IAM Data Analyst

$76,400 - $114,700/Yr

Federal Reserve Bank Of Atlanta - Kansas City, MO

Part-time,Full-time - Entry Level

Onsite - Kansas City, MO

Monetary Authorities-Central Bank

About the position

As an IAM Data Analyst at the Federal Reserve Bank of Kansas City, you will play a crucial role in supporting, leading, and implementing solutions to enhance Identity Data Integrity and Standards across the Federal Reserve System. This position is part of the National IT Identity & Access Management Product offerings, where you will collaborate with a dynamic and diverse team of tech professionals to strengthen and protect the economic, financial, and payments systems of the nation. Your primary responsibility will be to deliver on the vision of aligning data processes and standards that result in Identity data that is easy to use and understand, enabling better decision-making and fostering innovation. You will help create a durable Identity data layer that serves as an authoritative source for automation tools and other Identity data users. In this role, you will work within agile teams to determine strategic direction and tactical implementation. You will be responsible for performing in-depth analysis of Identity data sets, providing input on standards, and developing automated solutions to facilitate remediation to standards, ensuring long-term alignment of data. Your tasks will include collecting, cleansing, analyzing, and validating data prior to its use by the organization and its clients. You will construct and apply standard statistical analysis and models to verify data acceptability and accuracy, as well as configure, operate, and develop methods and processes to test data compliance and quality. Additionally, you will ensure data integrity by implementing quality assurance practices, planning, designing, and performing quality assessments on data elements and structures. This includes documenting and evaluating integrity, completeness, quality, and appropriateness of formats, records, and structures. You will also gather and enter missing data, resolve anomalies, and perform regular and ad hoc reviews, audits, and investigations of data activity and integrity, preparing reports and summaries of findings. Your role will also involve producing, updating, and implementing guidelines and documentation of policies, processes, procedures, and standards, as well as identifying areas for improvement in data collection processes or systems and making recommendations to correct deficiencies. You will work on Extract, Transform, and Load (ETL) processes/projects, either individually or as part of a database/data warehouse team, and perform other duties as assigned.

Responsibilities

• Collects, cleanses, analyzes, and validates data prior to use by the organization and/or its clients.
• Constructs and applies standard statistical analysis and/or models to verify data acceptability/accuracy.
• Configures, operates, and develops manual and/or automated methods, processes, and procedures to test output or input based on data compliance, quality and use requirements as established by product management, client specifications, and governance programs.
• Ensures data integrity by implementing quality assurance practices.
• Plans, designs, develops, and performs quality assessments on data elements and structures to document and evaluate integrity, completeness, quality, and appropriateness of formats, records, and structures.
• Gathers and enters missing data and resolves any anomalies.
• Performs regular and ad hoc reviews, audits, and investigations of data activity and integrity; prepares reports and summaries of findings.
• Produces, updates, and implements guidelines and documentation of policies, processes, procedures, and standards.
• Identifies areas of improvement in data collection processes or systems and makes recommendations to correct any deficiencies.
• Works on Extract, Transform, and Load (ETL) processes/projects, individually or as part of or in conjunction with a database/data warehouse team.
• Performs other duties as assigned.

Requirements

• Relevant bachelor's degree from an accredited college or university, or equivalent combination of directly related education and/or experience (information systems, data science, identity and access management, application integration) equal to 3 - 6 years.
• Knowledge of applicable software development life cycle methodologies (e.g. Scaled Agile Framework).
• Strong ability to work with others to achieve a common goal, resolve conflicts and manage cross-functional and external relationships.
• Passion for data and comfort with ambiguity.
• Advanced knowledge of IAM/AMP/Cloud identity access systems preferred.
• Python and SQL scripting skills preferred.
• Lifetime learner interested in new tools/techniques to advance data analysis skills.
• Self-starter with ability to solve problems by considering available information, prioritizing the work, and making timely decisions.
• Ability to correlate data using standard business and technology tools and approaches, spot trends and apply sound security and risk management principles.

Nice-to-haves

• Advanced knowledge of IAM/AMP/Cloud identity access systems preferred.
• Python and SQL scripting skills preferred.