Senior Data Analyst
About The Position
The Data & Analytics team within the IT Solutions line of business has an ambitious mandate, where we are accountable for leveraging Data & Analytics to deliver business value both internally as well as to external clients. This team will play an important role in evangelizing and educating the value of Data & Analytics to the rest of the organization, in support of cultivating a data-driven culture. You will support these ambitious goals primarily through ensuring seamless data integration, maintaining high quality data standards, collaborating with cross functional teams, and delivering comprehensive analyses and innovative visualization using business intelligence tools. The Senior Data Analyst plays a pivotal role in driving data-informed decisions across our organization. Operating at the intersection of business strategy and data expertise, this hands-on role brings clarity to complex problems and empowers teams with actionable insights.
Requirements
- Bachelor’s degree in quantitative field: Statistics, Mathematics, Computer Science, Engineering
- Minimum 5 years of hands-on experience as a Data Analyst or Senior Data Analyst
- Proficiency in SQL, Python and Excel
- Advanced expertise in Tableau, or other BI tools
- Knowledge of Big Data Technologies (HDFS, Spark, etc.) and Cloud platforms (AWS and/or Azure)
- Understanding of spatial data concepts, including geospatial data formats (e.g., GeoJSON, Shapefiles), spatial analysis, and tools like ArcGIS
- Keen to understand the business
- Tells stories from data
- Challenges the status quo
- Good at problem solving
- Takes pride in your work
- Is a quick study
- Is a good communicator
Responsibilities
- Collaborate across marketing, product, finance, partner solutions, data engineering and other teams to deeply understand business objectives
- Translate business questions into technical data needs, ensuring alignment with project goals
- Research, identify and then collect / extract the external data sets required for the use case. Creativity, thinking outside of the box, and resourcefulness is required to find new and relevant data sources to meet business requirements
- Exhibit strong attention to detail while working with large datasets to ensure accuracy, completeness and high-quality standards
- Translate technical findings into clear recommendations for non-technical stakeholders, ensuring alignment with business use cases
- Partner closely with data engineers and data scientists to ensure data pipelines and models align with organizational goal
- Diagnose and enhance data quality across diverse sources
- Recommend ways to integrate disparate data sources into a usable data model to meet business requirements
- Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools
- Implement segmentation and categorization techniques to build dynamic solutions tailored to use case
- Demonstrate curiosity by exploring datasets, conducting exploratory data analysis to uncover hidden trends, outliers, anomalies, and identify insights that might not be obvious
- Provide detailed analysis of customer behavior, market trends, and competitive landscape to support product, sales and marketing strategies
- Build advanced dashboards and visualizations that turn data into compelling narratives
Benefits
- 100% Employer Paid Health Benefit Plan
- Employer Matching Retirement Savings Plan
- Paid Vacation, Floater Days & Sick Leaves
- Maternity, Parental and/or Adoption Leave Top-Up Programs
- Corporate Discounts & GoodLife Group Rate Membership
- Employee Assistance Program – for you and your loved ones!
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
