CW Sr Systems Analyst

This is a Non-Employee Contingent Worker Role providing services for TIAA's family of companies and will be employed by TIAA's preferred 3rd Party Supplier. As a Non-Employee CW, perform a variety of moderately complex business planning, support, and project-related duties. Demonstrates an exceptional standard of quality and holds themselves accountable to achieving excellent results.

This role will sit onsite, likely in a hybrid capacity, at the location(s) listed in this posting.

The anticipated term of this engagement will be 12 months. This term could be extended based on company business needs.

CW-Information Systems Analyst II

The Systems Analysis job participates in the designing of information systems that are appropriate for users' needs and consistent with the overall design of the organization's information systems architecture. Working under general supervision, this job is responsible for analyzing information from system users to formulate the scope and objectives of the system and preparing the design of possible systems solutions.

Key Responsibilities and Duties

• Defines system scope through research and fact-finding to develop or modify moderately complex information systems.
• Prepares flow charts, models, and procedures and conducts feasibility studies to design possible system solutions.
• Prepares technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system.
• Collaborates with system analysts, engineers, and programmers to design systems and to determine project limitations and capabilities, performance requirements, systems performance standards, and interfaces.
• Analyzes and proposes revisions to existing system logic difficulties and documentation as necessary.
• Assists in the development of training sessions and demos for end users.
• Monitors the efficiency and effectiveness of application operations and troubleshooting problems, as necessary.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 2+ Years Required; 3+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level

6IC

The Sr Systems Analyst provides data readiness services for facilitating conversions from competitive systems to any of the company products, offering data supported recommendations. This job is responsible for examining and identifying data patterns and trends to support business and technology operations under limited supervision. Exceptional communication required, with ability to adjust approach based on audience.

Key Responsibilities and Duties

• In all facets, being a problem solver, whether it's a technical, process or business challenge
• Communicate insights from analysis to management to enable data driven decision making that will improve business performance and operational outcomes
• Translates business questions and problems into hypotheses/questions that can be answered with existing data sets and by conducting research
• Proves/disproves hypotheses with data and business acumen knowledge
• Explains complex data sets/analysis/insights in an understandable manner
• Applies mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives
• Utilizes trends found from modeling to inform other lines of business such as product development and customer experience
• Creates data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential future business decisions
• Identifies areas of opportunity and risk through data analysis and modelling
• Provides information for additional research and analysis in line with statistical methodology
• Partners with other areas of the business to model the potential outcomes of implementing various business strategies

Required Qualifications

• Bachelor's Degree Required; Master's Degree Preferred
• 3-Years Required; 5-years Preferred
• Proficiency with Python and associated data science libraries
• SQL experience and command of query design and optimization
• Knowledge of different types of databases (e.g. relational, document, key/value) as well as experience with particular implementations and cloud versions such as Snowflake
• Ability to collaborate with technical and business teams to identify specific business opportunities and use data to support decision making.
• Ability to work within a fast-paced environment with quickly changing priorities. Work independently or on a team.
• Ability to exercise judgment as it relates to business decisions and their effects on stakeholders. Critical thinking skills.
• Must be a fast learner and willing to learn independently
• The right candidate for this job is a problem solver who can also consult with business partners to solve business problems with their expertise and tools at hand

Preferred Qualifications

• Machine learning background with an understanding of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• Data science and machine learning platforms like SageMaker, Domino Data Lab
• ML models using Deep Learning frameworks like TensorFlow
• Financial Industry background
• Customer Experience and Customer Journey models

Related Skills

Start Date: 25-Sep-2023

End Date: 25-Sep-2024

Travel Required: No

Base Pay Range: $63.46/hr. - $73.64/hr.

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.

Equal Opportunity

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Read more about the Equal Opportunity Law here.

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Phone: (800) 842-2755

Email: [email protected]

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