Job Description
JOB SUMMARY:
As a Sr. Data & Insights Specialist, you will serve as a senior subject-matter expert in transforming data into growth strategies that shape the future of LALA US. With more than 70 years of dairy heritage and a fast-growing U.S. presence, LALA is uniquely positioned to accelerate growth by pairing consumer insights with rigorous analytics.
In this role, you will mine data across consumption, competitive activity, pricing, and innovation to uncover opportunities that drive brand and business growth. You will provide strategic insights that not only inform brand strategies and innovation but also strengthen our customer partnerships by helping build compelling, data-driven sales stories.
Working closely with marketing, sales, finance, and insights teams, you will ensure LALA has the right analytical foundation to forecast demand, track performance, and seize market opportunities.
RESPONSIBILITIES / DUTIES:
Consumption & Forecasting
- Lead rolling 4-week consumption analyses across the branded portfolio.
- Provide expert data support for monthly consumption forecasts, ensuring accuracy and alignment with business goals.
Growth Opportunity Identification
- Mine syndicated and internal data to uncover white-space opportunities, demand shifts, and category growth drivers.
- Partner with sales to translate insights into compelling customer stories that drive distribution, merchandising, and promotional support.
Competitive & Market Insights
- Analyze competitive activity, market share trends, and brand drivers to inform strategic decisions.
- Benchmark pricing and promotional strategies versus competition to optimize LALA’s positioning.
Innovation Analytics
- Build and refine innovation forecast models using historical and syndicated data.
- Establish KPIs and dashboards to measure innovation execution and in-market performance.
Strategic Data Support
- Deliver actionable insights to guide brand strategies, innovation initiatives, and go-to-market plans.
- Collaborate cross-functionally to ensure data-driven decision-making across marketing, sales, and commercial planning.
Brand Planning & Long-Range Planning (LRP)
- Provide data and insights to inform the annual brand planning process, ensuring alignment with portfolio and business objectives.
- Support the LRP process with robust trend analyses, consumption forecasts, and scenario planning to guide long-term strategy.
- Build data-driven models and presentations to support strategic discussions with senior leadership.
WORK EXPERIENCE / KNOWLEDGE:
- Bachelor’s degree in marketing, Business Analytics, Statistics, Economics, or related field; advanced degree preferred.
- 15+ years of experience in data analysis, business analytics, or marketing insights, ideally within CPG. Experience in Dairy and Hispanic segments preferred.
SKILLS / OTHER PERSONAL ATTRIBUTES REQUIRED:
- Proven expertise with syndicated data sources (e.g., Nielsen, IRI, Circana) and strong proficiency in Excel, Power BI, or similar tools.
- Demonstrated ability to mine complex datasets, identify growth opportunities, and build actionable recommendations.
- Strong understanding of CPG market dynamics, including consumption drivers, retailer performance, competitive benchmarking, and pricing strategy.
- Exceptional communication and storytelling skills—capable of turning insights into compelling sales narratives and influencing senior stakeholders.
- Advanced PowerPoint skills with the ability to craft persuasive, customer-ready presentations.
- Highly detail-oriented, intellectually curious, and comfortable working in a fast-paced, growth-oriented environment.
- Agile, collaborative, and driven to deliver results with measurable business impact.
WORKING CONDITIONS:
- Normal office environment with little exposure to noise, dust and temperature fluctuations
- Ability to lift 10 pounds as needed
- Primarily a standard work schedule, with flexibility required based on business needs.
- 3 days in office, 2 days remote flexible schedule
Job Tags
Full time, Work experience placement, Work at office, Remote work, Flexible hours, Shift work,