Sr. Data Analyst

IntoneCCM; Ohio; Presencial; USD 90 000 - 120 000; Tempo integral

Resumo da oferta

Intone Inc. is seeking a Senior Data Analyst for a 12-month contract based in Raymond, Ohio. The role focuses on translating business requirements into robust data models, leading stakeholder engagement, and driving data architecture initiatives that align with strategic goals.

You will collaborate across IT, business analytics, and analytics teams to design secure, scalable data solutions and establish governance frameworks ensuring data quality and compliance.

Qualificações

• Bachelor's degree in computer science, data science, engineering, or related field.
• 10+ years of experience designing and implementing enterprise data models.
• Experience with cloud data lakes, data warehousing, data modeling, and analysis.
• Proficiency in modern data architectures, including AWS.
• Experience with real-time data distribution technologies (Kinesis, Kafka, Dataflow).
• Experience with Redshift, Snowflake, and Databricks.
• Experience with multiple database platforms (DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB).
• Understanding of ER modeling, metadata systems, and data security/quality tools.
• Ability to design relational and big-data architectures.
• Experience with BI tools such as Informatica, Power BI, and Tableau.
• Excellent communication and presentation skills.
• Strong analytical and problem-solving skills.
• Ability to collaborate in cross-functional teams with data scientists, analysts, and stakeholders.
• Ability to guide solution design and architecture to meet business needs.
• Experience with Erwin for data modeling is preferred.

Responsabilidades

• Translate high-level business requirements into data models, metadata specifications, test data, and data quality standards.
• Manage senior stakeholders to secure engagement and ensure project delivery aligns with roadmaps.
• Lead and participate in peer review and quality assurance of architectural artifacts.
• Define and manage standards, guidelines, and processes to ensure data quality.
• Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics.
• Establish and maintain governance frameworks for internal teams and vendor partners.
• Understand and apply data confidentiality, security, and compliance requirements across storage, compute, and consumption layers.
• Design data protection solutions at database, table, and column levels, and for APIs.
• Design the structure and layout of data systems, including databases, warehouses, and lakes.
• Select and implement DBMS by defining data schemas and access controls.
• Enhance data pipeline performance, ensure timely orchestration, and uphold data governance.
• Deliver exceptional business value through robust data governance.

Conhecimentos

Data modeling

Stakeholder management

Data architecture

Data governance

Security and compliance

Cloud data platforms (AWS)

Real-time data streaming

Data warehouses

Big data architectures

BI tool familiarity

Formação académica

Bachelor's degree in computer science or related field

Ferramentas

AWS

Kinesis

Kafka

Dataflow

Redshift

Snowflake

Databricks

DB2

MS SQL Server

PostgreSQL

Couchbase

MongoDB

Erwin

Informatica

Power BI

Tableau

Descrição da oferta de emprego

We are seeking a Senior Data Analyst for a 12-month contract position based in Raymond, Ohio. In this role, you will translate business requirements into robust data models, lead stakeholder engagement, and drive data architecture initiatives that align with strategic objectives. You will collaborate across IT teams, business analysts, and analytics teams to design secure, scalable data solutions and establish governance frameworks that ensure data quality and compliance.

Responsibilities

• Translate high-level business requirements into data models, metadata specifications, test data, and data quality standards.
• Manage senior business stakeholders to secure strong engagement and ensure project delivery aligns with longer-term strategic roadmaps.
• Lead and participate in peer review and quality assurance of project architectural artifacts.
• Define and manage standards, guidelines, and processes to ensure data quality across the organization.
• Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics.
• Establish and maintain governance frameworks for internal teams and vendor partners.
• Understand and apply data confidentiality, security, and compliance requirements, including data protection rules across storage, compute, and consumption layers.
• Design data protection solutions at database, table, and column levels, and for APIs, based on enterprise standard data security and privacy principles.
• Design the structure and layout of data systems, including databases, warehouses, and lakes.
• Select and implement database management systems by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
• Enhance data pipeline performance, ensure timely orchestration, and uphold data governance to deliver exceptional business value.

Qualifications

• Required
  • Bachelor's degree in computer science, data science, engineering, or related field.
  • At least 10 years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
  • Experience leading projects involving cloud data lakes, data warehousing, data modeling, and data analysis.
  • Proficiency in design and implementation of modern data architectures and concepts, including cloud services (AWS).
  • Experience with real-time data distribution technologies such as Kinesis, Kafka, and Dataflow.
  • Experience with modern data warehouse tools including Redshift, Snowflake, and Databricks.
  • Experience with multiple database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, and MongoDB.
  • Understanding of entity-relationship modeling, metadata systems, and data security and quality tools and techniques.
  • Ability to design traditional/relational and modern big-data architecture based on business needs.
  • Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau.
  • Exceptional communication and presentation skills.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.
  • Ability to guide solution design and architecture to meet business needs.
• Preferred
  • Experience with Erwin for data modeling.