Manager Advanced Analytics

Cambridge, Massachusetts
US$120000 - US$140000 per year

Manager, Advanced Analytics
eCommerce
Cambridge, MA
$120,000 - $140,000 + benefits

Do you like the start-up mentality environment and want a huge amount of autonomy for yours and your team's work? If you thought yes, to any of the above, then this could be the next step for your career. One of the fastest growing, and most profitable eCommerce companies in the Greater Boston Area, with a portfolio of clients are looking for a highly statistical and proven Manager to come and join their team. The ideal candidate will have experience in hiring and developing highly technical teams, promoting exploratory analysis using SQL, R, Python to build sophisticated models, and Spark for data storage.

THE ROLE - Manager, Advanced Analytics:

As a Manager of Advanced Analytics, you will lead a highly technical team of 4-5 Advanced Analysts using R, SQL and Python, to make sense of terabytes of data from multiple streams and could be anything from campaigns, products, customer transactions, or even online data to maximize the potential to turn this into a new product, increased revenue or more efficient ways to target your customers. Your key responsibilities will include:

  • Managing and developing a growing team that work on multiple projects simultaneously to understand customer, product and marketing behaviors across all channels of engagement online, especially within email marketing as that is the largest conversion to purchasing customers, creating measurement plans that are efficient, effective and increase ROI and customer acquisition
  • Leveraging your advanced analytics background to partner with the VP Analytics to understand terabytes of customer data, turning it into a consumer journey, and delivering insights to a wide variety of stakeholders (both internal and external). You will be synthesizing data into useful insights and strategy, being creative in your approach to innovation to upsell and cross sell products and services
  • Being adaptable and flexible to project changes, having a fluid approach to the team management, championing innovation and pushing boundaries with data using open source tools such as R and Python/Julia and SQL, as well as Spark.
  • Designing and defining the customer strategy to ensure this company remains the market leader in not only meeting customer demands, but designing products that are cutting edge and revolutionary in the eCommerce market

YOUR SKILLS AND EXPERIENCE:

  • Strong analytical background in R, SQL and Python, focusing on advanced analytics, within marketing, customer, product or exploratory analysis and R&D
  • Proven experience in hiring, managing and motivating diverse teams of experienced Advanced Analysts and Senior Analysts, as well as being able to bridge the gap between the rest of the business
  • Ability to turn complex data into a consumer journey, delivering insights and recommendations to a variety of non-technical stakeholders

HOW TO APPLY -Manager, Advanced Analytics:

Please register your interest by sending your resume via the Apply link on this page

KEYWORDS:

eCommerce, Advanced Analytics, Customer, Marketing, Data Science, Consumer Insight, Insurance, CRM, Products, Customer Analysis, ROI, Campaigns, SAS, SQL, R, Python, Google Analytics, Excel, Analysis, Customer Insight, Digital, Stakeholder Management, Strategy, Direct Marketing, Online, Tableau, Optimization, Segmentation, Regression, Modeling, Technology, Regression, Neural Networks, Machine Learning, R&D, Team Management

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98756/JK
Cambridge, Massachusetts
US$120000 - US$140000 per year
  1. Permanent
  2. Marketing Analyst

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‘Tis The Season Of Data: Black Friday Is Here

‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

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