Senior Analytics Product Management & Insights Analyst - Sales & Marketing

Niagara Bottling•Diamond Bar, CA

About The Position

The Senior Analyst of Analytics Product Management & Insights is a senior individual contributor role. This role will play a critical role in Niagara’s data-driven transformation by supporting value-focused analytics products and delivering actionable insights. This role will collaborate closely with cross-functional teams to analyze business data, identify use cases, develop business cases, design solutions, optimize decision-making, and contribute to the seamless integration of analytic products into operations. Analytics Product Management & Insights, as part of the larger Data and Decision Intelligence team, is pivotal in defining the future of Niagara’s decision-making framework, ensuring a competitive advantage across various business functions such as Sales & Marketing, Supply Chain, Manufacturing and Finance. The role serves as a stepping stone to more specialized analytics or leadership positions.

Requirements

4+ Years – Experience in Technology Consulting or Data Analytics
4+ Years – Experience in or supporting Operations/Strategy
4+ Years – Experience managing projects experience may include a combination of work experience and education
Business & Process Understanding: Deep comprehension of business processes, functional digital capabilities (Sales & Marketing), and high-quality analytics delivery.
Growth Analytics - Trade Promotion Optimization (TPO), Pricing & Pack Elasticity Modeling, Promo Impact Analysis or Media Mix modelling.
Product & Project Management: Skilled in managing roadmaps, backlog prioritization, release planning, sprint metrics, and cross-team coordination while ensuring business value-driven outcomes.
Strategic Alignment & Decision Support: Ensures analytics products and strategies align with organizational goals, driving informed decision-making.
User-Centric Approach: Deep understanding of customer journeys, UX/UI principles, and empathy-driven engagement to create impactful analytics products.
Business Agility & Problem-Solving: Think-big, fail-fast mindset with strong analytical and problem-solving skills to identify root causes and drive effective solutions.
Effective Communication of Insights/Storytelling: Translate complex data findings into understandable and actionable insights for both technical and non-technical stakeholders, using storytelling to influence decision-making. Needs to have curiosity to learn and master stakeholder's domain expertise.
Data & Visualization Proficiency: Expertise in analytic tools, data mining, visualization, and prototyping using tools such as Power BI, Tableau, Looker, Oracle Analytics Cloud, SQL, and MS Excel (VBA).
Technical Acumen: Strong foundation in statistical modeling, machine learning, linear programming, data engineering, data governance, etc.
Bachelor's Degree in Supply Chain/Information Technology/Business Analytics/Systems Engineering/Data Science or other related field

Nice To Haves

6+ Years– Experience in Technology Consulting or Data Analytics (Sales Analytics)
6+ Years – Experience in or supporting Operations/Strategy
6+ Years – Experience managing projects experience may include a combination of work experience and education
Master's Degree in Sales & Marketing/Supply Chain/Information Technology/Business Analytics/Systems Engineering/Data Science or other related field
APICS CPIM/CSCP, PMP PMI

Responsibilities

Own the lifecycle of analytics products, including inception, development, maintenance, documentation, and enhancements focused on Sales & Marketing.
Partner with business stakeholders to gather requirements and translate them into analytical solutions.
Lead detailed data analysis to identify trends, patterns, and opportunities for business improvement.
Generate and present insights to stakeholders to enhance decision-making and operational efficiencies.
Lead or assist in Design Thinking & Hackathon workshops to support problem-solving, prioritization, and idea generation for analytics initiatives.
Collaborate with the Enterprise Data Foundation and Data Science teams to implement analytics solutions effectively.
Apply Agile methodologies in delivering Minimum Viable Products and iteratively scaling solutions for business value.
Utilize data visualization tools (e.g. Power BI) to translate complex data into clear and actionable visualization of insights.
Maintain and prioritize analytics initiatives in collaboration with the team, ensuring alignment with business objectives.
Coach and train junior analysts and lead knowledge-sharing initiatives to enhance data literacy within the organization.
Continuously monitor and evaluate the effectiveness of analytics solutions, identifying areas for improvement.

Benefits

Paid Time Off for holidays, sick time, and vacation time
Paid parental and caregiver leaves
Medical, including virtual care options
Dental
Vision
401(k) with company match
Health Savings Account with company match
Flexible Spending Accounts
Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
Tuition reimbursement, college savings plan and scholarship opportunities