Manager, Data

3 weeks ago


Toronto, Canada Mindshare Full time

**What your day job looks like at Mindshare**:

- Collaborate with clients, planning, digital specialists, and analysts to develop an understanding of needs
- Provide thought leadership in driving innovation and digital transformation agenda
- Manage all platform integrations including audience segmentation and integrations across different platforms
- Research and **devise** innovative statistical and machine learning models for data analysis
- Identify/gather required data sources to build models using both internal and external sources
- Educate and train analysts on advanced analytics projects and provide managerial oversight

**Responsibilities**
- Manage the backend for all digital reporting to analyze the performance results across channels, campaigns, platforms and segments, with a keen focus on automation
- Lead the development and execution of digital marketing and engagement strategy across multiple platforms
- Make data backed recommendations with actionable items that result in automation across all different reporting
- Utilize advanced analytics & modelling to study behavioral trends of the existing customer base and identify creative retention, up-sell, cross-sell, and reacquisition opportunities
- Alignment and orchestration of media data, technology, modelling, and measurement/analytics services to deliver client value
- Identify trends and provide recommendations for improving ROI and optimizing the marketing mix, utilizing cross-channel and offline-attribution methodologies
- Utilize customer data to better understand behavior in order to drive both engagement and sales
- Develop a Data strategy that will address existing and emergent business needs
- Design and implement database solutions in SQL, GCP & develop a data model and Data Lake design around stated use cases
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Define data modeling and design standards, tools, best practices, and related development methodologies
- Building custom trackers to capture all data sets required
- Analyze data for trends and patterns, and interpret data with clear objectives in mind
- Execute analytical experiments methodically to help solve various problems and make a true impact across various client industries
- Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the digital analytics team to strategize and execute the development of data products

**What you’ll bring**:

- Critical Thinker - using logic to identify alternatives, evaluate and present approaches to solve complex problems
- Communicate findings to all stakeholders, using relevant data visualizations
- Enable smarter business processes—and implement analytics for meaningful insights
- Keep current with technical and industry developments

**Minimum qualifications**:

- 5+ years’ experience in the marketing technology space
- Deep understanding of modern digital channels and platforms
- 3+ years’ experience in data architecture, data warehousing and data lake platforms
- Proficiency with data mining, mathematics, and statistical analysis
- Excellent communication and presentation skills with ability to communicate complex technical concepts to facilitate discussion and deeper levels of understanding across departments and to a non-technical audience
- Hands on experience implementing GA360, CRM platforms (Salesforce), and /or Customer Data Platforms (e.g. Segment), and /or user and product analytics (GA, Adobe), and /or DSPs
- Understanding of technical concepts and tools including tracking, measurement, attribution, data infrastructure, data integration, analytic modeling, campaign management
- Experience with Power BI, Tableau, SQL, and programming languages Python and/or R required
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects


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