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,