Salesforce CRM Analytics Developer

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Job Description - Salesforce CRM Analytics Developer



At Maple Leaf Sports & Entertainment Partnership (MLSE), we are committed to creating an inclusive workplace that is representative of our community and where all employees feel they belong and can reach their full potential. We are Canada’s preeminent leader in delivering top quality sport and entertainment experiences and one of North America’s leading providers of exceptional fan experiences. We are the parent company of the National Hockey League’s Toronto Maple Leafs, the National Basketball Association’s Toronto Raptors, Major League Soccer’s Toronto FC, the Canadian Football League’s Toronto Argonauts and development teams with the Toronto Marlies (American Hockey League), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

MLSE owns and/or operates all the venues our teams play and train in, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. We also provide fans in Toronto with incredible live music and entertainment events, as well as exceptional culinary experiences through our restaurants (e11even and RS) and clubs (Hot Stove Club, ScotiaClub and Platinum Club). Through MLSE Foundation, we have invested more than $45 million into Ontario communities since 2009 and with MLSE LaunchPad, we provide a place where youth facing barriers use sport to recognize and reach their potential.

We achieve all of this through our Common Purpose - to unite and empower our employees to create extraordinary moments for our fans and each other. Come be a part of the team.

Job Description



At MLSE Digital Labs, we are passionate about using technology to deliver a value-centric experience throughout sports and entertainment, regardless of whether the customer is an internal or external consumer of what we build. As part of Digital Labs, the Customer Data and Relationship Platforms team applies that approach by combining technology and data to improve our interactions with our customers. This directive is critical to the ongoing success of MLSE’s core business and the growth and expansion into new business opportunities

  • Design impactful, attractive, compelling solutions using CRM Analytics.
  • Architect data and transformation processes, including dataflow and datasets, as well as create dashboards.
  • Use a Data Prep recipe in CRM Analytics to clean, transform, and enrich data before loading data into one or more targets.
  • Partner with the Salesforce Admins and Developers to ensure all development meets enterprise standards.
  • Support BI Team with data analysis, statistical models, reporting insights, automation, dashboards and performance measurement to assist in developing business strategies.
  • Establish KPIs and success metrics for initiatives, products, and services, supervising the design and delivery of reports and insights.
  • Ability to display complete quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.

Qualifications



Note: Before reviewing the

qualifications

listed below, we want you to know that we understand you may not meet all the

qualifications

described and have other relevant expertise and experience.  We invite you to please share this with us in the "Message to the Hiring Manager" section of our online application. 
  • Certified in Tableau CRM & Einstein Discovery Consultant.
  • Experience with visualization tools such as Microsoft Power BI or Tableau.
  • Advanced knowledge of writing complex SQL and SAQL queries and working with various Databases.
  • Experience programming in data-focused languages like Java, Python, or R
  • General knowledge in Salesforce (Sales Cloud, Service Cloud, and Marketing Cloud).
  • Experience with data preparation and transformations, ETL development, data modelling, data warehousing, and databases in a business environment with large-scale, complex datasets.
  • Knowledge of conceptual modelling, metadata, reference data management, data quality and analysis.
  • Team first, positive, people-oriented, and energetic attitude.
  • Proven experience and ability to lead complex projects.
  • Experience in consulting or project management is considered an asset.
  • Superb communication skills and ability to explain sophisticated insights to a non-technical individual.

Additional Information



Apply by: June 18th, 2024

We thank all applicants for their interest, however, only those selected for an interview will be contacted. 

At MLSE, we are committed to building an equitable, diverse and inclusive organization.

We are an equal opportunity employer and we do not discriminate on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email . Please note this email is only for accommodation requests. Resumes sent to this email address will not be considered. 

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