Manager

Job Overview

  • Date Posted
    December 26, 2022
  • Location
  • Expiration date
    --

Job Description


JD – Manager, Digital AI / Controls & Algorithms

Experience – 5 – 10 years

Position Summary

 

Our team helps clients in identifying, developing and implementing solutions for analytics enablement, and achieving their business and compliance needs through intelligent use of data analytics, using our experience and expertise in varied areas of data management and analytics.  Our team spans across our businesses Offering Portfolios (Continuous Control Monitoring, Digital Audit, Controllership Analytics, Business Analytics). The team has been instrumental in Deloitte’s analytics growth journey and has played integral part in delivering client engagements and developing the Deloitte proprietary analytic solutions

 

Key Responsibilities

  • Analyze client requirements, perform gap analysis and design solutions
  • Design and develop ETL processes to consolidate heterogeneous data into a centralized platform
  • Utilize critical thinking and understanding of business issues to solve complex technical and business-related problems
  • Interact with clients and engagement teams to coordinate project work and ensure client satisfaction
  • Work with team members to build analytics solutions and present them to senior management and/or clients
  • Provide input with respect to firm's internal technology initiatives and investments
  • Review deliverables for accuracy and quality
  • Manage personal and professional development including expanding consulting skills
  • Actively participate in practice development activities, such as new project proposals, RFPs and firm eminence activities

Essential Technical Skills

Experience in data management, processing and analyzing transactional & historical data with competency in a variety of analytics tools and programming languages such as, but not limited to:

  • Traditional DBs: SQL Server, SAS, Teradata, Oracle, Postgres
  • Programming: T-SQL, PL/SQL, Base SAS, Python, R
  • ETL: SSIS, Informatica, SAP BODS
  • Data Wrangling: Alteryx, Knime
  • Data Visualization: Tableau, Power BI, QlikView
  • Good knowledge in data modelling, data quality, and data profiling is a must
  • Strong data warehousing skills with ability to design robust data models
  • Strong understanding of Advance Analytics Techniques using AI & ML
  • Demonstrate problem solving and proven troubleshooting skills
  • Experience in building data analytics solutions on AWS, Google Cloud, Azure is a plus
  • Knowledge in any business domains preferably Manufacturing, Pharma, CPG (Lines of Business / Finance/ Risk functions) Internal Audit (Business processes & controls)

Desirable Certifications

  • MBA/Equivalent with specialization in Finance
  • Certification in Cloud (AWS/ Azure / GCP) Data analytics or AI/ML
  • Certification in SAS or SQL Server or Other relational databases or big data platform
  • Certification in Data Visualization – Tableau, Power BI, QlikView