Business Intelligence Marketing Analyst Jobs in Manitoba

Strong organizational and time-management skills with the ability to prioritize a varied workload

Create and manage statistical models that forecast performance, rates and trends, and share results with channel/product/campaign owners and Senior Management

Translates functional requirements into technical specifications needed to implement and deliver required reports and outputs

Experience understanding and working with complex SQL queries developed by others

Business Intelligence (BI)/Data Analyst– Mandatory Skills

Business Intelligence (BI)/Data Analyst- Preferred Skills

Work with the Data Engineering team to provide high-quality data requirements.

Has strong data ETL pipeline development and data visualization experience.

Has 8+ years of work experience as a Business Intelligence Engineer, Data Analyst, Product Analyst, or a similar role.

Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward actionable insights.

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)

Grammarly is excited to offer a

Experience with relational databases and/or writing SQL queries

Experience designing, building and managing relational database within environments such as Snowflake

Knowledge of additional programming languages such as Python or R is desirable.

Proficiency in SQL for data retrieval and manipulation, and experience working with databases such as Snowflake, PostgreSQL, or similar.

Proven experience as a Business Intelligence Analyst or similar role, with a strong understanding of data analysis techniques, methodologies, and tools.

Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

Knowledge or experience of machine learning and data science is a plus

Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI

Experience and proficiency in SQL scripting and Azure is a must

Experience and proficiency with an additional programming language such as Python is an asset

People management: Managing and mentoring our marketing analyst, providing guidance, feedback, and support in their professional development

Strong understanding of marketing principles and strategies, including digital and offline marketing channels, and customer lifecycle management

Work from home Monday, Thursday, & Friday

Meet the Marketing & Finance/Data Teams Viv, Nick & Mihir

Meet the Hiring Manager Candy

Background Check + Offer Stage

Detail-oriented with strong organizational and project management skills

Ability to effectively prioritize and manage multiple projects simultaneously while meeting deadlines, strong time management skills

Project management experience is helpful

Post-secondary education in Economics, Analytics, Business, Math, or Computer Science Minimum 3 years of data science, marketing, or analytics experience

Also, work closely with the Data & Technology team to brief and implement analytics dashboard requirements (i.e., Tableau dashboards).

Support the measurement strategy & planning process by identifying objectives & key success metrics and defining measurement approach & requirements

Provides end user security management and content management while providing support of the FP&A systems.

Three or more years of financial information systems implementation and project management

Ability to communicate (written and verbal) effectively with all levels of management.

Works on all projects related to Finance systems to ensure the preservation, security and integrity of all data.

Proven strong financial modeling skills.

Knowledge of research methods, data collection and sampling techniques, and statistical analysis

Lead analysis of requirements and solutions.

Bachelor's degree of a quantitative nature (Statistics, Computer Science, Mathematics, Engineering, etc.) or equivalent practical experience

Intermediate – Advance Excel knowledge

Experience with Azure or another data warehouse

Experience with Segment or other CDP tools

Knowledge of data visualization principles and tools like Power BI and Looker

•Knowledge of database structure and management (SQL, SAS, etc.).

3 days on-site; 2 days work from home

What program/technology/software knowledge is essential for this role?

• More than 3 years programming and modeling experience (e.g., Python & SAS/SQL)

•Strong conceptual, analytical, and problem-solving skills.

•Prior work experience in purchase accounting, credit risk modeling, stress testing, credit portfolio analysis, and credit provisioning.

Post-secondary education in a related area of study, or an equivalent combination of education and related experience may be considered.

Minimum three years experience in Business Intelligence, specifically in data and analytics.

Experience creating reports/dashboards with large data sets.

Experience with different database platforms, data models, data warehouse operations, data integration, and transformation.

Experience working with teams to reach desired results.

Knowledge of relevant industry standards, such as CBAP.

Collaborate with the Data Management team to maintain and improve the performance of data sources used as part of BI products.

Stakeholder Management and Team Collaboration:

Can run requirement sessions with a product or data team to discuss relevant requirements and best solutions

Support the execution of L&D programs for BI-related tooling (Data Catalog & Tableau) and proficient SQL skills

Provide broad growth impact, through internal skill shares, public user groups, blog posts or similar.

2+ years of experience in data analysis, business intelligence or data insights

1-2 years relevant work experience in sales, analytics, finance, or category management (Foodservice industry or B2B experience a plus)

Build knowledge base in managing reporting platforms to ensure data integrity

Strong analytical skills and high intellectual curiosity

Strong customer service and interpersonal skills to collaborate internally

Deliver and present data and findings in a meaningful format to key stakeholders in support of business initiatives and projects

Assesses market strategies by analyzing related products, markets, or trends

[Bonus] Consulting / project management experience

Manage the development, reporting, and visualization of metrics for the entire Risk organization

Maintain, develop and manage various data pipelines and ETLs

Improve risk solutions through third party evaluation and integration with a focus on improving the seller experience

4 or more years of relevant experience (or masters and 2+ years)

Intermediate knowledge on Python (Numpy, Pandas, Matplotlib etc.)

Receiving business requirements, and assess against data availability and risk management to determine the right delivery approach for new reports

Continually acquire and enhance knowledge of risk management applications and Bank's risk management areas.

Knowledge of project and process management disciplines.

Strong time management skills, ability to multi-task, while being results oriented and team focused.

Responsible for the development and production of monthly and quarterly senior management risk reports/regulatory reports.

Be able to explain variances to management and regulators.

Utilize systems and datasets to develop insights into our processes and results to identify operational effectiveness and resource management efficiency.

Develop management dashboards to visualize results with tasks performed and performance measures (KPIs)

Certification or experience in data and reporting tools such as Microsoft Power BI, R or Python

3+ years’ experience as a Data Analyst

Strong working knowledge of Microsoft Power BI, SharePoint and Excel

Previous experience in Business Process Analysis (BPA) preferred

Experience in territory planning and workforce management

Manage data transformation to supply campaign leads through SalesForce CRM tool

Effectively manage results analysis and channel reporting to various stakeholders

Strong data analytical & problem solving skills and demonstrated ability to be highly creative in formulating solutions.

Ability to work in a fast paced, dynamic environment and manage multiple projects through effective prioritization.

GIS Visualization skills - dashboard creation and GIS/geospatial analysis

Conduct data validation to ensure that data sources are reliable and consistent with business requirements.

Good communication and interpersonal skills, with the ability to work collaboratively in a team environment.

Knowledge of marketing analytics and digital marketing is a plus.

Knowledge of Python language is an asset.

Strong analytical and problem-solving skills, with the ability to analyze complex data sets and draw meaningful insights.

Excellent communication and interpersonal skills and can work with individuals and teams at all levels of the organization