Data Analytics(python, databricks)

Your responsibilities as a Data Science Specialist- Analytical professional with strong Databricks & Python expertise, who can translate business problems into insights and communicate them effectively in a fast-paced environment. This role is client-facing, hence your expertise in technical domain and ability to communicate effectively will be critical. Strong data analytics expertise with hands-on experience in Python and DatabricksProven ability to work with large datasets, perform data transformation, and derive actionable insightsComfortable with end-to-end analytical workflows (data extraction analysis insight generation)Ability to translate business problems into analytical frameworksStrong storytelling skillsable to synthesize complex analysis into clear, impactful narrativesExperience in client-facing roles, with confidence in presenting to stakeholdersAbility to thrive in a fast-paced, dynamic environmentStrong problem-solving mindset with bias for actionExcellent communication and collaboration skills across cross-functional teams You will fit right in if you have 7-9 years of related work experience in data analyticsHands-on analytics-based query experience in SQL, Python and DatabricksStrong written and verbal communication, including technical writing skills.Requirements analysis, translation, organization, and communication experience.Practical experience in scrum-based Agile development methodology.B.S. in Engineering, Information Management, or Computer Sciences preferred Nice to have- Experience in consulting or strategy-led analytics engagementsExposure to dashboarding / visualization tools (e.g., Power BI, Tableau)Domain experience in marketing, digital analytics, or automotive (optional) Your responsibilities as a Data Science Specialist- Analytical professional with strong Databricks & Python expertise, who can translate business problems into insights and communicate them effectively in a fast-paced environment. This role is client-facing, hence your expertise in technical domain and ability to communicate effectively will be critical. Strong data analytics expertise with hands-on experience in Python and DatabricksProven ability to work with large datasets, perform data transformation, and derive actionable insightsComfortable with end-to-end analytical workflows (data extraction analysis insight generation)Ability to translate business problems into analytical frameworksStrong storytelling skillsable to synthesize complex analysis into clear, impactful narrativesExperience in client-facing roles, with confidence in presenting to stakeholdersAbility to thrive in a fast-paced, dynamic environmentStrong problem-solving mindset with bias for actionExcellent communication and collaboration skills across cross-functional teams You will fit right in if you have 7-9 years of related work experience in data analyticsHands-on analytics-based query experience in SQL, Python and DatabricksStrong written and verbal communication, including technical writing skills.Requirements analysis, translation, organization, and communication experience.Practical experience in scrum-based Agile development methodology.B.S. in Engineering, Information Management, or Computer Sciences preferred Nice to have- Experience in consulting or strategy-led analytics engagementsExposure to dashboarding / visualization tools (e.g., Power BI, Tableau)Domain experience in marketing, digital analytics, or automotive (optional)