JPS Tech Solutions is hiring: Data Analyst IV in Chicago
JPS Tech Solutions, Chicago, IL, United States, 60290
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Job Category: Analysts
Job Type: Remote
Job Location: Chicago, Illinois
Compensation: Depends on Experience
W2: W2-Contract Only; applications on a C2C basis will not be considered for this role.
Job Description
We are seeking a Business Intelligence Analyst to drive the measurement, visualization, and reporting of our Digital Identity & Access Management (IAM) program. This individual will design and deliver advanced analytics and dashboards using Amazon QuickSight, helping cybersecurity and compliance leaders monitor identity control performance, risk posture, and adherence to frameworks such as NIST 800-53 and Zero Trust Identity principles.
You will collaborate closely with Identity Engineering, Cyber Governance, and Risk Management teams to transform IAM data into clear, actionable insights that improve our enterprise identity security posture and enable evidence-based decision‑making.
Key Responsibilities
- Identify and aggregate data sources to support executive level metrics and reporting related to compliance, adoption, and security trending.
- Design dashboards and dashboard filtering/look and feel based on requirements for executive level reporting.
- Define automation and support offline/async reporting until automated dashboard items can be put in place.
- Work with spreadsheets and mass data extracts for offline reporting as needed.
- Work with AWS Quicksight for dashboard design and metrics extraction.
- Design, build, and maintain Amazon QuickSight dashboards to visualize IAM KPIs, KRIs, and operational trends.
- Develop automated data pipelines and reports using AWS data services (e.g., S3, Redshift, Athena, Glue).
- Translate identity compliance controls from NIST 800-53 (especially AC, IA, and AU families) into quantifiable, data‑driven metrics.
- Create executive‑level visualizations that communicate compliance, risk, and maturity of IAM capabilities.
- Ability to translate technical data into clear visualizations and stories for non‑technical audiences.
- Develop and maintain metrics libraries mapped to IAM controls such as:
- Access provisioning/deprovisioning timeliness
- MFA and SSO adoption & enforcement
- Identity lifecycle automation success rates
- Role/entitlement review compliance
- Monitor and analyze IAM data to identify anomalies, trends, and optimization opportunities aligned with Zero Trust and least privilege principles.
- Partner with Cyber Governance to produce recurring compliance dashboards that demonstrate control effectiveness aligned with NIST 800-53, ISO 27001, and internal audit requirements.
- Support continuous monitoring and audit‑readiness through data‑backed evidence and self‑service reporting.
- Define metric definitions, thresholds, and data quality standards to ensure consistency and traceability.
Required Qualifications
- 3–5 years of experience in a Business Intelligence, Data Analytics, or Cybersecurity reporting role.
- Strong proficiency in Amazon QuickSight, SQL, and data modeling for large, complex datasets.
- Solid understanding of Identity & Access Management concepts, including:
- Microsoft Entra ID (Azure AD) user and group management
- Duo Security MFA deployment and reporting
- SSO and federation standards (SAML, OIDC, OAuth)
This Person Will Be Assisting With
- Increased visibility into IAM control performance through automated dashboards.
- Reduced manual reporting effort across compliance and identity teams.
- Improved measurement of MFA, SSO, and provisioning compliance against NIST 800-53.
- Enhanced leadership decision‑making through data‑driven insights and trend analysis.
- Privileged Access Management (PAM) and identity lifecycle workflows.
- Knowledge of NIST 800-53 access control and identity‑related control families.
- Experience building or automating metrics and dashboards to support security compliance and executive reporting.
- Excellent communication skills and the ability to translate technical data into business‑friendly insights.