Data and Analytics Consultant
Confirmed live in the last 24 hours

501-1,000 employees

Business and technology consulting with custom solutions
Company Overview
Systems Evolution, Inc. (SEI) stands out as a desirable workplace due to its commitment to delivering high-quality, custom-tailored business and technology solutions, fostering a collaborative culture, and empowering its employees through an ownership model. The company's competitive edge lies in its unique business model that combines local delivery with the reach of a national organization, and its expertise in critical areas such as Data & Analytics, Technology Enablement, and Security, Risk and Compliance. SEI's recognition for its collaborative culture and employee ownership model further underscores its position as a leader in the industry.
Industrial & Manufacturing

Company Stage

Later Stage VC

Total Funding





Cincinnati, Ohio

Growth & Insights

6 month growth


1 year growth


2 year growth

Charlotte, NC, USA
Experience Level
Desired Skills
Data Analysis
Microsoft Azure
Power BI
Data & Analytics
  • 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 and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
  • Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices
  • 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
  • Experience across our service offerings