Data and Analytics Consultant

About the role

WHO WE LOOK FOR An 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 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: Have experience understanding and solving real business problems Have 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 Ideal 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 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 technolo