IAM Data Analytics, Senior

Freddie Mac; Dallas (TX); On-site; USD 126,000 - 190,000; Full time

Job summary

Freddie Mac is seeking a Senior Data Analyst to develop and implement new automation for Identity and Access Management data activities, safeguarding information and reducing security risk. You will analyze controls, propose preventative measures, and support rapid data retrieval with SQL and Excel, creating audit-ready documentation.

This role requires experience in regulated environments, strong SQL/ETL skills, and familiarity with BI tools such as Power BI, Tableau, and QuickSight.

Qualifications

• Typically 5-7 years of related data analysis experience in regulated environments.
• Proficient with enterprise SQL and automated data processing flows (ETL, data semantics).
• Experience with BI/presentation tools: Power BI, Tableau, Tableau Prep and/or QuickSight.
• Excellent written and verbal communication; able to articulate to directors and engineers.
• Ability to establish credibility with stakeholders across the enterprise.

Responsibilities

• Develop and implement new automation for Identity and Access Management data activities.
• Analyze data security controls and identify risk areas; propose procedural prevention and detection measures.
• Support ad hoc data retrieval using SQL queries and Excel; create audit-ready docs.
• Collaborate with security control owners and automate IAM processes with AI-driven approaches.

Skills

SQL

ETL workflows

Data normalization

Communication

Stakeholder management

Education

Bachelor's degree

Tools

PowerBI

Tableau

Tableau Prep

Amazon QuickSight

Power Automate

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac.

Our Impact:

We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy.

Your Impact:

Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices.

Qualifications:

• Typically, 5 - 7 years of related data analysis experience; bachelor's degree or relevant experience is required
• Proven experience working with SQL at an enterprise level Proficient with automated data processing flows including ETL and data semantics/normalization
• Proficient with visual presentation tools, specifically within Microsoft PowerAutomate/PowerBI, Amazon QuickSight, Tableau Prep, and/or Tableau
• Experience working in a regulated environment
• Excellent written and verbal communication skills with the ability to clearly articulate in business and user-friendly languages
• Ability to establish credibility across the enterprise to key business stakeholders, including directors, managers, system engineers, and end users

Keys to Success in this Role:

• Experience with other modern data analysis processes, techniques, and tools (e.g., Alteryx Designer, SQL, Collibra, etc.)
• Financial Services Industry experience

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.