Data Analyst

Urgent Vacancy Part Time Jobs Montreal For Data Analyst
Job Description
Part Time Jobs Montreal, A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.
We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
Job Details

Hiring Organization
Sita

Post Name
Data Analyst

Qualification
Any Graduate

Industry
Private

Employment Type
Part Time

Work Hours
4 Hours

Salary
CAD 18 To CAD 22 Per Hour

Location
Montreal, Quebec, Canada H3A 1G1

About Organization
We don’t just connect the global aviation industry. We apply decades of experience and expertise to address almost every core business, operational, baggage, and passenger process in air transport.
Our aviation IT professionals are in every corner of the globe. We serve over 200 countries and speak over 60 different languages. Our senior executives bring decades of experience to meet the challenges of today’s air transport industry.
We explore technologies, business models and processes that help the air transport industry reduce costs, overcome operational hurdles, and improve the passenger experience. Starting with our SITA Labs innovation team and expanding across the product portfolios, we thrive on solving the industry challenges of today and tomorrow.
SITA partners and co-innovates with airline, airport, and border customers, proven innovative companies, early-stage ventures, and universities. The approach includes taking on the risks of technology investigations through Proofs-of-Concept (POCs), trials, and pilot projects – mindful that not all research will always become a SITA portfolio solution.
Data Analyst Responsibilities For Part Time Jobs Montreal

Managing master data, including creation, updates, and deletion.
Managing users and user roles.
Provide quality assurance of imported data, working with quality assurance analysts if necessary.
Commissioning and decommissioning of data sets.
Processing confidential data and information according to guidelines.
Helping develop reports and analysis.
Managing and designing the reporting environment, including data sources, security, and metadata.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source production systems.
Training end-users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements For Part Time Jobs Montreal

Work experience as a data analyst or in a related field.
Ability to work with stakeholders to assess potential risks.
Ability to analyze existing tools and databases and provide software solution recommendations.
Ability to translate business requirements into non-technical, lay terms.
High-level experience in methodologies and processes for managing large-scale databases.
Demonstrated experience in handling large data sets and relational databases.
Understanding of addressing and metadata standards.
High-level written and verbal communication skills.

Data Analyst Skills For Part Time Jobs Montreal

Data Visualization.
Data Cleaning.
Python.
SQL and NoSQL.
Machine Learning.
Linear Algebra and Calculus.

Data Analyst Benefits For Part Time Jobs Montreal

Personalize the customer experience. Businesses collect customer data from many different channels, including physical retail, e-commerce, and social media.
Inform business decision-making.
Streamline operations.
Mitigate risk and handle setbacks.
Enhance security.

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