Director Advanced Analytics

Chicago, Illinois
US$180000 - US$200000 per year

Director, Advanced Analytics
Chicago (with travel)
$180,000 - $200,000

Do you want to join a globally renowned strategy consultancy who promote exploratory analysis and pushing boundaries with data? If you want to join a rapidly growing team as their leader, working on advanced customer focused projects incorporating product, pricing, promotions and marketing initiatives using open source technologies, then this is the role for you. As the most senior level person within the US organization your core responsibility will be to be the face of business to the clients, designing and integrating first-class solutions to help them achieve their key business goals


This is a unique opportunity for an experienced senior advanced analytics professional to join a rapidly growing, advanced team specializing in a multitude of customer focused projects across multiple channels to increase sales, profitability and customer loyalty to really make their mark within this global consultancy. As a Director of Advanced Analytics, you will be:

  • Actively involved in building, maintaining and expanding existing client relationships across the US at C-Level, designing solutions that will help them achieve their business goals, as well as working with teams internally who will perform deep dive analysis using R, SQL and python, and implementing and integrating the solutions to maximize sales
  • Using your technical background to be able to work collaboratively with both technical and non-technical teams to optimize data across all channels of engagement to ensure that you are adding value to and building the strategic visions for your clients.
  • You will be seen as a voice of influence in the business taking full autonomy for the team's analysis, delivering insights and recommendations to executives as well as non-technical audiences. You must be a critical thinker, and able to apply complex analysis to wider business questions


  • Proven experience in a consultancy or advanced analytics environment, preferably within the Retail or CPG sector
  • Strong analytics capabilities in R and SQL/Python with the ability to build predictive models essential.
  • Ability to think critically as well as deliver key insights and recommendations to senior stakeholders and well as strategize collaboratively with a multi-disciplined team
  • Data driven with the desire to learn and develop new skills/analytics techniques


As a Director of Advanced Analytics, you can expect to earn up to $200,000 (depending on experience) + highly competitive benefits


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


SQL, R, Python, Predictive Modelling, Regression, Statistics, Excel, Marketing, Analysis, Customer Insight, Digital, eCommerce, Retail, Stakeholder Management, Strategy, ROI, Campaigns, Direct Marketing, Online, Tableau, Optimization, Segmentation, Modeling, Advanced Analytics, Machine Learning, Recommendation Models, Category, Pricing, Promotion, Assortment, Product, Innovation, CPG

Send similar jobs by email
Chicago, Illinois
US$180000 - US$200000 per year
  1. Permanent
  2. Statistical Analyst

Similar Jobs


US$90000 - US$100000 per year


Boston, Massachusetts


Do you have a background in pricing analytics, and a love for travel and how people choose to travel? If so, I have a great role for you!

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.

A Data Engineer is a Unique Blend of Data Professional

From startup and small business to large enterprises, each type of business requires a unique blend of Data professional. Though in today’s world, much of the Data being gathered, catalogued, and analyzed happens both in the Cloud and on a hard drive, each type of business has a different need, budget, goals, and objectives. But there is one thing each and every business will have in common. At the heart of the Data team will be a Data Engineer. The Three Main Roles of a Data Engineer This is an analytics role in high demand. It is a growing and lucrative field with steps and stages for nearly every level of business and education experience. For example, a Data Scientist interested in stepping into a Data Engineer role might begin as a Generalist. In all, there are three main roles for each level and type of business – Generalist, Pipeline-Centric, and Data-Centric. Let’s take a quick look at each of the roles with an eye toward the type of person who might be the best fit: Generalist – Most often found on a small team, this type of Data Engineer is most likely the only Data-focused person in the company. They may have to do everything from build the system to analyze it, and while it carries its own unique set of skills, it doesn’t require heavy architecture knowledge as smaller companies may not yet be focusing on scale. In a nutshell, this might be a good entry point for a Data Scientist interested in upskilling and reskilling themselves to transition into a Data Engineering role.Pipeline-centric – This focus requires more in-depth knowledge working with more complex Data science needs. This type of role is found more often in mid-sized companies as they grow and incorporate a team of Data professionals to help analyze and offer actionable insight for the business. In a nutshell, this role creates a useful format for analysts to gather, collect, and analyze each bit of Data at each stage of development.Database-centric – This role is found most often in larger companies and deals not only with Data warehouses, but is focused on setting up analytics databases. Though there are some elements of the pipeline, this is more fine-tuned. In a nutshell, this role deals with many analysts across a wide distribution of databases. A Fine Balance Between Technical Skills, Soft Skills, and Business Acumen While it’s important for anyone filing this role to have deep knowledge of database design as well as a variety of programming languages, its equally important to understand company objectives. In other words, once the groundwork is laid and the datasets established, it’ll be important to explain what it is the business executives need to know to make the best decisions for their business.  Knowing how and what to communicate to executives, stakeholders, and your Data team also means understanding how to best retrieve and optimize the information for reporting. Depending on your organization’s size, you may need both a Data Analyst or Scientist and a Data Engineer. Though this is less likely in medium and larger enterprises. On the flip side, in order to understand the business’ needs, you’ll also need to be good at creating reliable pipelines, architecting systems and Data stores, and collaborating with your Data Science team to build the right solutions. Each of these skills are meant to help you understand concepts to build real-world systems no matter the size of your business. One Final Thought… Do you like to build things? Tweak systems? Take things apart and see how they work, then put them back together better and more efficient than before? Then Data Engineering might be for you. Are you a business who knows you’re ready to scale up and hire a Data professional? We have a strong candidate pool and may have just the person you need to fill your role. Are you a candidate looking for a role in big Data and analytics? We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to

The Harnham 2019 Data & Analytics Salary Guide Has Arrived

We are thrilled to announce the launch of our 2019 Data & Analytics Salary Guide. With over 1,500 respondents across the USA, this year’s guide is 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 72% in the US willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates, on average, expect 10% more than they actually achieve when moving between roles.  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 US market is only 23% female, falling to 17% in Data Engineering roles and 16% in the Data Science space.  In addition to our findings, the guide also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copy of the guide here.

Recently Viewed jobs