Penn Foster
Data and Analytics Consultant
Penn Foster, Miami, Florida, us, 33222
WHO WE LOOK FORAn SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions.As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
WHAT WE DOOur 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 StrategyData GovernanceData ModernizationAdvanced AnalyticsData VisualizationThe ideal candidate's experience may include but is not limited to the following:Experience understanding and solving real business problemsExperience presenting business case and strategy to the C-SuiteIndustry domain knowledge for custom data and analytics strategiesExperience designing and implementing data driven products and servicesExperience designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analyticsIdeal 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 GovernanceFamiliarity with data technologies, data architecture frameworks, cloud platforms and emerging trends in technological advancements.Proven experience in transforming clients from on-prem data platforms to the cloud.Lead data modernization initiatives that include 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.Conduct data management maturity assessments and identify pain points for 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.Data Architecture and EngineeringExperience 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.Experience and knowledge of programming and scripting languages such as Python, Node.JS and SQL.Experience and knowledge of data integration tools and platforms.Experience and 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 VisualizationsExperience 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 SQL, Python and R.Experience with data modeling, data prep 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
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WHAT WE DOOur 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 StrategyData GovernanceData ModernizationAdvanced AnalyticsData VisualizationThe ideal candidate's experience may include but is not limited to the following:Experience understanding and solving real business problemsExperience presenting business case and strategy to the C-SuiteIndustry domain knowledge for custom data and analytics strategiesExperience designing and implementing data driven products and servicesExperience designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analyticsIdeal 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 GovernanceFamiliarity with data technologies, data architecture frameworks, cloud platforms and emerging trends in technological advancements.Proven experience in transforming clients from on-prem data platforms to the cloud.Lead data modernization initiatives that include 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.Conduct data management maturity assessments and identify pain points for 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.Data Architecture and EngineeringExperience 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.Experience and knowledge of programming and scripting languages such as Python, Node.JS and SQL.Experience and knowledge of data integration tools and platforms.Experience and 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 VisualizationsExperience 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 SQL, Python and R.Experience with data modeling, data prep 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
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