Data Analytics Engineer-Manager

Summary Position Summary USI Senior Data Analytics Engineer - Manager Are you passionate about leveraging analytics to solve real business problems and enable impactful decision-making at the highest levels? Do you thrive at the crossroads of business-operations insights and innovative problem-solving? If so, Deloitte invites you to take on a pivotal role as a Senior Data Analytics Engineer solving complex business problems and building new capabilities for a multi-billion Operate growth business.

The team You will join a cross-business Operations & Integration team, focused on developing / innovating key measures of business performance and building dashboards and reporting that inform decisions and drives the US Operate business’ high growth.

Role & Responsibilities You will be a founding senior data engineer advancing analytics capabilities and delivering actionable insights across risk, delivery, sales, finance, and talent domains.

Technical and Analytical Expertise:

• Architect the end-to-end data lifecycle, including developing modern data architectures, engineering robust data pipelines, and designing and building data products that support analytics use cases.
• Lead development of analytics solutions - cleansing and wrangling structured and unstructured data, designing and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes.
• Manage design, build, test and deployment of analytics dashboards, data visualizations and predictive models within enterprise BI platforms.
• Leverage quantitative and qualitative data and analytics methods to analyze data across risk, delivery, sales, finance, and talent focus areas.
• Develop data visualizations that highlight key insights to help leaders make informed business decisions.

Project leadership and management:

• Lead and manage interactions with business / subject-matter stakeholders to inform and validate data and analytics, including conducting interviews, synthesizing findings, and identifying key themes.
• Direct development of analytics solutions’ vision and implementation plan. Oversee creation and finalization of deliverables and assure quality.
• Interpret, understand, and present analytics results to business stakeholders, with a strong focus on data storytelling and actionable insights.
• Stay updated on the latest trends, tools, and technologies in data, analytics, relevant technology and generative AI.

Core technical skills:

• Full stack engineer, experienced with React and / or Angular frameworks and SQL databases.
• 10+ years of experience in leading executing data engineering (profiling, cleansing, normalization, manipulation) tasks and data analysis leveraging relevant tools (e.g., SQL, R, & Python).
• 10+ years of experience with Data Warehouses and Data Lakes (e.g., Azure, Databricks, Snowflake).
• Advanced proficiency in data visualization: Tableau (Microsoft Power BI is a plus).
• Skilled at spinning up and prototyping new ideas for internal consumption.
• Experience and comfort with shipping frequently (as frequently as daily).
• Advanced proficiency in data storytelling.
• Experience with AI coding assistants (e.g., Claude).

Education:

• Master’s in data Analytics / Science, MIS, or related field.
• Bachelor’s in management information systems (MIS), Computer Information Systems/Science, Economics, Mathematics, Engineering, or related field.

Preferred:

• Managed at least two data or technology-driven projects through the full project lifecycle (initiation through closure), overseeing timelines, deliverables, and stakeholder engagement.
• Experience with sales/revenue forecasting, risk-management analytics.
• Facilitated at least three meetings, presentations, or workshops with cross-functional and/or global teams, leading stakeholder discussions or decision-making on complex topics.
• Experience in management consulting or client-facing analytics setting.

Location: Hyderabad

Shift timing: 2 PM to 11PM

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Requisition code: 326610