Enterprise AI/ Sr. Consultant-Data Analytics-Business Consulting

Infosys

51d•$116,875 - $148,125•Onsite

About The Position

The Data & Analytics team aims to empower clients to become data, analytics, and insights-driven. As a Senior Consultant, you will be a crucial member of the team, contributing to the realization of this vision. We are looking for experienced Management Consultants with a background in Data & Analytics to join our practice.

Requirements

Minimum of bachelor’s degree or higher in marketing, economics, mathematics, or related technical specialty.
5+ years of relevant work experience with 3 years of experience in Management Consulting.
Ability to travel 4-5 days a week to multiple local, state and national client locations.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Nice To Haves

Exposure to one or more domains such as: Banking, Finance, Insurance, Consumer Goods, Retail, Manufacturing Industries.
Strong proficiency in SQL and experience with relational databases.
Advanced knowledge of Python or equivalent for data analysis, modelling and visualization
Process experience in the Supply Chain, Marketing, eCommerce, Digital Marketing, Merchandizing.
Exposure to using AI/ML/Automation creatively for client challenges.
Experience with Agile, Scrum methodologies, Data Bricks and Snowflake.
Experience with Visual Analytics tools like Tableau, PowerBI, and Qlik suite.
Understanding of platform modernization, business analytics and program/ strategy consulting
Sound knowledge and application skills in Business Analytics [Data Engineering, ETL, Data Modelling, Data Science] / Data Management/ Platform Modernization [MS Azure, AWS] and/or Program Management and Strategy consulting.
Strong interpersonal, leadership and communication skills

Responsibilities

Lead discussions with clients to understand business challenges and design analytical solutions
Elicit high-level business requirements, use case and detailed functional specs. Create deliverables such as requirement traceability matrices, workflow diagrams, and data dictionary.
Collect, clean and structure data from multiple sources (Databases, APIs, Spreadsheets, Cloud platforms like Databricks, Snowflake etc)
Design approaches to enhance data quality.
Conduct exploratory and statistical analysis to identify trends, anomalies and opportunities
Develop KPIs, dashboards and visualization reports that communicate findings clearly
Write SQL queries, Python scripts or equivalent for data wrangling and analysis
Create business case and transformation roadmaps.
Design data governance models.
Present insights and recommendations to business and technical stakeholders in a clear and compelling way
Lead internal and client teams on Data Management.
Support sales pursuits and firm building efforts.
Mentor staff and manage project finances.