Salary: $105,000.00 – $130,000.00

Client is seeking an IT Data and Analytics Manager to join their team.

As a Data and Analytics Manager, you are a Business Leader: You need to be an effective communicator, self-motivated, and able to drive insights into actions that improve ourbusiness results. You’ll need to mine terabytes of data, derive actionable insights, and translate complex results or algorithms into simple conclusions that will empower others to take action to win with consumers. You will be the primary evangelist to the business for the power of predictive analysis and develop business cases to illustrate the “step-change” in decision-making that occurs when you begin to anticipate what will happen, versus just reflecting on what has occurred. Business knowledge, interpersonal, and communication skills are therefore a must to thrive in a multi-functional leadership team.

We are currently looking for Data and Analytics Managers for two roles:

Data Analyst – The Role

You will deliver analytic insights in several business domains (consumer, customer, digital, etc…). With a combination of analytical expertise, data and system knowledge and business acumen, you’ll answer and anticipate critical business questions and opportunities and deliver critical insights to the business in ways that make significant impacts to the business. You’ll leverage data visualization (Spotfire), and analytic tools (R, SAS, JMP, Python, etc) to grasp the business building insights in our mountains of data.

Trade Spend Analyst – The Role

You will optimize store promotion plans leveraging multiple data sources and analytical models. You’ll perform financial/marketing/promotion analytics and make recommendations back to key stakeholders. You should understand when, how, and where to directly use, to adjust, or to estimate Price & Promotion data to fit the business case being studied. You’ll leverage data visualization (KNIME, RapidMiner, Tableau, Spotfire, etc.), and analytic tools (R, Python, C++, Java, Scala, etc.) to grasp the business building insights in our mountains of data.

As a business analyst you will be a part of an award winning Business Intelligence community that is Global in scope, and operates across all of our core disciplines.

IT  is where business, innovation and technology integrate to create a competitive advantage. Our mission is clear — we deliver IT to help uswin with consumers. You are a diverse business leader who applies IT mastery to deliver game-changing, technology-driven business models and capabilities. Whether your role is to create an IT innovation strategy for a business, protect our critical information systems and assets, or manage a strategic supplier in our cutting-edge shared services organization, your technical mastery will be recognized and rewarded. Your passion for the industry will be further cultivated by our culture of continued learning and growth as an IT professional. Your career in IT builds change in leadership and influence skills, breadth of experience across multiple businesses, and depth of expertise in areas like Application & Integration, Infrastructure, Data & Analytics, and Security & Risk.

We are looking for leaders who have graduated with a BS, MS/MBA, or PHD in Business/Management Information Systems, Computer/Systems/Industrial Engineering, Computer Science, Business Analytics, Data Science, Programming/Software Development, Operations Research or Statistics who have:

  • Strong written and verbal communication skills to influence others to take action
  • Adept at leveraging Analytics technologies and tools for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions and actionable insights.
  • Demonstrated ability to handle multiple priorities
  • Experience in CPG/FMCG or retail sales is preferred but open to other industries with demonstrated track record of business analytics mastery
  • Minimum 5 years relevant experience in Data & Analytics:

– Syndicated point of sale, (“scanner”) household panel data

– Operations Research modeling or specialty area of research

– Ebusiness or social media platforms


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