Marketing Analytics Business Partner

2 months ago


Edmonton, Canada Rohit Group of Companies Full time
Marketing Analytics Business Partner

We are seeking a Marketing Analytics Business Partner to join our Edmonton team who will have the opportunity to make a meaningful impact on our data management pipeline at the enterprise level (supporting all divisions) and contribute to our organizational business planning process. This position reports directly to the Enterprise Marketing Manager.

About Us:

At Rohit, we believe that bravery is bold. We have a singular vision: Expand across North America, enriching the communities that we serve. We will achieve this by taking a bold and uncompromising approach. Since our market introduction back in 1986 by the Gupta family, we have expanded across Canada to become a vertically integrated enterprise with over $1B in assets under management. Moreover, we have established ourselves within multiple Canadian markets from east to west, creating value through our real estate subsidiaries, including Rohit Communities, Rohit Homes, Rohit Rental Living, Rohit Commercial, and Rohit Health.

Rohitians have three traits in common – fit, grit, and talent. We seek candidates who face challenges head-on and are eager to tackle some of the industry’s most exciting projects while bravely embracing work that is challenging, dynamic, and fulfilling, responsibly placing community at the heart of everything that we do. In short, by being bold, we go further.

Role Overview:

The Marketing Analytics Business Partner oversees execution of the entire data management pipeline for marketing and sales activities at the enterprise level (supporting all divisions), working closely with other key stakeholders, including the MarTech Partner and various Business Analysts from across the organization. They will also play a key role in contributing to organizational business planning processes over a multi-year horizon.

The domain, or categories of data, managed by the Marketing Analytics Business Partner, includes market data, product data, sales data, customer data, marketing platform data, and advertising data.

Strategic areas of focus for the Marketing Analytics Business Partner, includes (but is not limited to) determining marketing attribution, price-optimization, customer segmentation, marketing platform enhancement (supporting recommender engine development, chatbot enhancements, etc.), and contributing to monitoring outcomes relating to business planning objectives.

Qualifications:

Education:
  • Bachelor’s Degree: In marketing, business administration, statistics, economics, or a related field.
  • Advanced Degree (optional but beneficial): A master's degree in marketing, data analytics, or business administration can be advantageous.

Knowledge, Skills, and Experience:
Work Experience: 5+ years of experience in marketing, data analysis, or a related field, with particular experience with marketing campaigns, market research, or data analysis projects.
  • Analytical Skills: Ability to interpret data, identify trends, and make data-driven decisions.
  • Statistical Knowledge: Understanding of statistical methods and tools.
  • Technical Skills: Proficiency in data analysis software (e.g., Excel, SQL, SAS, R, Python).
  • Marketing Knowledge: Understanding of marketing principles, strategies, and metrics.
  • Communication Skills: Ability to present findings and recommendations clearly to stakeholders.
  • Problem-Solving Skills: Ability to identify and solve marketing problems through data analysis.

Key Responsibilities:

Business Case Development and Delivery
  • Assessing organizational needs and producing business cases for executive approval specific to data collection, storage, analysis, reporting, and automation.
  • Lead business case implementation, including project planning and scoping, team development, milestone delivery, budget management, and operational delivery.

Managing Data Collection / Intake
  • Defining data requirements, standards, and validation checks to ensure consistency and quality data that can be used for analysis (type, structure, labels, frequency of collection, etc.)
  • Identifying and mapping data sources (internal databases, warehouse, external APIs from various systems, etc.)
  • Identifying appropriate data collection methods, moving towards solutions surrounding automation.

Collaborating to Manage Data Storage
  • Working with the MarTech and Growth Specialist, IT, and other stakeholders, evaluate data architecture, as well as assess organizational data storage needs.
  • Working with the MarTech and Growth Specialist, IT, and other stakeholders, researching and recommending data storage solutions based on business requirements, organizational maturity, security, and other key considerations.
  • Analyze data growth patterns and forecast storage requirements, proactively planning for scalability.
  • Contribute towards disaster recovery planning, including back-up recovery plans, ensuring business continuity.

Data Engineering
  • Collaborating with IT, and various stakeholders, developing ETL workflows and data pipelines, ensuring optimal data movement and transformation throughout the process.
  • Collaborating with IT, and various stakeholders, developing algorithms and scripts to clean, transform, and preprocess raw data into usable formats, ensuring data quality and integrity.
  • Integrating data from various sources.

Data Analysis, Reporting, and Activation
  • Engaging in exploratory data analysis, analyzing raw data to identify patterns, trends, anomalies, and providing insights into the data landscape.
  • Implementing descriptive analysis to interpret data and uncover relationships, patterns, and trends.
  • Conducting predictive analysis, determining likelihood of future outcomes, by leveraging advanced analytics techniques to analyze patterns, trends, and relationships within datasets.
  • Leveraging various platforms, such as Power BI, to visualize data and build dashboards to tell the story behind the data.
  • Developing business recommendations based on data analysis and reporting findings.

Data Governance
  • Obtaining necessary permissions for data use, ensuring compliance with legal and ethical standards.
  • Writing, as well as updating, procedures and process throughout the data management and lifecycle pipeline.
  • Assigning data ownership responsibilities to ensure accountability and stewardship; however. Also serving as a data steward where required.
  • Implement and manage data access controls, defining permissions and restrictions by function and line of business.
  • Establish data lifecycle management standards, developing strategies for data retention, archiving, and deletion, optimizing storage efficiency.
  • Other Duties as Needed

Why Join Us:
  • Culture: Be part of a company that values innovation, bravery, and excellence.
  • Impactful Work: Play a key role in shaping the future of our organization and the communities we build.
  • Supportive Environment: Work with a team of dedicated professionals who are committed to your success.

How to Apply:

If you are ready to take on this challenge and make a significant impact, we want to hear from you Explore RohitGroup.com/careers and submit your resume and a cover letter detailing your experience and why you are the perfect fit for this role.

Rohit Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Don’t just work a job, make your mark.

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