SEI
Data and Analytics Consultant
SEI, Cincinnati, Ohio, United States, 45208
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:
Experience understanding and solving real business problems
Experience presenting business cases and strategy to the C-Suite
Industry domain knowledge for custom data and analytics strategies
Experience designing and implementing data-driven products and services
Experience 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, or Data Governance professionals. Experience may include but is not limited to the following:
Data Strategy and Governance
Familiarity with data technologies, data architecture frameworks, cloud platforms, and emerging trends in technological advancements. Experience transforming clients from on-prem data platforms to the cloud. Leading data modernization initiatives including platform, technology, and tools implementation and adoption. Experience 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 complex data environments. Data Architecture and Engineering
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, transformations, and API services. Ability to design and build complex data pipelines. Experience with programming and scripting languages such as Python, Node.js, and SQL. Experience with data integration tools and platforms. Knowledge of relational and dimensional database structures used in data warehousing and analytics solutions. Ability to design and build data models using appropriate techniques to meet business objectives. Knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synapse, Databricks, or similar technologies. Advanced Analytics and Data Visualizations
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 with data modeling, data preparation, and machine learning tools like Alteryx, RapidMiner, RStudio, and Tableau Prep. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices. 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 with their interests. 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, and 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
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Familiarity with data technologies, data architecture frameworks, cloud platforms, and emerging trends in technological advancements. Experience transforming clients from on-prem data platforms to the cloud. Leading data modernization initiatives including platform, technology, and tools implementation and adoption. Experience 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 complex data environments. Data Architecture and Engineering
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, transformations, and API services. Ability to design and build complex data pipelines. Experience with programming and scripting languages such as Python, Node.js, and SQL. Experience with data integration tools and platforms. Knowledge of relational and dimensional database structures used in data warehousing and analytics solutions. Ability to design and build data models using appropriate techniques to meet business objectives. Knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synapse, Databricks, or similar technologies. Advanced Analytics and Data Visualizations
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 with data modeling, data preparation, and machine learning tools like Alteryx, RapidMiner, RStudio, and Tableau Prep. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices. 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 with their interests. 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, and 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
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