Company Overview
SEI is a management consulting firm known for delivering innovative insights and dependable results.
With over 30 years of proven experience, we believe there’s always a better way to conduct business. We partner with some of the world’s most well-known brands to tackle challenges, uncover new opportunities, and help them achieve more than they could on their own. If you haven’t heard of us, that’s intentional.
At SEI, our focus is on letting our work speak for itself. We provide straightforward, effective solutions without unnecessary overhead or flashy presentations that waste clients’ time and money. Our nationwide team offers practical, no-nonsense strategies rooted in real-world expertise and experience.
About the Job
Who We’re Looking For
At SEI, we value individuals who are exceptional communicators and attentive listeners—people who intuitively understand how to read a room and tailor their approach accordingly. Our consultants are highly self-aware and capable of adapting their support and solutions to meet unique client needs. They take a logical, data-driven approach to problem solving, consistently identifying patterns others might overlook and asking the right questions to drive impactful outcomes.
SEI team members are natural connectors—not just of people, but of data, ideas, and experiences. They are mature, humble, authentic, and consistently go the extra mile for both clients and colleagues. Integrity is at the heart of who we are: SEI professionals are dependable, ethical, and grounded in their values, even under pressure.
We are curious by nature, passionate about learning, and excited by innovation. Many of us are tech-savvy early adopters who thrive in dynamic environments. Because no two projects are the same, adaptability is key. SEI professionals are ambitious in a unique way—they’re driven, down-to-earth individuals who enjoy spending time together outside of work, fostering a collaborative and accountable team culture.
What We Do
SEI’s Data and Analytics consultants work alongside all levels of our clients’ organizations—from executives to operations teams—delivering practical, data-driven strategies that lead to real business value. We’re known for translating complex challenges into actionable, impactful solutions. Our clients turn to us when they need a unique combination of technical expertise, business insight, and a collaborative mindset.
We’re currently seeking skilled professionals in the following areas:
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Data Strategy
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Data Governance
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Data Modernization
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Advanced Analytics
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Data Visualization
What You’ll Bring
Ideal candidates may have experience as Data Architects, Data Engineers, Data Scientists, Analysts, or Data Governance specialists. Your background may include:
Business Insight & Strategy
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A track record of solving real-world business problems using data.
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Experience presenting strategies and business cases to senior leadership or the C-suite.
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Industry expertise to inform tailored data and analytics solutions.
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Ability to design and implement data-driven products and services.
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Proven leadership in building and guiding high-performing data and analytics teams.
Data Strategy & Governance
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Strong knowledge of data technologies, architectural frameworks, cloud solutions, and emerging tech trends.
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Experience leading data modernization efforts, including cloud migrations and platform/tool adoption.
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Ability to architect and implement end-to-end data solutions across various business domains.
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Conducting assessments of data management maturity and identifying issues in data quality, governance, architecture, and more.
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Identifying governance gaps and assessing complex data ecosystems for areas of improvement.
Data Architecture & Engineering
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Proficiency with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud.
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Experience designing and developing platforms for data lakes, data stores, ingestion pipelines, transformations, and APIs.
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Familiarity with programming and scripting languages like Python, Node.js, and SQL.
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Expertise in data integration tools and relational/dimensional database structures.
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Hands-on experience with modern data platforms like Snowflake, Redshift, Azure SQL/Synapse, or Databricks.
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Ability to create data models aligned with specific business objectives.
Advanced Analytics & Visualization
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Expertise in data visualization tools such as Tableau, Power BI, Qlik, or Spotfire.
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Experience with statistical modeling, artificial intelligence, and machine learning techniques and tools.
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Proficiency in programming languages such as SQL, Python, and R.
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Familiarity with tools like Alteryx, RapidMiner, RStudio, and Tableau Prep for data prep and modeling.
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Proven success in deploying enterprise-level reporting solutions while following data visualization best practices.