Job Title: Senior Data Analyst (SQL, Power BI, Looker)
Location: 100% Remote, Canada
Experience: 5+ Years
Rate: 62 to 65 CAD PH
Role Summary
NearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives. This role involves working with cross-functional teams to analyze complex datasets, deliver actionable insights, and support strategic business outcomes for a Fortune 500 product company.
Key Responsibilities
- Collaborate with product managers and cross-functional teams to identify, define, and solve business problems using data-driven approaches.
- Analyze large and complex datasets to extract actionable insights that influence product and business strategy.
- Monitor and report on KPIs and OKRs, ensuring visibility into performance across platform initiatives.
- Partner with product, engineering, and business stakeholders to understand data needs and deliver analytical solutions.
- Design and deliver impactful dashboards and visualizations using Power BI, Looker, or similar tools.
- Proactively identify trends and opportunities related to platform performance, user engagement, and business impact.
- Develop advanced data models and apply statistical techniques to forecast trends and support decision-making.
- Ensure data integrity through best practices in data validation, cleaning, and transformation.
- Identify and resolve data discrepancies to maintain high-quality analytical outputs.
Must-Have Skills
- Strong proficiency in SQL for data querying, transformation, and analysis.
- Hands-on experience with data visualization tools such as Power BI and Looker .
- Experience with data warehouse ELT tools, including Snowflake , Airflow , or dbt .
- Proficiency in Python or R for data analysis and modeling.
- Familiarity with cloud platforms such as AWS or Azure .
- Solid understanding of statistical analysis and data modeling techniques.
- Proven ability to analyze complex datasets and generate actionable insights.
- Strong communication skills to present data insights to both technical and non-technical stakeholders.
Nice-to-Have Skills
- Experience working in a SaaS environment or platform engineering organization.
- Exposure to large-scale product analytics and user behavior analysis.
- Familiarity with enterprise product ecosystems in the software industry.
Certifications
- Bachelor's degree in Data Science, Statistics, Mathematics, or a related quantitative field.
- Master's degree in a quantitative field is