Lead Data Analyst

About this career:

• Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team

• Contribute in Agile ceremonies to keep the team up-to-date on task progress, as needed

• Develop, model and apply analytical best practices while upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions .

• Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practises and analytical acumen

• Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines

• Lead learning forums, or be a mentor to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory descriptive techniques ( basic statistics and modelling)

• Champion participation in internal meetups, hackathons; presents in internal conferences, relevant to analytics competency

• Lead the evaluation and design of relevant technical guides and tools to hire great talent by partnering with talent acquisition

• Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques
  

About you:

• B.E/B.Tech (+8 years of relevant exp), M.Tech, M.Sc. , MCA (+6 years of relevant exp)

• Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred

• Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc.

• Advanced SQL experience writing complex queries

• Hands on experience with analytics tools: Hadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies

• Experience working with Product teams and business leaders to develop product roadmaps and feature development

• Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations

• Strong analytical, problem solving, and conceptual skills.

• Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations

• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them

• Intellectually curious, high energy and a strong work ethic

• Comfort with ambiguity and open-ended problems in support of supply chain operations