Senior Analytics Engineer

About Eleven Recruiting We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place. Our client, an investment firm, is seeking a Senior Analytics Engineer to join their team in Los Angeles, CA! The Analytics Engineer will contribute to the design, maintenance, and development of logical, relational, and dimensional data models across the firm's data warehouse environment. This individual will play a pivotal role in shaping the overall data architecture, ensuring the effective design, implementation, and ongoing optimization of the firm's internal and enterprise data assets. Responsibilities: • Work closely with cross-functional stakeholders to assess current data architecture and develop future-state architectures that align with organizational goals. • Lead discussions around business requirements, data needs, and technological capabilities to ensure that solutions meet both present and future needs. • Analyze data to test theories and further the development of the data models. • Prototype solutions in analytics tools to help user interact with and test solutions. • Ensure that models are aligned with business requirements and that they can evolve with future data demands. • Provide thought leadership on best practices in data modeling, and work to create scalable, efficient data models that support business objectives. • Diagnose data issues, perform in-depth data analysis, and collaborate with stakeholders to develop and implement solutions. • Identify and analyze atypical data outcomes, perform root cause analysis, and implement corrective actions. • Develop strong partnerships with internal teams to uncover and define new data sources and structures that will support business growth. • Ensure that all data architectures and models adhere to internal data governance policies and comply with security standards (including PHI masking, information security regulations, and other IT-enforced controls). • Work with data governance teams to ensure that best practices are followed, reducing risk across the enterprise. • Ensure all data models, processes, and requirements are clearly documented and that timelines and milestones are properly established and adhered to. Qualifications: • Bachelor’s degree in Computer Science, Finance, or other relevant discipline. • 5+ years relevant experience, preferably in the financial services industry. • Strong and proven oral and written communication skills. • A team player who works well with functional and technical resources. • Expertise in SQL, Python and analytics tools (PowerBI, Tableau, Qlik). • Ability to manage and prioritize tasks in a dynamic environment, ensuring milestones and timelines are met. • Solid understanding of information security and data privacy protocols, including compliance with data use and licensing agreements. • Ability to thrive in a fast-paced, culturally diverse environment and quickly learn new technologies. • Experience in managing data governance, including the handling of PHI and ensuring compliance with organizational security policies. Knowledge, Skills & Abilities: • Relationship Building: works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. • Communication: strong interpersonal and verbal/written communication skills; ability to present complex material. • Independence & Collaboration: experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. • Work Ethic: focus on continual development, performance, accountability, and self-motivation. • Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. • Intellectual Curiosity: energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. • Driving Results: sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. • Judgment: makes recommendations and decisions that balance a variety of factors.