Full-Time

Data and Analytics Consultant

Confirmed live in the last 24 hours

SEI

SEI

501-1,000 employees

Employee-owned consulting for business solutions

Consulting
Enterprise Software

Senior

No H1B Sponsorship

Nashville, TN, USA

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Power BI
Microsoft Azure
Redshift
Python
R
Node.js
SQL
Tableau
AWS
Databricks
Data Analysis
Snowflake
Requirements
  • Alignment to our 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)
  • Bachelor’s degree
  • 8+ years professional experience
Responsibilities
  • 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
  • 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.
  • 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 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.

SEI provides consulting services focused on business and technology management. The firm works with clients to create customized solutions that address specific challenges in various sectors, including healthcare. SEI's consultants collaborate closely with clients to ensure that each project is tailored to their unique needs, which can involve project management, technology implementation, and strategic planning. What sets SEI apart from its competitors is its employee-owned structure, which fosters a strong commitment to client success and service quality. The company's goal is to deliver high-quality consulting services that help organizations improve their performance through effective use of technology and business strategies.

Company Stage

Seed

Total Funding

$705.3K

Headquarters

Cincinnati, Ohio

Founded

1992

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

17%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for digital transformation boosts SEI's consulting opportunities.
  • Employee-owned model increases engagement and retention, benefiting SEI's service quality.
  • Rising importance of data analytics creates opportunities for SEI's specialized services.

What critics are saying

  • Increased competition from AI-adopting firms threatens SEI's market share.
  • Rapid technological changes may outpace SEI's service updates, risking client loss.
  • Economic uncertainty could reduce business spending on SEI's consulting services.

What makes SEI unique

  • SEI is an employee-owned firm, enhancing commitment and service quality.
  • SEI offers tailored solutions, ensuring client-specific business and technology strategies.
  • SEI has a strong presence in multiple locations, including a new office in Charlotte.

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