID Life Sciences became the saviour of the COVID-19 pandemic. Those within the sector worked tirelessly to create and deliver vaccines around the world, giving us all the hope we needed to get to the end of this crisis.  However, once we finally see the back of the COVID-19 pandemic, many Life Science specialists beg the question – what next? How do we continue to thrive in our careers and any future prospects post-pandemic? This insightful article from Silicon Republic highlights five key steps to ensure specialists can be prepared to take the next steps in their working journey once the dust has settled.  1. Take control and be proactive Before you do anything else, take proactive steps to look at the opportunities your current employer might be able to present you. Don’t be afraid to put yourself forward.  2. Look for innovation As the whole world adapts to the new normal, it’s more than likely your company is going to innovate to stay one step ahead of the competition. Explore where this innovation is likely to happen and put ideas forward to spearhead change.  3. Upskill across the board From those harder skills, such as technical knowledge, to softer skills, such as communication and empathy, will all need to be revisited and boosted as we come out of the pandemic. Make sure you take your learning into your own hands and show initiative.  4. Reflect on your career options If you’re ready to make the move away from where you are, make sure you’ve got a clear idea of what it is you want next before taking the leap. Tailor your CV, brush up on your knowledge and don’t be afraid to engage with a recruiter if you need guidance.  5. Learn how to present well in remote interviews  Computer to computer isn’t the same as face-to-face. Get up to speed with online etiquette and make the best first impression.  Read the full article here.  TechBullion: 3 sectors revolutionised by AI The pandemic has accelerated many businesses uptake and implementation of AI. But which sectors have we seen reap the most reward from this fantastic technology? TechBullion explores.  Insurance: Insurance firms have seen AI boost customer satisfaction like never before. Whether that’s through faster processing of claims, a reduction in fraud or improving loss prevention, AI has been making the sector smoother and more efficient.  Entertainment: The likes of Netflix and Spotify have taken AI and used it to transforms how they service consumers. With many users wanting a service that provides a seamless, efficient, and relevant experience, entertainment platforms have been able to create software that can learn personal preferences and offer timely suggestions based on users evolving needs and wants.   Education: The use of AI within education has become vast. From making every day learning easier through AI-based games that can be tailored to all learning types and needs to the personalisation of students’ curriculum depending on the results of past tests – the abilities are endless.  To read more on this, visit TechBullion here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.       

Recently Viewed jobs