Analyst Business Intelligence Jobs in Winnipeg, Manitoba

Strong verbal and written communication skills to collaborate and communicate data requirements with internal business stakeholders and external clients.

Work with company management and end users to identify and solve problems.

Post-secondary education equivalent to a Bachelor’s degree in a related field (Accounting, Finance, and/or IS Concentrations)

Work experience in the IT Business Data Analysis field can be a substitute for post-secondary education

Working functional knowledge of Microsoft D365 Finance & Operations plus Microsoft CRM

Maintain Red-D-Arc’s applications and business requirements of rapidly changing technology.

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

You work effectively within timelines and delivery requirements.

Experience with some of the following:

Other potential areas of experience: data science and/or statistical analysis; data lakes; machine learning/artificial intelligence.

Imaginet does not sponsor work visas or offer relocation fees.

Get S#!T done, together. You’ll work with teams of developers in analyzing, architecting, and developing new software solutions for our clients.

You are comfortable collaborating with cross-functional teams and clients and can clearly communicate your ideas.

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

Strong organization, time management, and task prioritization skills

4+ years of experience working with marketing analytics, web analytics, mobile analytics, customer care analytics, or other customer experience analytics

Experience in defining metrics and instrumenting data tracking

Excellent problem-solving skills and end-to-end quantitative thinking

Outstanding communications skills with both technical and non-technical colleagues

Experience with Tableau and Salesforce

Effectively communicating with team members and management (up to Sr. Levels)

Team player who manages collaboratively with the ability to influence management- in some cases without authority

2+ years in Business Intelligence / Data Analytics / Management Consulting

Evaluating business processes- anticipating requirements- uncovering areas for improvement- and developing and implementing solutions.

BS in math- finance- engineering- statistics- business or related discipline is required

Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases.

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

Experience and knowledge of internal systems (e.g. EDW, CGID, EPM, PeopleSoft, Finance

Perform scenario/change impact analyses for communication to Senior Management, with focus

Interact with Finance/business platforms to ensure accurate understanding of report

Consolidate IFRS9, CECL and Stress Testing model result for Finance and Business reporting

Manage in maintaining reporting infrastructure for the analysis of IFRS9, CECL and Stress Testing

Manage in the timely production of the Allowance Committee decks that are critical for the

•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.

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

3+ years of hands-on experience working with programming languages including SAS, SQL, Teradata etc.

Experience managing and leading a team of data analysts, coaching guiding and hands-on exposure.

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

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

Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments

4+ years of experience in financial services, business intelligence and/or data engineering

Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics

Review data to ensure its integrity for data analysis to deliver business insights and validate hypotheses

Build compelling and user-friendly Power BI reports/dashboards

Lead development efforts in ingesting and transforming data from various sources.

5-7+ years of business analysis, data management technology and experience working on complex projects is required.

Provide support to data management activities through adherence to standard practices.

A flexible/hybrid work environment combining in office collaboration and remote working

Ability to work on multiple simultaneous projects with occasional ad-hoc requests and manage time to achieve optimal results.

Work with the team and Project Manager(s) to create feasible timelines, identify project risks and actively resolve issues.

Experience developing, documenting, coding, testing, and implementing technical solutions to meet business needs is required.

Leveraging your technical expertise and project management skills to deliver complex solutions effectively.

Designing and implementing a hospital-wide balanced scorecard and integrated operational dashboards, including finance, clinical, people, and patient experience reporting.

Demonstrated experience in managing and leading large projects or processes with limited oversight from a manager.

Experience with the EPIC health information system and/or EPIC reporting software is a must.

Gathering requirements and collaborating with the Business Intelligence team to develop and maintain automated dashboards, metric reports, and data visualizations.

Master's degree in Computer Science, Mathematics, Health Informatics, or a related field, along with relevant work experience.