Analyst-Data Analytics

Job Description

How will you make an impact in this role? Sales Enablement Organization focuses on accelerating commercial business growth through training, tools and insights to provide a best-in-class customer experience and create a culture of doing it the right way. Sales Ops & Governance Role This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization. Key Responsibilities: Perform in-depth data analysis to deliver strategic priorities focused on the sales enablement roadmap for Small/Medium Business Have outstanding knowledge of Python, SQL, and Hive, encompassing data manipulation and statistical modeling/data-mining techniques Ability to work with huge unstructured data, apply analytical thinking to diagnose business needs and establish analytical hypothesis and solutions Analyze, deep dive, explore to identify data gaps and problem solve them by collaborating across teams. Detailed execution of the development, validation and implementation of automated analytical solutions with minimal to no manual intervention Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities. Challenge status quo, innovate, and harbor strong curiosity. Proactively identify opportunities to improve processes by evaluating and challenging existing approaches Effectively challenge the conceptual soundness, theory, approach, and usages of predictive models Minimum Qualifications 3+ years of Database Architecture & Administration experience in a professional environment Bachelor s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering) Must Have - High proficiency in Python and SQL, with strong working knowledge of analytical tools (e.g., Hive, PySpark, scikit-learn etc.) Programming: SQL, SAS, Python/R, Unix scripting, Excel/VBA Experience in Big Data environment, inclusive of data mining techniques. Experience applying advanced statistical and/or quantitative techniques to solve business problems Hands-on analytics and machine learning (ML) experience with understanding of data processing and model validation. Ability to address performance issues and to manipulate both structured and unstructured data Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing) Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal and communication skills Ability to deliver results, work independently, and prioritize tasks Self-starter who thrives in an evolving, dynamic environment Preferred Qualifications Proficiency in CRM tools, Salesforce, or statistical software programs Big data platform (Hadoop, SPARK, NoSQL DB, RDBMS) Cloud Products & Services like Google Cloud Visualization: Tableau, Power BI, Power Automate, Splunk Servicing Platforms like Service Now Others: Confluence, Sharepoint or any other workflow and content management tool