Job Description
This Revenue Growth Management (RGM) Lead Analyst role leads the creation of sales, market, and pricing insights and analyses that drive Moen’s go-to-market strategy with responsibility for growing profitable sales. In this role, you will analyze industry and customer data through internal and external sources, playing a key role in implementing data driven decisions. This role will integrate data from multiple sources to identify challenges, opportunities, and implications for achieving business goals across multiple channels (retail, commercial, eCommerce and direct-to-consumer). This position will effectively analyze and distill data into patterns and trends and develop clear and concise communications around key business insights.
Position location: This role is designated as a hybrid role which includes working at least 3 days per week (Tuesday, Wednesday, Thursday) in our main office located in North Olmsted, OH to foster better collaboration, connection, and innovation.
RESPONSIBLIITIES:
What you will be doing:
- Partner with Marketing, Sales, and Finance to understand business objectives and performance measures. Establish and lead Revenue Growth Management (RGM) analytics that include predicting and tracking results around pricing, promotions and assortment changes for Marketing, Sales, and Finance.
- Lead actionable, fact based, insight driven recommendations on pricing, promotions, and assortment for your cross-functional teams that lead to increased sales and profitability.
- Provide pricing expertise and thought leadership to your cross-functional team.
- Analyze customer, channel, and product market performance to inform pricing and channel strategy.
- Maintain and enhance existing strategic pricing guideline files to help facilitate ongoing identification of retail or list pricing risks and opportunities.
- Track planned and executed promotional activity. Collaborate with the Category, Sales, and Finance teams on a category promotional strategy for each business based on financial goals and evaluation of historical promotion performance.
- Lead internal customer line review process and analysis.
- Track and report on clear key performance indicators (KPI’s) and supporting reporting/dashboards to monitor performance of key initiatives and ensure attainment of revenue growth management objectives.
- Identify needs for new data sources and analytical tools. Develop new tools or modify existing tools to improve the efficiency and effectiveness of delivering key metrics and insights to our business partners.
- Apply relevant statistical tools to help build predictive models, improve customer segmentation, optimize product assortments, refine approach to pricing, and improve elements of the overall marketing mix.
- Influence the strategic decision-making processes made by partners in Marketing and Sales by defining, monitoring, and reporting ongoing key metrics from analyses; Continue to evolve key metrics as business strategies and objectives evolve.
- Establish processes and templates for Sales and Marketing team members to use to drive and measure the effectiveness of pricing, promotions, and programs.
- Provide support in annual business planning process, category & channel management, and customer portfolio selection as needed.
Qualifications
- Bachelor’s degree in business, economics, finance, statistics, or related field; master’s degree preferred.
- 7-10 years of business experience, including a minimum of 3 years in RGM, Marketing, Sales, Finance or Pricing. 10+ years of total experience preferred.
- Ability to calculate and articulate the calculation and impact of business metrics to a general audience (e.g. Gross & Net Margin, ROI, CAGR, and Price Elasticity).
- Proficient in the use of Microsoft Office Suite with advanced Excel skills.
- Experience developing solutions using large volumes of data; creating predictive models, using applied statistical analysis such as regression, classification, and clustering.
- Experience collaborating in a team environment cross-functionality and across all levels of the organization as a key contributor and voice to many aspects of the business.
- Proven history of influencing stakeholders to drive decision making and consensus building.
- Excellent interpersonal, communication, and presentation skills with experience presenting and translating data into decision-ready insights.
PREFERRED QUALIFICATIONS:
- Experience in market modeling and price elasticity in a retail environment strongly preferred.
- A strong process improvement background (e.g. Lean Six Sigma Black Belt) is preferred.
- Experience using data preparation/transformation tools (e.g. Alteryx or Talend) preferred, experience with advanced analytics tools a plus.
- Experience with business intelligence and visualization tools (Tableau a plus).
- Experience developing Use Cases or User Stories is a plus.
- Demonstrated ability to multi-task and accept changes in direction or priorities quickly.
- Demonstrated ability to effectively solve problems despite complexity and uncertainty (high quantity, conflicting, and/or missing data).
- History of delivering results with a high level of detail, accuracy, and accountability.
- Demonstrated sense of urgency and ability to persevere to reach objectives for challenging problems.
- Demonstrated passion for learning and adoption of new technology.