Run analysis, reports and more to better understand and improve sales, profitability and process efficiency for internal customers.
Draw actionable insights from varying data sets: consumption, market share, among many others.
Interpret complex datasets to tell stories and develop an organized set of conclusions/recommendations that can be easily digested by a broad audience.
Build partnerships with cross-functional teams to understand trends and opportunities for improvement, address customer needs and product pain-points.
Collaborate with key partners to build automated reporting through Excel, BI Platforms, visualizations, and analytical models.
In partnership with other members of the team, collaborate with Sales, Category Management, and Supply Chain to support/optimize innovation launches and promotional strategies.
Participation with sales results, annual planning, and forecasting processes.
Support the continued enhancement and evolution of Newell’s analytics capabilities to a best-in-class level.
Stay up to date on industry trends/innovations and drive new analytics initiatives that contribute to business goals.

Requirements

Bachelor’s degree.
1-5 years of direct hands on-Retail/ CPG experience providing solutions in a large global company.
Experience with data modeling tools such as PowerBI, Tableau, Qlik is preferred.
Preferred experience with systems such as 1010, Dunnhumby, 84.51.
Skill with Microsoft Office applications for the creations of reports, presentations and analysis including Excel functions, formulas, pivot tables, and Power Pivot.
Strong business acumen with an analytical and problem-solving mindset.
Familiarity with financial concepts preferred (promotional lift, profitability, inventory levels, etc.).
Ability to operate in a matrixed team environment with deadlines & deliverable dates shifting around.
Intellectual curiosity for digging into the underlying story to be told with data.
Strong verbal and written communication skills; ability to communicate technical information to both a technical and non-technical audience.
Experience synthesizing different data sources to drive to logical, concise, and actionable conclusions.
Experience using POS Sales data alongside other data sources such as invoice, product margin, and supply chain to provide a holistic program for retail growth, preferred.
Understanding of analytical processes including but not limited to data management, forecasting, optimization, predictive modeling and visualization.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata modelingpredictive modelingdata managementforecastingoptimizationvisualizationExcel functionspivot tablesPower Pivot

Soft Skills

analytical mindsetproblem-solvingbusiness acumenintellectual curiositycommunication skillscollaborationadaptabilityteamworkstorytellingattention to detail

Certifications

Bachelor's degree