Solution Analyst – Data Analytics: Deloitte Consulting, US Delivery Center
Interested in creating mission critical solutions? Together with our other delivery centers around the world, we provide development and sustainment services for our clients, both pre- and post-implementation. Here you’ll get the chance to work on projects that will build on your technology and business skills, support organizations undergoing large-scale transformation, and help our clients achieve a higher level of service and business value.
Work you’ll do
As a Solution Analyst, you’ll work with an experienced team to act as a strategic advisor to clients through solution implementation and maintenance. The work could span a variety of skillsets, as detailed below.
Knowledge Areas:
* As part of the application process, you will provide preferences for your top choices of areas. Expertise in all knowledge areas is NOT required for the position. *
Data Engineering:
- Construct data pipeline, workflows and schedules to extract, transform, integrate, CI/CD and analyze data from disparate database management systems on various Cloud and On-Premises platforms
Cloud Analytics:
- Implement large-scale data ecosystems including Cloud data platform, Data Lake, DevOps, governance, and the integration of structured and unstructured data to generate insights leveraging various cloud-based platforms
Data Visualization:
- Design, implement and maintain Visualization and business intelligence solutions to present large amounts of data in ways that are universally understandable or easy to interpret and spot patterns, trends and correlations
Data Management:
- Understand the development, collection, analysis, and reporting of data using database/data management tools while adhering to data standards/security, policies, and procedures
- Collaborate with respective team to advise the client on tools and techniques to improve the development, collection, analysis, and reporting of information
Data Science:
- Perform exploratory data analysis and data pre-processing to arrive at patterns to define analytical models
- Work across the end-to-end analytics process, including cleansing and wrangling structured and unstructured data, designing predictive models, extracting insights and findings, visualizing outputs, and communicating outcomes
- Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques
Qualifications
Required
- Bachelor’s degree completed by August 2025 in these or related areas of study
- Analytics, Data Science, Mathematics, Statistics, Computer Science, Machine Learning, other analytics related fields
- Strong academic track record (minimum GPA of 3.0)
- Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
- Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must be able to obtain the required level of security clearance for this role
Preferred skillsets: Comfort with business intelligence, Cloud analytics or data warehousing, data visualization, ETL process, or with specific Data Engineering tools. Experience with R/Python programming, data wrangling/ cleansing, statistical or machine learning modeling. Familiarity with GenAI tools and applications.
Information for applicants with a need for Accommodation
The Team
Our US Delivery Center team is comprised of deeply passionate and experienced professionals who guide clients through their most complex challenges. We work with clients and help them develop custom software solutions, manage their applications and databases, and provide strategic recommendations to help them enhance their businesses’ operations, processes, and performance. Learn more about the US Delivery Center.
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