Data Analyst

Job Summary

The Identity and Access Management (IAM) Operations team is seeking a Data Analyst to join the ISAT Data & Automation team. This role will focus on analyzing identity data, delivering actionable insights, and building scalable automation and reporting solutions using low-code/no-code platforms.

The ideal candidate is highly analytical, technically curious, and experienced in working with large datasets, developing dashboards, and automating workflows. This individual will operate within an agile model, working a Jira-driven backlog to prioritize and deliver data, reporting, and automation capabilities that enhance IAM operational efficiency and risk visibility.

 Experience with Microsoft Power Apps, Microsoft Dataverse, and Power BI

 MUST HAVES -

• Experience with large data sets
• Power Apps- Power Bi, Power Automate
• Good Communication (written & verbal)
• Experience writing business cases
• Large Financial Services Exp or Regulated Industry
• Experience with Data Analytics and Manipulation

Nice to have -
Jira
SQL
IAM

Key Responsibilities

Data Analysis & Insights

Analyze large, complex identity and access datasets to identify trends, anomalies, and risk indicators

Transform raw data into meaningful insights to support IAM operational decision-making

Perform data validation, cleansing, and reconciliation across multiple systems and sources

 Dashboarding & Reporting

Design and develop interactive dashboards and reports using Power BI

Create user-friendly visualizations to communicate key IAM metrics, KPIs, and compliance data

Maintain and enhance existing reporting solutions to improve accuracy and usability

 Automation & Low-Code Solutions

Build workflow automations using Power Automate and Power Apps

Develop low-code applications to streamline IAM operational processes

Identify opportunities to reduce manual effort and improve operational efficiency through automation

 Data Engineering & Integration

Connect to and extract data from various structured data sources (e.g., databases, APIs, enterprise systems)

Utilize tools such as Alteryx to prepare, blend, and transform datasets

Support development of scalable data pipelines and reusable data assets

 Agile Delivery Execution

Work from a Jira backlog, managing assigned stories and tasks in an agile framework

Collaborate with team members and stakeholders to refine requirements and deliver incremental value

Provide regular updates on progress, risks, and dependencies

Stakeholder Collaboration

Partner with IAM operations, engineering, and risk teams to understand data needs

Translate business requirements into technical data and automation solutions

Deliver clear, concise communication of findings and solutions

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”