Spec Analytics Intmd Analyst - C11 (AIM- TTS)

The Business Analytics Int Analyst is a developing professional role with the autonomy to solve complex problems independently. You will utilize your in-depth specialty knowledge and industry understanding to integrate with the team and other functions effectively. Your analytical thinking and proficiency in data analysis tools will be crucial in making informed judgments and recommendations based on factual information. Your role will involve dealing with variable issues that may have broader business impacts, requiring professional judgment in interpreting data and results. You will also need to communicate complex information in a systematic and understandable manner, demonstrating developed communication and diplomacy skills. The quality and timeliness of the service you provide will directly impact the effectiveness of your team and other closely related teams. Responsibilities: - Gather operational data from various cross-functional stakeholders to analyze past business performance. - Identify data patterns and trends to provide insights that enhance business decision-making capabilities. - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. - Continuously improve processes and strategies by evaluating new data sources, tools, and capabilities. - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies. - Assess risks appropriately when making business decisions, ensuring compliance with laws, rules, and regulations. Role Description: - The role of Spec Analytics Intmd Analyst (C11) in the TTS Analytics team. - Reporting to the AVP or VP leading the team. - Working on multiple analyses throughout the year on business problems across the client life cycle for the TTS business. - Leveraging various analytical approaches, tools, and techniques to provide data-driven insights to business partners. - Contributing to ideation on analytical projects to tackle strategic business priorities. - Embracing ambiguity and open-ended questions as a core part of the team's work. Qualifications: Experience: - Bachelor's Degree with 6-8 years or Master's Degree with 4-6 years of experience in data analytics, or a relevant PhD. - Substantial experience in identifying and resolving business problems, utilizing text data, developing analytical tools, applying predictive modeling techniques, and working with diverse data sources. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficiency in converting business problems into analytical tasks and deriving business insights from analytical findings. - Ability to work hands-on with data from big data environments. Tools and Platforms: - Prior experience with Graph databases like Neo4j and Vector database. - Proficiency in Python, PySpark, Hive, MS Excel, and PowerPoint. - Experience with PySpark and Tableau is a plus.,