Englewood Cliffs, NJ 07632
Location: Englewood Cliffs, NJ
Salary: $100,000 - 120,000
Contact: Paul Chatlos, [email protected]
For our company to remain competitive in the future, the business needs to continue its path to become data intelligent. The Information and Analytics team is responsible for building data, data science and analytics as a core capability to help the business become data intelligent and drive business and organization performance. The team will deliver advanced products at scale and work closely with the market teams to ensure that decisions in our company are augmented with insight & recommendations wherever possible.
Data Engineer There are five major themes to the Information and Analytics strategy:
-Deliver Intelligent systems at scale. Powering Business (cross functional) and Customer Development area through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science
-Winning disproportionately in Markets. We believe that the best way to move the needle for our company in Analytics is to work with leading geographies to create analytics products that make a significant impact on our business
-Drive our company to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
-Make data a true asset. Better data and data science access for every part of our company, across the 3 data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
-World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting.
Data Engineer Main Purpose of the Job:
The Data Engineer is a key member of the Information & Analytics team, responsible for transforming and modelling the data with the goal of discovering useful information and supporting decision making. He/she will report into the Lead Data & Analytics Solution Manager and will identify where, when, how and why the business uses data by democratizing data across the organization.
This role is a hands-on role meant to build-out our thought leadership around data and insight and to deliver clear value out of incremental internal/external data sets that can positively impact the business.
Data Engineer Key accountabilities:
-Support the Enterprise data & insight strategy for the company, including the transformation of the wider organization into a data driven team
-Partner with the Global Data Expertise Group and the local business users to define how data can drive value across the business.
-Execute the data & insights delivery plan - that includes commitments to:
-Democratization of Data across the whole organization
-Proactively identifying enrichment, growth and quality opportunities, unlocking innovation through experimentation
-Recommend and extract the value attributed to data as a critical organizational asset and competitive advantage.
-Priority areas include Data Quality, ETL, Data Integration, Data management and architectures, Data Transformation, Data Policy, External Data exploration
-Data sets include Consumer data, Shopper data, Finance Data, Supply Chain Data, Media and Market Share and extends to include all other data sets relevant for Customer development.
-Identify opportunities to apply diagnostic insights to data, aligning to the strategy.
-Consult on data components of projects with country / cluster wide impact; establishing data as a product, data as an enabler, then data as a service (and maybe eventually data as a business).