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SEI

Business and technology consulting services

Data and Analytics Consultant

Data Management +1Confirmed live in the last 24 hours
Full-timeCharlotte, NC, USANo salary listedIn-person

About the Job

Requirements

  • Align with the company’s core values of Excellence, Participation, Integrity, and Collaboration.
  • Demonstrate business and technology acumen.
  • Have strong written and verbal communication skills.
  • Understand and have experience solving real business problems.
  • Have a proven track record of delivering results.
  • Have experience working with and/or leading a team.
  • Be able to work across industries, roles, functions, and technologies.
  • Be authorized for permanent employment in the United States; this position is not eligible for immigration sponsorship.
  • Have experience architecting and implementing data architecture, data engineering, reporting, and analytical solutions across multiple business functions and domains.
  • Have experience designing and implementing data-driven products and services.
  • Be familiar with data technologies, data architecture frameworks, cloud platforms, and emerging technology trends.
  • Have experience transforming clients from on-premises data platforms to the cloud.
  • Have experience leading data modernization initiatives, including platform, technology, and tool implementation and adoption.
  • Have experience conducting data management maturity assessments and identifying pain points involving data quality, governance, architecture, analytics, metadata management, and master data management.
  • Be able to lead information-gathering sessions and prepare and deliver client presentations and work products or prototypes.
  • Be able to identify data governance gaps, assess governance maturity in complex data environments, and identify governance implications arising from technologies, current processes, and skill levels.
  • Have experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure, or Google Cloud.
  • Have experience designing and building data platforms supporting data lakes, data stores, data ingestion and transformations, and API services for consuming data.
  • Be able to design and build complex data pipelines that stream data.
  • Have experience or knowledge of programming and scripting languages such as Python, Node.js, SQL, and R.
  • Have experience or knowledge of data integration tools and platforms.
  • Have experience or knowledge of relational and dimensional database structures, theories, principles, and practices used in data warehousing and analytics solutions.
  • Be able to design and build data models using appropriate techniques to meet business objectives.
  • Have in-depth knowledge of modern data technologies such as Snowflake, Redshift, Azure SQL/Synapse, and Databricks or similar technologies.
  • Have experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik, and Spotfire.
  • Have experience with statistical and mathematical modeling, artificial intelligence, and machine learning software and methods.
  • Have experience with data modeling, data preparation, and machine learning tools such as Alteryx, RapidMiner, RStudio, and Tableau Prep.
  • Have experience deploying enterprise-wide reporting solutions using data visualization best practices.

Responsibilities

  • Work with clients at all levels of the organization, from the C-suite to the shop floor, to help deliver their strategic initiatives.
  • Break complex programs and strategic initiatives into actionable pieces.
  • Design and implement data-driven products and services.
  • Lead data modernization initiatives, including implementing and adopting platforms, technologies, and tools.
  • Conduct data management maturity assessments and identify data-related pain points.
  • Lead information-gathering sessions and prepare and deliver client presentations and work products or prototypes.
  • Assess data governance gaps and maturity in complex data environments and determine implications of technologies, processes, and skill levels.
  • Design and build data platforms, data pipelines, data models, and data solutions supporting analytics and reporting.
  • Deploy enterprise-wide reporting solutions using data visualization best practices.
  • Contribute to business development, participate in the hiring process by conducting interviews, manage internal initiatives that build the company’s brand, and organize training to share knowledge with colleagues.
  • Take an active role in building and managing the consulting business and perform the work needed to get client and internal work done.

Desired Qualifications

  • Bachelor’s degree.
  • Eight or more years of professional experience.
  • Experience across the company’s service offerings.

About the Company

SEI

Business and technology consulting services

SEI is an employee-owned professional services firm that provides technology and business management consulting. It helps clients plan, manage, and execute customized solutions for urgent and complex challenges, including technology implementation, project management, and strategic planning, across sectors such as healthcare. Its consultants work closely with clients to tailor approaches, and the employee-owned structure aligns the team’s incentives with client success. The company charges fees for consulting services and operates in multiple locations (including a new office in Charlotte) to serve a diverse client base from large enterprises to smaller firms. The goal is to improve clients’ performance by delivering practical, tailored technology and business strategies through collaborative, locally supported engagements.

Company size
501-1,000
Company stage
Early VC
Total funding
$720K
Headquarters
Cincinnati, OH
Founded
1992

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