Data Analytics Sr. (Hybrid Work Schedule)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Do you have passion for understanding customer needs and using technology to deliver value and thrive in a fast-paced and constantly evolving environment? If you have proven data and system analysis experience and enjoy working with a team of varying skills to collectively discover new opportunities to delight customers, a role on the Single-Family Data & Decisions – Modern Delivery team could be a fit for you!

The Data Analytics Sr will be part of the Business Intelligence and Data, Modern Delivery team in the Single-Family line of business helping to transform the way in which Freddie Mac does business!

We are looking for a versatile Systems and Product Analyst who is energetic, brings fresh and creative perspective with constant collaboration and out of box thinking. The ideal candidate is quick learner, independent, flexible, comfortable working in an agile and iterative product delivery environment and has a customer centric mind set.

**This position is a hybrid work schedule, requiring 2 days in the office and 3 days remote**

Our Impact:

We are a BI and Analytics team that optimizes and visualizes data in a cost-effective and speed-to-market manner to serve various data analytics and reporting needs. We drive strategies and influence roadmaps to modernize and adopt Cloud/Hadoop technologies.

Your Impact:

• Work with product owner and the team to scope & plan changes
• Document well written User Stories based on communication, discussion, meetings
• Facilitate requirements capturing and user story grooming sessions with stakeholders and document user-stories with clear acceptance criteria
• Help prioritize and plan the upcoming sprints
• Partner with Development team and Architects to find innovative solution
• Work with teammates to clarify the requirements and scope and test developed solutions to ensure accurate business outcomes
• Work with other interface teams including the data model, architecture, support teams and be a crucial liaison in iteratively developing and maturing the product
• Work with product owners, developers, and analysts to define, develop, and deliver product enhancements and new products
• Support day to day operations, and projects by performing impact analysis (including upstream and downstream), UAT testing, data analysis/lineage, and other technical/business support.

Qualifications:

• Five or more years of related work experience
• Strong problem-solving, data analysis, advanced SQL skill is a must
• Experience in business, system, data analysis is required
• Bachelor’s degree required
• Secondary Mortgage Market or Financial Services experience is preferred
• Python skills is preferred

Keys to Success in this Role:

• Work independently and in a collaborative team setting
• Strong communication skills and curiosity mind set
• Analyze, and evaluate data requests and articulate business requirements

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.