Analyzes, measures, and facilitates optimization of our marketing return on investments and tactics across multiple channels. Drive excellent practices and technical standards for establishing KPIs and goals for Marketing, developing information suites (Dashboards, reports, visualizations) fit for C-level consumption, and marketing campaign tracking and measurement.
Leverage machine learning models to address key growth challenges such as lifecycle marketing, predictive LTV, cross-channel spend allocation, response modelling, campaign/channel performance measurement methodologies, Program effectiveness and media attribution.
Develop and improve marketing mix and A&P models and frameworks to assign credit for traffic and conversions across a variety of Marketing channels and touchpoints.
Leverage Philips’ data to scale our ability to optimize marketing across the customer journey to optimize return on investment through analysis, modelling, experiments and pre-post analyses.
Develop and implement marketing data management practices
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics - Mandatory
Ability to share dashboards, reports, and Analytical insights from data – Mandatory
Technical Knowledge and Skills required
Econometrics, Market mix modeling, some Operations research and affinity modeling experience is mandatory
Track record in delivering strong and impactful; competitor and market tracking insights
High affinity with applying new IT platforms / dash boarding software tools for reporting and Experience in a consumer focused, complex, matrixed, multinational environment, e.g. consumer goods, online services, e-commerce, or mobile applications
Competitor insight generation
Strong background into Database design, modeling and architecture – preferred Fluency in web analytics and deep technical understanding of how data are created from first party and third-party web beacons
Proficiency with R and/or Python libraries commonly used in data science
Soft Skills Required
Good communication and presentation skills
Highly driven, energetic, flexible, resourceful & ability to multitask
Clarity of thoughts and vision
Ability to ideate and bring solutions to the table
Adherence to timelines, without sacrificing quality of output
Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders at Exec and Director levels
Straightforward, honest and succinct communicator. Can organize, clarify and communicate complex ideas quickly, succinctly and accurately.
Creative. Demonstrated ability to think innovatively—connecting the dots where others cannot when it comes to consumer/ customer and user data to create business building insights
Minimum 8-11 years of increasingly responsible experience in high impactful marketing analytics individual contributor roles
Can be from e-Commerce companies like Amazon, Flipkart etc.
In depth knowledge of multivariate statistical techniques including marketing mix modeling, attribution modelling, TURF, RAD, clustering, churn, customer scoring, neural networks amongst others
High affinity with AI powered insight tools and engines and application of data science to marketing problems
Rich experience in Marketing analytics with a strong understanding of the full range of online marketing channels, how they work, how they can be integrated, and how to evaluate them
Master’s degree in a quantitative discipline, e.g., Math, Statistics, Physics, Operations Research, Economics, Econometrics
MBA /BTech-BE from IIT/NITs or Tier 1 engineering schools only, , MS Analytics from Tier 1 schools; special preference to MBA from Mudra Institute of Communication, Ahmedabad or MBA schools that excel in Marketing
Strong exposure to Statistics – Predictive Analytics – Mandatory