Virtual- Strategy and Analytics USDC - Hiring multiple profiles (Cloud Analytics, Data Science ETL-Informatica/Data Stage)

Analytics | Strategy & Analytics
Same job available in 30 locations

Position Summary

Are you an experienced, passionate pioneer in technology – a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center – we are breaking the mold of a typical Delivery Center. 

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below …

The Team

Analytics & Cognitive

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:

  • Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
  • Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
  • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements

Qualifications Required

Cloud Analytics: 

  • 3+ years of experience in data engineering with an emphasis on data analytics and reporting.
  • 3+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
  • 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc.).
  • 3+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
  • 3+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other.
  • 3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
  • Bachelor’s degree or equivalent work experience.

Qualifications Required

Data Science:

  • Bachelors (or Masters) level qualification in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field
  • Has experience in developing algorithms using data science technologies to build analytical models
  • 3+ years of data extraction/manipulation using scripts specific to Python, R
  • Experience with python and/or R programming
  • 3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access +python
  • Modeling expertise using a variety of regression and supervised and unsupervised learning techniques
  • Experience in data wrangling/cleansing, statistical modeling, and programming

Qualifications Required

ETL-Informatica/Data Stage:

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Must have experience moving data between systems
  • Must be able to maintain an Enterprise Data Warehouse (EDW) in support of business intelligence analytics
  • 3 years Develop and maintain data warehouse objects
  • Experience working within an Extraction Transform Load (ETL) software
  • Must have 3 years of working within Data Warehouse environments

Additional requirements for all profiles above:

  • Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
  • Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
  • Limited Sponsorship: Limited immigration sponsorship may be available.

Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Learn more about our commitment to developing our people.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 36507

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