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SEI

Business and technology consulting services

Data and Analytics Consultant

Data Management +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • 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; the position is not eligible for immigration sponsorship.
  • Preferred: Bachelor’s degree.
  • Preferred: 8+ years of professional experience.
  • Preferred: Experience across SEI’s service offerings.
  • 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 designing and building high-performance collaborative business and technology teams that deliver data solutions, data products, and data analytics.
  • Familiarity with data technologies, data architecture frameworks, cloud platforms, and emerging technology trends.
  • Proven experience transforming clients from on-premises data platforms to the cloud.
  • Experience architecting and implementing data architecture, data engineering, reporting, and analytical solutions across multiple business functions and domains.
  • Experience conducting data management maturity assessments and identifying pain points in data quality, governance, architecture, analytics, metadata management, and master data management.
  • Experience with cloud-based data platform technologies such as AWS, Microsoft Azure, or Google Cloud.
  • Experience designing and building data platforms supporting data lakes, data stores, data ingestion and transformations, and API services for consuming data.
  • Experience designing and building complex data pipelines that stream data.
  • 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, theories, principles, and practices used in data warehousing and analytics solutions.
  • Ability to design and build data models using appropriate techniques to meet business objectives.
  • In-depth knowledge of modern data technologies such as Snowflake, Redshift, Azure SQL/Synapse, and Databricks.
  • Experience with 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 programming and scripting languages such as SQL, Python, and R.
  • Experience with data modeling, data preparation, and machine learning tools such as Alteryx, RapidMiner, RStudio, and Tableau Prep.
  • Experience deploying enterprise-wide reporting solutions using data visualization best practices.

Responsibilities

  • Work with clients at all organizational levels, from the C-suite to the shop floor, to deliver strategic initiatives.
  • Make realistic, data-driven decisions that deliver tangible value to clients.
  • Understand complex programs and strategic initiatives and break them into actionable pieces.
  • Lead data modernization initiatives that include platform, technology, and tools implementation and adoption.
  • Conduct data management maturity assessments and identify pain points in data quality, governance, architecture, analytics, metadata management, and master data management.
  • Lead information-gathering sessions and prepare and deliver client presentations and work products or prototypes.
  • Identify data governance gaps and assess data governance maturity in complex data environments.
  • Assess implications for data governance arising from technology, current processes, and skill levels in complex data environments.
  • Design and build data platforms supporting data lakes, data stores, data ingestion and transformations, and API services for consuming data.
  • Design and build complex data pipelines that stream data.
  • Design and build data models to meet business objectives.
  • Deploy enterprise-wide reporting solutions leveraging data visualization best practices.
  • Contribute to building and managing SEI’s business, including business development, hiring interviews, internal initiatives that build the company’s brand, and organizing trainings for colleagues.
  • Take on varied day-to-day work as needed to get the job done.

Desired Qualifications

  • Experience across SEI’s service offerings.
  • Bachelor’s degree.
  • 8+ years of professional experience.

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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