Big Data Business Analyst – Healthcare Analytics

Agility Partners LLC; Columbus, Northern (OH, KY); Hybrid; USD 75,000 - 110,000; Full time

Benefits offered by this job

Impactful data initiatives

Collaboration with regulatory teams

Exposure to big data platforms

Influence product lifecycle

Job summary

Agility Partners LLC is seeking a Business Analyst – Big Data to join our client in the healthcare services and products industry. You will translate business needs into measurable technical requirements and support the development of data solutions that enable enterprise analytics and regulatory compliance.

You will work with stakeholders, gain exposure to big data platforms, and contribute to the product lifecycle through cross-functional collaboration and data-driven decision making.

Qualifications

• 4+ years in business analysis, requirements definition and systems deployment.
• 1+ years eliciting requirements in a Big Data environment.
• Translate industry issues into technical solutions for data products.
• Experience with big data tools (Hadoop/Hortonworks/Cassandra/Big Insights).

Responsibilities

• Translate business needs into measurable requirements for data products and applications.
• Collaborate with stakeholders to define specifications and validate technical solutions.
• Support QA activities and ensure business requirements are met through testing.
• Document regulatory requirements and facilitate cross-functional alignment.

Skills

Business analysis

Requirements elicitation

Stakeholder collaboration

Big Data awareness

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Hortonworks

Cassandra

Big Insights

Job description

Agility Partners LLC is seeking a Business Analyst – Big Data to join our client in the healthcare services and products industry. You will translate business needs into measurable technical requirements and support the development of data solutions that enable enterprise analytics and regulatory compliance.

You will work with stakeholders, gain exposure to big data platforms, and contribute to the product lifecycle through cross-functional collaboration and data-driven decision making.