Int. Business Data Analyst (Business Reporting Analyst) - 35834067 - ref. w18704023

Int.

• 35834067 Duration: 4 months and 14 months Location: Hybrid
• Toronto - 3 days a week (Mon-Wed) Must Have Skills: 3-5 years' experience working strategically with data in the areas of: business analysis, marketing performance optimization, audience building, cross-channel and product analytics Experience with tools like Tableau or Qlikview Hands-on working knowledge on media and analytics platforms like Adobe Analytics and Google Analytics Advanced Experience with SQL and other RDBMS databases required Data Science, Predicitive Analytics, A/B testing .

Causal inference techniques Experience analyzing clickstream data Strong story telling experience Experience leveraging Databricks Experience preparing data sets and reports to support more complex analysis A strong client partnership or consulting mindset to interact effectively with technical and non-technical partners Ability to clearly present complex data, the context surrounding it, and the implications to business stakeholders Responsibilities: Collaborate with Product Development, Experience Design, Finance, Marketing and other internal and external cross functional teams to provide data driven insights for in-product initiatives and strategic priorities.

Responsible for analyzing large quantities of customer-centric data to uncover key insights and provide recommendations that business can leverage to execute marketing initiatives Develop and implement reporting solutions including custom reports, ad-hoc queries and data exports from various applications to support analytical objectives Collaborates with business stakeholders in acting on complex, multi-source data to explore, generate and test business assumptions Recommends/sets data standards to improve quality of data and speed of analysis Create and manage business processes and applications for acquisition, processing, and management of large quantities of data using high-level programming languages Develop and maintain detailed documentation for key analytics processes Partner with Data Architects on changes associated with data systems or system interfaces Collaborates with others in building innovative data capture and real-time analytic capabilities needed by the business (e.g.

requirements identification, design specification, prototype testing) Interview Process: 1st round 30 minutes.

• On SQL primarily.

Knowledge of Data Engineering practices include ETL processes would be valuable.

2nd round: 75 minutes.

First 15 minutes Showcasing their previous work of 1-2 specific projects they are proud of (examples that included the preferred skills required would be great to showcase).

Last 60 minutes are walking through the case Apply