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About the Role

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.

Responsibilities

Understanding and solving real business problems
Presenting business case and strategy to the C-Suite
Bringing industry domain knowledge for custom data and analytics strategies
Designing and implementing data driven products and services
Designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics
Transforming clients from on-prem data platforms to the cloud
Leading data modernization initiatives that include platform, technology and tools implementation and adoption
Architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains
Conducting data management maturity assessments and identifying pain points for data quality, governance, architecture, analytics, metadata management, and master data management
Demonstrating a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes
Identifying data governance gaps and assessing data governance maturity in a complex data environment
Identifying the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment
Designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
Designing and building complex data pipelines that stream data
Designing and building data models using appropriate techniques to meet business objectives
Deploying enterprise-wide reporting solutions while leveraging data visualization best practices
Taking an active role in building and managing the business
Contributing to growing the business in ways that align to their interests
Growing business development opportunities
Conducting interviews to support the hiring process
Managing internal initiatives that build the brand
Organizing trainings to share knowledge with colleagues

Requirements

Alignment to 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)
Intimately familiar with data technologies, data architecture frameworks, cloud platforms and emerging trends in technological advancements
Experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains
Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions

Skills

Data Strategy
Data Governance
Data Modernization
Advanced Analytics
Data Visualization
Cloud-based data platform technologies (AWS, Microsoft Azure, Google Cloud Computing)
Data lakes
Data stores
Data ingestion and transformations
API services
Data pipelines
Programming and scripting languages (Python, Node.JS, SQL)
Data integration tools and platforms
Relational and dimensional database structures
Data warehousing
Analytics solutions
Data models
Modern data technologies (Snowflake, RedShift, Azure SQL/Synaspe, Databricks)
Data visualization technologies (Tableau, Power BI, Qlik, Spotfire)
Statistical and mathematical modeling
Artificial intelligence
Machine learning software and methods
Programming and scripting languages (SQL, Python, R)
Data modeling
Data prep
Machine learning tools (Alteryx, RapidMinder, RStudio, Tableau Prep)
Enterprise-wide reporting solutions

Location

United States

Work Type

Full-time

Experience Level

8+ years professional experience

Education Level

Bachelor's degree

About the Company

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

Equal Opportunity

Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law