Senior Data Analyst

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 an asset.