Data Analytics Manager

2 months ago

Mississauga, Canada JTI - Japan Tobacco International Full time

**About JTI**

JTI-Macdonald Corp., established in 1858, is one of Canada’s oldest and leading tobacco companies employing approximately 500 employees across the country with the headquarters in Mississauga (Ontario), manufacturing facilities in Montreal (Quebec) and sales offices across the country.

JTI Canada is a member of Japan Tobacco International (JTI) producers of some of the worlds most recognizable tobacco brands. For the sixth consecutive year, we have been certified as a Top Employer ranked #3 in Canada and #1 in North America for 2023. In addition, JTI was certified a Global Top Employer for the ninth consecutive year among only 15 other Global Top Employers.

JTI is a leading international tobacco and vaping company, with headquarters in Geneva, Switzerland and an international workforce of 48,000 employees. Our world-renowned brands are available in over 130 markets. Though the tobacco industry is changing, JTI remains committed to provide adult consumers with a choice of a wide portfolio of quality products including those with the potential to reduce the risks associated with smoking.

**Data Analytics Manager - Head Office - Mississauga (12 months contract/12 months Development Assignment)**

**Position Purpose**:
JTI Macdonald Corp. is seeking a dedicated and motivated Data Analytics Manager with a strong proficiency in data modeling to join our dynamic team. As a Data Analytics Manager, you will play a critical role in the analysis and interpretation of complex datasets, ensuring accurate and efficient data modeling practices to drive informed business decisions. You will collaborate with multi-functional teams, including planning, field Sales, brand team, Excom, IT, and external data scientists, to find opportunities for data-driven insights and provide actionable recommendations.

**Responsibilities and Duties**:

- Design, develop, and maintain data models to support business requirements, ensuring the accuracy, integrity, and efficiency of data structures.
- Collaborate with partners to define data modeling objectives and translate them into effective solutions.
- Use advanced analytical techniques to identify patterns, trends, and relationships within large datasets.
- Implement robust data validation and cleansing processes to ensure data accuracy and consistency.
- Perform data profiling and anomaly detection to identify and resolve data quality issues promptly.
- Work closely with multi-functional teams to understand business needs, extract relevant data, and provide comprehensive analyses.
- Collaborate with planning, IT, and external data consultants to optimize data models and pipelines for efficient data extraction, transformation, and loading (ETL) processes.
- Develop and maintain reports, dashboards, and data visualizations to present key findings and metrics to partners.
- Ensure data visualizations are intuitive, insightful, and aligned with business requirements.
- Adhere to data governance standard processes, including data security, privacy, and compliance regulations.
- Contribute to the development and maintenance of data standards, policies, and procedures.
- Stay up to date with industry trends, emerging technologies, and standard processes related to data modeling and analysis.
- Proactively find opportunities for process improvement and propose innovative solutions to enhance data quality and operational efficiency.

**Required qualifications**:

- Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related field. A master's degree is preferred.
- Demonstrable experience in data analysis, with a focus on data modeling, preferably in a fast-paced and data-driven environment.
- Strong proficiency in data modeling techniques, including conceptual, logical, and physical modeling.
- Familiarity with data visualization tools (e.g., Power BI, Tableau, QlikView) to create intuitive and impactful visualizations.
- Proficiency in statistical analysis and data manipulation using programming languages such as Python or R is highly preferred.
- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Solid attention to detail and the ability to work with large datasets while maintaining data integrity.
- Effective communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical partners.
- Knowledge of data governance principles, data security, and privacy regulations is a plus.
- Proficiency in SQL and experience working with relational databases (e.g., Oracle, SQL Server, MySQL) is a plus.

**What to expect**:
Wellbeing initiatives, flexible work arrangements, growth opportunities (potentially globally), and excellent benefits. For more details on local policies, speak with the Talent Advisors.

**Next steps**:
After applying, if selected, you can anticipate the following within 1-3 weeks of the job posting clos

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