S

SEI

Business and technology consulting services

Data and Analytics Consultant

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

About the Job

Requirements

  • Alignment with the company’s core values of Excellence, Participation, Integrity, and Collaboration.
  • Demonstrated business and technology acumen.
  • Strong written and verbal communication skills.
  • Understanding of and experience solving real business problems.
  • A 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: a bachelor’s degree.
  • Preferred: 8+ years of professional experience.
  • Preferred: experience across the company’s service offerings.
  • Experience architecting and implementing data architecture, data engineering, reporting, and analytical solutions across multiple business functions and domains.
  • Experience with cloud-based data platform technologies such as AWS, Microsoft Azure, or Google Cloud Computing.
  • 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, including Python, Node.js, SQL, and R.
  • Experience with data integration tools and platforms.
  • Experience with relational and dimensional database structures used in data warehousing and analytics solutions.
  • Ability to design and build data models to meet business objectives.
  • Knowledge of modern data technologies including Snowflake, Redshift, Azure SQL/Synapse, and Databricks or similar technologies.
  • 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 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.
  • Experience conducting data management maturity assessments and identifying issues involving data quality, governance, architecture, analytics, metadata management, and master data management.
  • Experience identifying data governance gaps and assessing governance maturity in complex data environments, including implications of technology, processes, and skill levels.
  • Knowledge of data technologies, data architecture frameworks, cloud platforms, and emerging technology trends.
  • Experience transforming clients from on-premises data platforms to the cloud.
  • Experience leading data modernization initiatives involving platform, technology, and tool implementation and adoption.
  • Experience presenting business cases and strategies to C-suite audiences.
  • Industry domain knowledge relevant to custom data and analytics strategies.
  • Experience designing and implementing data-driven products and services.
  • Experience designing and building collaborative business and technology teams that deliver data solutions, data products, and analytics.

Responsibilities

  • Work with clients at all levels of their organizations, from the C-suite to the shop floor, to help deliver strategic initiatives.
  • Break down complex programs and strategic initiatives into actionable components.
  • Lead data modernization initiatives, including implementation and adoption of platforms, technologies, and tools.
  • Conduct data management maturity assessments and identify pain points across data quality, governance, architecture, analytics, metadata management, and master data management.
  • Lead information-gathering sessions and prepare and deliver client presentations, work products, and prototypes.
  • Identify data governance gaps and assess governance maturity in complex data environments, including implications arising from technology, current processes, and skill levels.
  • 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 using data visualization best practices.
  • Contribute to growing the business through activities aligned with individual interests, such as developing business opportunities, conducting interviews to support hiring, managing internal initiatives, or organizing trainings for colleagues.

Desired Qualifications

  • Experience across the company’s service offerings.
  • A bachelor’s degree.
  • 8+ years of professional experience.
  • Experience with cloud-based data platform technologies such as AWS, Microsoft Azure, or Google Cloud Computing.
  • 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 data modeling, data preparation, and machine learning tools such as Alteryx, RapidMiner, RStudio, and Tableau Prep.

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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