To You is a leading online Saudi food ordering and delivery super-app with one of the largest and most comprehensive networks of merchants across the Kingdom of Saudi Arabia. We seek to deliver all necessities across the Kingdom, whether they be from restaurants, supermarkets, pharmacies, or more.


At To You we aim to provide all our customers with a great experience by connecting them with thousands of merchants across Saudi Arabia, and we take great pride in our diverse team which represents different backgrounds, experiences, and visions. We truly value them and count them as a key factor to our success. So, if you are interested in joining a team full of intelligence, ambition, and great talent, To You is the right place for you.


**Location: Riyadh, Saudi Arabia (On Site)


Responsibilities:

• Conduct advanced analysis on various marketing efforts to gauge performance, impact and effectiveness against the desired results
• Act as the subject matter expert on marketing attribution with the ability to articulate results and the value proposition of marketing decisions
• Perform complex statistical analysis, prepare summary of findings, causes and present recommendations
• Analyze and extract relevant information about user acquisition funnel and behavior, from both structured and unstructured data, to better understand and enhance our media buying strategy and execution
• Partner with our technical teams to deliver a scalable long term attribution solution
• Mine data (structured & unstructured) to detect patterns, opportunities and insights that drive our user acquisition strategy and execution
• Manage and maintain a high level of modelling and analytical integrity
• Build and own all attribution and marketing mix models used to measure performance between offline and direct marketing channels
• Work with marketing groups to define success criteria for marketing campaigns across marketing channels
• Recommend A/B tests and experiments, and manage analytics testing queue based on broader company goals and strategy
• Analyse, review, diagnose and quality-check modelled results, in order to ensure the continued-value creation and business relevance of the marketing mix model
• Track and analyze attribution research to determine the accuracy and success of attribution strategies
• Design, develop and evaluate advanced predictive and models with a focus on media buying

• Develop and track key KPIs and communicate marketing and brand performance results

Requirements:

• BSc/MSc degree in Mathematics, Statistics, Computer Science, or related field
• 5+ years experience in Marketing Analytics or Analytics field
• Telecommunication/E-commerce/Delivery industry experience is preferred

• Strong SQL background (all join types, aggregate and window functions, CTEs, table management [DDL], etc.)
• Strong business foundation to apply data science methodologies to business problems
• Hands-on experience in applied mathematical/statistical algorithms, optimization methods and statistical & quantitative modeling
• Knowledgeable in market-mix modeling, ROI modeling, and modeling value and business cases
• Solid knowledge of marketing science techniques
• Experience with XML/JSON/APIs
• Familiarity with data visualization

• Superior problem solving and decision-making capabilities

• Understanding of enterprise level web analytics tools and underlying data (e.g., Mixpanel, Google Analytics 360, Web Trends)
• Experience in standard and advanced analytical methods including linear models, non-linear methods, time series, conditional likelihood methods, and adaptive modeling techniques
• Fluent in English (verbal & written)

What we offer:

• Competitive Salary
• Relocation package (if applicable)
• 21 Vacation Days plus Public Holidays
• Medical insurance for Employees & Families
• Flexible Benefit Program, including a variety of benefit options. The longer you stay with To You, the more benefits you can choose and enjoy
• Contemporary work environment
• Coffee & Tea in the Office
• Regular Team Meals

Applicants are kindly requested to submit their CV in English.


All applications will be treated in strict confidence.