Data and Analytics Consultant at SEI | Washington, United States | Rezi

Data and Analytics Consultant at SEI

Data and Analytics Consultant

SEI · Washington, United States

2 weeks ago

Data and Analytics Consultant

SEI · Washington, United States

18 days ago
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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 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 interests such as 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)
  • Intimate familiarity 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
  • 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
  • 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
  • In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies
  • 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 deploying enterprise-wide reporting solutions while leveraging data visualization best practices

Skills

  • Data Strategy
  • Data Governance
  • Data Modernization
  • Advanced Analytics
  • Data Visualization
  • Cloud platforms
  • Data architecture
  • Data engineering
  • Reporting
  • Analytical solutions
  • Data management
  • Metadata management
  • Master data management
  • AWS
  • Microsoft Azure
  • Google Cloud Computing
  • Python
  • Node.JS
  • SQL
  • Data integration tools
  • Relational database structures
  • Dimensional database structures
  • Data warehousing
  • Snowflake
  • RedShift
  • Azure SQL/Synaspe
  • Databricks
  • Tableau
  • Power BI
  • Qlik
  • Spotfire
  • Statistical modeling
  • Mathematical modeling
  • Artificial intelligence
  • Machine learning
  • R
  • Alteryx
  • RapidMinder
  • RStudio
  • Tableau Prep

Location

  • United States
  • Seattle

Work Type

  • Full-time

Experience Level

  • 8+ years professional experience

Education Level

  • Bachelor's degree

Salary/Compensations

  • $120,000—$185,000 USD

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k)-retirement plan
  • Disability insurance
  • Life insurance
  • Paid holidays
  • Paid time off
  • Paid parental leave benefits

About the Company

  • 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.
  • 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.
  • The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.
  • To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.
  • To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.
  • In compliance with the Washington Transparency Law:
  • This range below is an estimate depending on location, hours, operational needs, education, training, skills, and experience.
  • This job may also be eligible for a discretionary bonus.

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