Jobs via Dice
Our client, EdgeAll, is seeking a data science professional with the following qualifications:
Must have:
SQL, Python, and data science experience with BI tools (Tableau) Qualifications: 8+ years of experience in data science, analytics, or a related field. Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact. Excellent SQL skills for data extraction, manipulation, and pipeline development. Expertise in data visualization tools (e.g., Tableau, Qlik). Experience with Python or R for advanced analytics, modeling, and automation is a plus. Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus. Machine learning and Generative AI experience is a plus. Ability to manage multiple projects simultaneously in a fast-paced environment. Strong problem-solving and end-to-end quantitative thinking skills. Passion for mentorship and developing talent within the team. Responsibilities: Drive Business Impact through Localized Analytics Identify and develop key performance metrics to measure the effectiveness of Canadian assisted offerings. Partner with cross-functional leaders to deliver insights that improve customer experience and reduce friction in human-assisted flows. Automate and maintain localized reporting to support real-time, data-informed decision-making. Elevate Data Infrastructure & Modeling for Canada Extend and adapt core dashboards and models to meet Canadian requirements. Lead development of segmentation frameworks to guide proactive help strategies and improve resolution outcomes. Optimize data pipelines and ensure robust, scalable infrastructure to support business intelligence. Improve Operational Efficiency & Seasonal Readiness Analyze channel efficiency metrics to inform staffing, routing, and tooling decisions. Support operational planning and execution throughout the season. Drive clarity and understanding of KPI performance, including establishing data-driven metric targets and performing root cause analysis. Influence Strategy Through Insightful Storytelling Deliver clear, compelling narratives that translate complex analytical findings into actionable recommendations. Aggregate VOC signals to proactively shape customer journeys and surface opportunities for experience improvement. Collaborate closely with senior leaders and cross-functional stakeholders to ensure alignment on strategy, service quality, and customer success. We are an equal opportunities employer and welcome applications from all qualified candidates.
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SQL, Python, and data science experience with BI tools (Tableau) Qualifications: 8+ years of experience in data science, analytics, or a related field. Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact. Excellent SQL skills for data extraction, manipulation, and pipeline development. Expertise in data visualization tools (e.g., Tableau, Qlik). Experience with Python or R for advanced analytics, modeling, and automation is a plus. Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus. Machine learning and Generative AI experience is a plus. Ability to manage multiple projects simultaneously in a fast-paced environment. Strong problem-solving and end-to-end quantitative thinking skills. Passion for mentorship and developing talent within the team. Responsibilities: Drive Business Impact through Localized Analytics Identify and develop key performance metrics to measure the effectiveness of Canadian assisted offerings. Partner with cross-functional leaders to deliver insights that improve customer experience and reduce friction in human-assisted flows. Automate and maintain localized reporting to support real-time, data-informed decision-making. Elevate Data Infrastructure & Modeling for Canada Extend and adapt core dashboards and models to meet Canadian requirements. Lead development of segmentation frameworks to guide proactive help strategies and improve resolution outcomes. Optimize data pipelines and ensure robust, scalable infrastructure to support business intelligence. Improve Operational Efficiency & Seasonal Readiness Analyze channel efficiency metrics to inform staffing, routing, and tooling decisions. Support operational planning and execution throughout the season. Drive clarity and understanding of KPI performance, including establishing data-driven metric targets and performing root cause analysis. Influence Strategy Through Insightful Storytelling Deliver clear, compelling narratives that translate complex analytical findings into actionable recommendations. Aggregate VOC signals to proactively shape customer journeys and surface opportunities for experience improvement. Collaborate closely with senior leaders and cross-functional stakeholders to ensure alignment on strategy, service quality, and customer success. We are an equal opportunities employer and welcome applications from all qualified candidates.
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