Job Description

Role: Sr. Data Analyst

Location: Canada Remote

Experience: 8+ years

Job description:

Collaborate with stakeholders to gather, document, and analyze business requirements..
Translate business needs into functional specifications and data requirements.
Facilitate workshops, interviews, and meetings to understand business processes and pain points.
Perform data profiling to assess data quality, completeness, and consistency.
Analyze large datasets to identify trends, patterns, and anomalies.
Hands on with SQL, pysparks , reports, and visualizations using tools like Power BI, Tableau, or similar to analyze data.
Work with data engineers to define data models and ensure data readiness for analysis.
Create clear and concise documentation including BRDs, FRDs, data dictionaries, and process flows.
Present findings and recommendations to stakeholders in a compelling and actionable manner

Key Responsibilities & Skillsets:

8+ years of relevant experience in data projects - new development
Data Tools: SSIS, Microsoft SQL, Azure , AWS S3, Power BI, Salesforce
Excellent communication & presentation skills and should be able to communicate with client effectively
Experience in managing SQL codes and collaborating with customer on data model evolution
Good knowledge of Relational Data Base Management and SQL
Strong SQL and Python
Experience working in Agile or hybrid project environments

Candidate Profile:

Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
Strong and in-depth understanding of DE Fundamentals
Data analysis experience
Superior analytical and problem solving skills
Outstanding written and verbal communication skills
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

Job Tags

Hourly pay, Permanent employment, Full time, Internship, Seasonal work,

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