Senior Manager, Insights Analytics
pladis GlobalAbout the role
Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing heavily in iconic global brands, infrastructure and people? Then this is the place for you.
As proud bakers and chocolatiers and custodians of iconic global brands, we don’t compromise on the quality of ingredients in our products or on the people we hire. We are looking for entrepreneurial spirits who share our passion for bringing happiness to our consumers and who embody our Winning Traits.
To succeed at pladis you need to be purpose-led, resilient and positive to succeed here because we expect pace and agility, we insist on collaboration and demand accountability. If that is your thing, then pladis offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact
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PURPOSE:
As the Sr. Manager of Insights Analytics, you will use your curiosity, creativity, and strong analytical ability to turn data into strategic insights to enable growth at pladis. You will be a key member on the insights team, reporting to the Head of Insights. Given your expertise, you will be working with all levels, including exposure to Directors (Heads/Leads) and above.
You will be building out the Analytics capabilities and subfunction for pladis Americas. This role will unlock mastery in Analytics and strong business understanding to guide fact-based strategic commercial decisions (Equity, Innovation, Shopper, and Commerce). Your analytical and leadership skills will stretch beyond the data, and will build the “what, so-what, now-what” narrative that will drive action and impact business growth.
KEY ACCOUNTABILITIES AND DELIVERABLES
Develop a high performing Analytics Branch within Insights
Introduce analytical programs and dashboard reporting to the function and it’s partners (Inclusive of Circana, Numerator, Marketing Mix, matched market tests, and other syndicated reports, etc)
Actively seek opportunities to showcase research/learning on high-value topics to key commercial business partners (Shopper, Innovation, Equity, Sales, etc)
Engage with stakeholders to assess business needs and understand how analytics affects the broader business, bridging the gap between data insights and business stakeholders with regular and clear communication
Identify opportunities and implement commercial marketing mix and digital performance marketing tools to measure the impact of consumer marketing plan and tactics (e.g., coupons, samples, discounts/promotions, point-of-sale and aisle displays, packaging design, shelf placement, etc.)
Guide business strategy and in-market execution by unlocking growth insights
Be the SME of syndicated and retailer point of sale data, loyalty card data, and 1P data sources
Proactively monitor external consumer, category, and competitive landscape to assess business performance and identify opportunities for growth
Work with business partners to understand and explain business drivers, competitive challenges and forward-looking opportunities for growth, short term and long term
Develop competitive intelligence through monitoring and analyzing consumer shopping trends, purchasing behaviors, price/discount sensitivity, brand/retailer loyalty, etc.
Lead business reviews, and Director meetings
Partner with key cross functional partners in Brand Management, Finance, Sales, and Strategic Revenue Management to optimize total commercial investment
Partnering with cross-functional teams to help identify relevant business issues, research objectives and hypotheses to address key category/brand questions and needs.
SKILLS AND EXPERIENCE REQUIRED
Ability to synthesize multiple data sources to build and tell a fact-based story culminating in actionable insights, such as triangulating POS, Panel, and Qualitative data
Ability to work collaboratively with internal stakeholders and external vendor partners
Experience designing foundational behavioral insight studies such as purchase based segmentations, source
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