SEI is a management consulting firm delivering fresh perspectives and reliable results.

There’s always a better way to do business — and we’ve got 30 years of evidence to prove it. We help some of the world’s most recognizable brands solve problems, create opportunity, and achieve more than they could alone. If you haven’t heard of us, that’s by design.

At SEI, we let the work do the talking. We deliver results without the overhead and flash that costs clients time and money. Instead, our national team creates no-nonsense solutions grounded in real-world perspectives and expertise.

Because if we’ve learned anything since 1992, it’s that great work speaks for itself.

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

Data Strategy
Data Governance
Data Modernization
Advanced Analytics
Data Visualization
The ideal candidate’s experience may include but is not limited to the following:

Have experience understanding and solving real business problems

Have experience with presenting business case and strategy to the C-Suite

Bring industry domain knowledge for custom data and analytics strategies

Experience in designing and implementing data driven products and services

Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:

Data Strategy and Governance:

Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.

Proven experience in transforming our clients from on-prem data platforms to the cloud.

Lead data modernization initiatives that include platform, technology and tools implementation and adoption.

Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.

Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.

Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.

Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering:

Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.

Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data

Ability to design and build complex data pipelines that either stream data in

Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Experience and knowledge of data integration tools and platforms

Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions

Ability to design and build data models using the appropriate technics to meet business objectives

In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations:

Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire

Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods

Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R

Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep

Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions

Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

QUALIFICATIONS

Required-

Alignment to our core values: Excellence, Participation, Integrity and Collaboration

Hungry, Humble, Smart

Demonstrated business and technology acumen
Strong written and verbal communication skills

Understanding and experience solving real business problems
Proven track record of delivering results

Experience working with and/or leading a team

Ability to work across industries, roles, functions & technologies

Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

Bachelor’s degree
8+ years professional experience
Experience across our service offerings