Data Analytics Expert Lead
3 days ago
Discover a challenging and rewarding career opportunity as a Senior Data Analyst with Teranet Inc. in Data Analytics. We are seeking an experienced professional to lead our team in designing, developing, and implementing data-driven solutions that drive business value.
About the RoleThe Senior Data Analyst will play a key role in supporting the ambitious goals of our Commercial Solutions line of business, leveraging data science to enhance existing or create new products and services. You will collaborate with cross-functional teams, deliver comprehensive analyses, and innovate visualization using business intelligence tools.
Responsibilities- Business Data Consultation (35%)
- Engage with stakeholders to understand business requirements and objectives for data & analytics use cases.
- Translate business questions into technical data needs, ensuring alignment with project goals.
- Research, identify, and collect/extract external data sets required for the use case.
- 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 case.
- Data Processing and Engineering Support (30%)
- Partner with data engineers and data scientists to ensure data pipelines and models align with organizational goals.
- Analyze, assess, and remedy the data for quality and usability.
- 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 visualization or BI tools.
- Data Analytics and Visualization (35%)
- Implement category and segmentation techniques and create dynamic data solutions tailored to stakeholder needs.
- 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.
- Design and deliver advanced data visualizations and dashboards to convert large datasets into compelling storylines.
To succeed in this role, you should possess:
- A keen understanding of the business – data analytics cannot be done in a vacuum.
- The ability to tell stories from data – data analytics is not data dump.
- Curiosity and a willingness to challenge the status quo.
- Excellent problem-solving skills and the ability to connect the dots.
- Pride in your work and a commitment to delivering high-quality results.
- Strong communication skills and the ability to communicate effectively with internal and external parties.
The ideal candidate will have:
- A Bachelor's degree in a quantitative field: Statistics, Mathematics, Computer Science, or Engineering.
- Minimum 5 years of work experience in a Data Analyst or Senior Data Analyst capacity.
- Proficiency in SQL and Python (regular usage, practical experience).
- Practical experience in data analysis: data cleansing, exploration, and modeling.
- Proficiency in using data visualization tools (Tableau), other BI tools (PowerBI), and Excel.
- Knowledge of Big Data Technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka, etc.
- Understanding of spatial data concepts, including geospatial data formats (e.g., GeoJSON, Shapefiles), spatial analysis, and tools like ArcGIS.
We offer a dynamic and inclusive work environment, where our employees can grow and thrive. Our people are passionate, driven, resourceful, and authentic. We invest in the continuous learning, development, and growth of our people, offering market-competitive pay structures, paid vacation and sick leaves, maternity, parental, and/or adoption leave top-up programs, and more.
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