Data and Analytics Consultant

SEI•Cincinnati, OH

About The Position

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. 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.

Requirements

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)
Experience understanding and solving real business problems
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
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.

Nice To Haves

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

Responsibilities

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.
Make realistic, data-driven decisions that deliver value in tangible ways to our clients.
Understand complex programs and strategic initiatives and break them into actionable pieces.
Contribute to growing our business by developing business development opportunities.
Conduct interviews to support our hiring process.
Manage internal initiatives that build our brand.
Organize trainings to share knowledge with colleagues.
Understand and solve real business problems.
Present business case and strategy to the C-Suite.
Bring industry domain knowledge for custom data and analytics strategies.
Design and implement data driven products and services.
Design and build high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics.
Transform clients from on-prem data platforms to the cloud.
Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
Architect and implement 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.
Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
Design and build data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data.
Design and build complex data pipelines that either stream data in.
Design and build data models using the appropriate technics to meet business objectives.
Deploy enterprise-wide reporting solutions while leveraging data visualization best practices.