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Data Intelligence Analyst Jobs in Rochester, NY (NOW HIRING)

SQL Data Analyst Endeavor Streaming, part of Endeavor, is building the worlds most advanced content ... Must have experience working with an off-the-shelf Business Intelligence Dashboard product.

JOB TITLE: Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Artificial intelligence is not used to screen, assess or select applicants.

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics ...

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics ...

Lead AI and Data Science Engineer II

Rochester, NY · On-site

$101K - $133K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Data Intelligence Analyst information

See Rochester, NY salary details

$21.2K

$81.4K

$148K

How much do data intelligence analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data intelligence analyst in Rochester, NY is $81,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a data intelligence analyst?

Data Intelligence Analysts are professionals who collect, analyze, and interpret large sets of data to help organizations make informed decisions. They use various data tools and methodologies to identify trends, patterns, and insights that can improve business operations, strategy, and competitiveness. Their work often involves cleaning and organizing data, creating reports or dashboards, and communicating findings to stakeholders. Data Intelligence Analysts play a crucial role in helping companies leverage data for strategic advantage.

How does a data intelligence analyst typically collaborate with other departments within an organization?

Data Intelligence Analysts frequently work cross-functionally, partnering with teams like marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often attend meetings with stakeholders to discuss business objectives, clarify reporting requirements, and present findings. Collaboration is key, as analysts must communicate complex data trends in a clear way to non-technical staff and ensure that their analyses align with broader organizational goals. This teamwork helps drive data-driven decision-making across various departments.

What are the key skills and qualifications needed to thrive as a data intelligence analyst, and why are they important?

To thrive as a Data Intelligence Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by a relevant degree. Familiarity with tools like SQL, Python, Tableau, and data warehousing systems, as well as certifications such as Certified Analytics Professional (CAP), is often required. Excellent problem-solving, communication, and critical thinking skills help analysts translate complex data into actionable business insights. These abilities are essential for driving data-driven decision-making and delivering impactful results to organizations.

Are data intelligence analysts paid well?

Data intelligence analysts typically earn competitive salaries that vary based on experience, education, and location. They often require skills in data analysis tools like SQL, Python, or Tableau, and certifications can enhance earning potential. Overall, the role is considered well-compensated within the data and analytics field.

Cyber Intelligence Vice President -Blockchain

JPMorgan Chase & Co.

Rochester, NY • On-site

$180 - $300/hr

Other

Posted 6 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Join a team where your expertise in blockchain security and threat intelligence will directly protect one of the world's most sophisticated financial institutions. At JPMorganChase, you will have the opportunity to work at the forefront of digital asset security, leveraging cutting-edge tools and intelligence-driven methodologies to defend institutional blockchain infrastructure. This role offers unparalleled exposure to emerging on-chain threats, cross-functional collaboration, and the chance to shape the future of cybersecurity in financial services.

As a Blockchain Intelligence Vice President at JPMorganChase within Cybersecurity & Tech Controls, you will contribute significantly to safeguarding the organization's digital assets and infrastructure by proactively identifying, tracking, detecting, assessing, and responding to threats, vulnerabilities, and security incidents. You will regularly collaborate with cross-functional teams to develop a coordinated approach to security, ensuring the integrity, confidentiality, and availability of sensitive data and systems. You will apply advanced analytical, technical, and problem-solving skills to enable operational excellence and implement innovative solutions to address complex security challenges. By staying current with industry best practices, policies, and procedures, you will contribute to maintaining a secure digital environment and driving continuous improvement in the firm.

Embrace the challenge of securing institutional blockchain infrastructure at scale, delivering intelligence-driven operational excellence across on-chain monitoring operations, and implementing cutting-edge detection capabilities for smart contract and digital asset security.

Job responsibilities
  • Execute and influence the design of comprehensive security and threat intelligence strategies, policies, and procedures to enhance threat detection capabilities and protect the organization's digital assets, smart contracts, and blockchain infrastructure from cybersecurity threats
  • Proactively monitor and analyze complex on-chain and off-chain data and systems to identify indicators of vulnerabilities and compromises, utilizing advanced tools and techniques to detect anomalies and contribute to the development of strategies for security investigation, threat mitigation, and incident response
  • Produce actionable threat intelligence products including indicator of compromise development, exploit analysis reports, and threat actor tracking to inform detection engineering and security operations.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate threat intelligence synthesis and prioritization, validating outputs and handling data according to sensitivity and security requirements.
  • Collaborate with cross-functional teams to ensure a coordinated approach to blockchain and enterprise security, sharing threat intelligence insights, and promoting best practices across the organization
  • Evaluate and enhance the organization's security posture by staying current with industry trends, emerging on-chain threats, threat actor tactics, techniques, and procedures, and regulatory requirements, driving innovation and process improvements.
  • Drives reuse-first adoption of AI-assisted workflows to improve threat hunting and detection engineering productivity, ensuring outputs are validated and aligned to security expectations.
  • Partner with detection engineering teams to translate intelligence findings into scalable, automated detection rules and monitoring frameworks
  • Contribute to the development and continuous improvement of incident response playbooks specific to blockchain and digital asset threat scenarios
Required qualifications, capabilities, and skills
  • Formal training or certification on cyber intelligence concepts and 5+ years applied experience.
  • Demonstrated expertise in multiple security domains, including network security, malware analysis, threat hunting, threat intelligence production, and security architecture and design, with proficiency in using Security Information and Event Management (SIEM) tools and advanced analytics techniques
  • Advanced knowledge of network and infrastructure configuration and security, including experience in designing and implementing security solutions for on-premises, cloud, or hybrid environments.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support threat intelligence, detection engineering, and security research workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted intelligence findings and detection recommendations before implementation, escalating when uncertain and following security and data handling requirements.
  • Proven ability to analyze complex on-chain and off-chain data to identify threat indicators, anomalies, and patterns indicative of malicious activity
  • Strong written and verbal communication skills with the ability to produce clear, concise, and actionable intelligence reports for both technical and non-technical stakeholders
  • Experience working in cross-functional environments, coordinating with security operations, engineering, and risk teams to drive coordinated threat response
Preferred qualifications, capabilities, and skills
  • Familiarity with broader blockchain security concepts such as consensus mechanisms, smart contract vulnerability classes, blockchain threat actor landscape, and multi-chain monitoring approaches
  • Experience with digital asset platforms, decentralized finance protocols, or blockchain forensics tooling
  • Knowledge of regulatory frameworks and compliance requirements relevant to digital assets and financial services cybersecurity
  • Relevant industry certifications such as Certified Information Systems Security Professional (CISSP), GIAC Cyber Threat Intelligence (GCTI), or equivalent

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