Data Analyst And Data Engineer Jobs in Manitoba

You have experience working with a research or consultancy organization with proven research and analysis skills.

Manage the delivery of user satisfaction surveys and report on results using data visualization software

Collaborate with program managers and operations managers to establish objectives, determine performance indicators, oversee analytical projects, and assess outcomes.

You possess excellent analytical and quantitative skills, including data analysis

Your organizational skills are commendable, and you approach your work with a methodical and structured approach.

You are skilled in Excel, Data Cleaning and Wrangling and with tools like OpenRefine

Strong organizational and project management skills to manage competing priorities within tight timelines.

Progressive experience performing data analysis.

Experience documenting procedures, guidance or standards.

Experience training, coaching or mentoring others regarding data analytics.

Strong analytical and problem-solving skills to determine approaches suitable to assess data and identify findings.

Strong interpersonal skills to build and maintain collaborative working relationships with various stakeholders and work effectively with teams.

Business Analyst resource with excellent knowledge of the project lifecycle and application development process methodologies

Need Data BSA’s who are good with data analysis and querying.

Having banking domain is must,

Analytical, logical, and systematic thinking skills.

Knowledge of other foreign languages is a plus.

Experience working with open data registries is a plus.

Experience working with OSINT software and platforms is a plus.

Analyse the collected information, identify trends, and draw conclusions.

Prepare analytical reports based on the research findings.

Familiarity with Source Code Management Tools (GitHub a plus).

Familiarity with Project Management Tools (JIRA, Confluence a plus).

Familiarity with Service Management Tools (Service Now a plus).

Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus. 

Mentoring and/or technology evangelism/advocacy experience to help grow skillsets within the team.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

Gather requirements needed to sustainably implement data management standards.

Partner with stakeholders to get buy-in on, develop, and implement Sanofi’s data management standards, policies, and best practices.

Recommend KPIs and develop reports to monitor adoption of and adherence to data management standards.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Develop detailed knowledge of Sanofi’s data, data flows, and processes.

Strong communication skills and relationship management capabilities;

Strong planning skills and experience in large, complex projects

Prior financial industry experience is desired but not mandatory.

Experience working in an Agile environment

Excellent written and verbal communication skills

Strong knowledge of both waterfall and agile SDLCs.

Apply your skills in exploratory and statistical analysis on a diverse range of data sources.

Experience with either Python or R as well as SQL

Demonstrated experience with common analytical packages such as pandas, numpy, dplyr, sci-kit learn, ggplot2 and matplotlib

Experience developing interactive dashboards in Tableau (or similar tool)

Previous data analyst internship experience

Write code to automate key business controls to help auditors continuously monitor risk across the bank.

Programming knowledge and experience in Python.

Complies with Sysco’s Food Safety Policy and procedures to ensure food safety, quality and legality requirements are met.

3-5 years experience in a complex data / analytical role ideally within a food / foodservice / retail environment.

Experience with data extraction from various sources.

Here’s a sample of the many benefits Sysco colleagues enjoy:

Work with International Sysco Sites and relevant stakeholders within those countries to collate data to a defined cadence.

Minimum five (5) years of work-related experience, with at least one (1) year in a supervisory/management role

Remote and/or Hybrid Work Opportunities

You have solid experience in designing schemas and data models for use in transformation

Fresh Café with delicious snacks and meals at a subsidized price!

Opportunity to give back through our social responsibility initiatives

Design and build customer data warehouse on Snowflake in a consistent and scalable manner

• Hands-on experience in financial knowledge with good understanding of swaps, bonds, repos, interest rates

• Experience in gathering and documenting requirements

• Experience in using SQL for data extraction and analysis

• Nice to have understanding of PERL

An expert knowledge of data warehouse architecture and hands on experience of data modeling design, building complex and scalable ETLs

Own, coordinate, and tackle cross-functional problems across Marketing, Sales, Finance, Business Intelligence, Data Science, and more

Technical accomplishments working with SQL, ETL scheduling technologies (e.g. Apache Airflow, prefect, etc) and experience working in python

Experience with Linux/OSX command line, version control software (git), and general software development

Strong written and verbal communication skills and ability to build strong relationships and influence across the organization

Be the technical owner of Square’s multi touch attribution (MTA) pipelines maintaining and improving this business critical system

Experience working in data entry job.

Insert client data by inputting numerical information from source documents within time limits.

Assist automated solution by validated data points inserted.

Review data for deficiencies or errors, correct any incompatibilities if possible and check output.

Complying with security backups and regular checkups to ensure the safety of the data being stored.

Data Analyst - Advanced for

• Over 7 years of experience as Analyst (performed data manipulation, data analysis, data management).

• Manage requirements elicitation, analysis and documentation processes to capture business and end user needs.

• Managing data analysis and usage requirements, focusing on data and integration-intensive initiatives.

• Work with business stakeholders to understand requirements for data use, analysis, and quality.

• Deliver in compliance with quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements.

• Experience in a healthcare company is a strong plus.

Data Engineer - Data Management Systems – Mandatory Skills

Data Engineer - Data Management Systems - Nice to Have Skills

Design, construct, install, test and maintain highly scalable data management systems

Data Engineer - Data Management Systems

Data Engineer - Data Management Systems –

Data Engineer - Data Management Systems - Assignment Start Date

Work with management to prioritize business and information needs

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) a plus

Proven working experience as a data analyst or business data analyst

Skilled in Microsoft Excel or similar spreadsheet software

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Skills - Big Data Analysis, SQL, Python,

Knowledge of programming languages like SQL and Python

Knowledge of data visualization software like Tableau, Qlik

Analytical and Problem-solving skills with systematic and logical approach

Verbal and Written communication skills

Proven working experience in data analysis

Modify existing databases and database management systems or direct programmers and analysts to make changes.

4 years of expertise in Data Management

4 years of experience as a Data Analyst

Excellent problem-solving skills with the ability to organize, investigate and condense files

Exceptional analytical skills with the ability to analyze data and present trends in a dashboard

Experience working in the Banking sector