3 Consumer Analytics Jobs

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

We are seeking a skilled Advertising & Performance Marketing Specialist -- Ecommerce to lead our digital campaigns and drive growth across quick commerce and e-commerce platforms. The role involves planning, executing, and optimizing high-impact performance marketing campaigns; managing budgets; collaborating with cross-functional teams; and ensuring strong partnerships with key platforms like Blinkit, Zepto, Amazon, Flipkart, and Swiggy Instamart. Key Responsibilities: Campaign Planning & Execution Develop and execute performance marketing campaigns tailored to quick commerce and e-commerce channels. Plan and implement platform-specific promotions, sponsored listings, banner ads, and co-branded campaigns. Collaborate with platform partners to launch exclusive offers and initiatives. Optimization & Analysis Monitor key campaign metrics (CTR, CPA, ROAS, conversion rates) and optimize continuously. Run A/B tests, keyword optimization, and creative experiments to improve campaign performance. Leverage analytics dashboards and data insights to identify trends, gaps, and opportunities. Budget Management Allocate budgets efficiently across platforms and monitor ROI daily, weekly, and monthly. Recommend budget adjustments based on campaign performance and business priorities. Report regularly on budget utilization and effectiveness. Collaboration & Coordination Work closely with creative and content teams to develop high-performing ad creatives. Align campaign objectives with sales, e-commerce, and supply chain teams. Ensure adequate inventory during campaigns and seamless cross-team execution. Platform & Market Analysis Stay updated on platform algorithms, ad innovations, and quick commerce trends. Conduct competitor benchmarking and consumer behavior analysis to refine targeting strategies. Use insights to recommend new initiatives and growth opportunities. Customer Retention & Loyalty Design targeted campaigns to re-engage dormant customers and encourage repeat purchases. Develop strategies to reduce churn and increase customer lifetime value. Account & Relationship Management Build and maintain strong relationships with quick commerce and e-commerce platform partners. Negotiate trade terms, promotional agreements, and pricing with stakeholders. Act as the primary point of contact for all platform-related advertising and marketing activities. Product Visibility & Merchandising Optimize product listings, search keywords, category placements, and digital shelf presence. Ensure accuracy and brand alignment in product descriptions, imagery, and pricing. Execute merchandising plans, bundling, and seasonal campaigns to maximize visibility. Sales Monitoring & Reporting Track sales performance across platforms and prepare detailed KPI and campaign effectiveness reports. Use analytics tools to recommend corrective actions to address performance gaps. Customer Experience & Feedback Monitor customer reviews and take steps to enhance ratings and resolve concerns. Ensure a seamless customer experience in collaboration with internal and external teams. Market & Competitor Intelligence Keep abreast of competitive activity and recommend strategies to maintain a market edge. Monitor quick commerce trends and customer preferences to stay ahead of the curve. Desired Candidate Profile: Must-Have: Proven experience in performance marketing and advertising for e-commerce/quick commerce platforms. Expertise in campaign planning, budget management, and analytics. Strong understanding of platform algorithms and consumer behavior in the digital retail space. Excellent negotiation and account management skills. Proficiency in analytics tools, Excel, and platform dashboards. Preferred: FMCG/Q-commerce experience. Experience with customer retention and loyalty campaigns. Knowledge of merchandising and inventory planning in an online environment.

Primary Responsibilities Generally, work is self-directed and not prescribed Build, maintain and prioritize a capability/product backlog Create and guide a prioritized roadmap through the capability life cycle of strategy, OKR/KPI alignment, definition, and delivery Own the creation of features and participate in Agile Scrum process alongside product owners and scrum team to ensure business vision and needs are accurately implemented and meet market expectations Work with cross functional business stakeholders to define/design industry leading, innovative solutions, and ensure alignment with the enterprise strategies and priority (e.g., capital/funding commitments, revenue commitments, capabilities, functional impacts, cross functional roles) Drive incremental value of the capability through improved predictive analytics and a focus on the member experience Work across teams (e.g., engineering, product, experience design, content, sales) and build partnerships to solve a myriad of complex user experience problems in creative, thoughtful, and scalable ways Oversee the development of your capability and be responsible for completion and deployment of an experience to the production environment, navigating the organization to remove roadblocks and communicating with transparency Work with cross-organizational product, dependent capabilities & capability managers to understand their strategic priorities and keep your Features in alignment with organizational goals Develop a deep knowledge of your product to drive design decisions and support the business by communicating your suite of available features Support the product by coordinating and driving to resolution product issues as they arise ensuring understood issue priority and communicating appropriately with transparency Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 10+ years working in a complex, matrixed organization 10+ years of experience with scrum and agile software development processes 8+ years of product management (or equivalent) experience Experience using data to analyze opportunities and outcomes to drive decisions Experience utilizing solid collaboration and communication skills to work effectively in a virtual environment Experience utilizing solid organizational skills Experience working with engineers and designers to create great user experiences Knowledge and understanding of how a product works from a technology lens with the ability to explain it (coding or drawing an architecture diagram is not necessary) Preferred Qualifications 3+ years knowledge with health industry and/or pharmacy 1+ years of experience using predictive and/or consumer analytics 1+ years knowledge of pharmacy & benefits pricing Experience with Aha and Rally Familiarity with delivery and fulfillment processes