Job Description
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 Data Product Analyst to join their team in Los Angeles, CA!
Responsibilities:
- Data Dictionary Management: Develop, maintain, and update a Comprehensive Data Dictionary, ensuring all critical attributes across client's data ecosystem are defined and standardized.
- Conceptual Data Model Ownership: Continuously refine client's Conceptual Data Model, ensuring their key data domains and entities and their interconnectivity are captured.
- Stakeholder Engagement: Collaborate closely with business data owners, end-users, and other stakeholders to understand data needs, challenges, and objectives.
- Data Analysis: Analyze existing data sources and workflows to identify gaps, redundancies, and opportunities for improvement.
- Requirements Gathering: Create clear and detailed documentation of data requirements, including data definitions, sources, formats, and relationships, ensuring alignment with business objectives.
- Support: Provide ongoing support and training to business users on the use of the Data Dictionary and Conceptual Data Model.
- Comprehensive Documentation: Develop detailed documentation, including process flows, data models, data dictionaries, use cases, technical requirements, and user stories, ensuring clarity for development teams and stakeholders.
- Guidelines and Best Practices: Develop data quality guidelines and best practices for end users to reduce the likelihood of future issues.
- Data Governance: Champion data governance efforts, ensuring data integrity, consistency, and compliance with relevant standards and regulations.
Qualifications:
- Education: Bachelor's degree required, preferably in a Technology and/or Finance related concentration.
- Experience: Minimum of 3-5 years of experience in data management, business analysis, transformation consulting, or a related role, preferably within the asset management industry.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate business requirements into technical specifications.
- Asset Management Expertise: In-depth knowledge of key business functions within the asset management industry (e.g., Fund Accounting, Middle Office, Client Services, etc.). Familiarity with the alternative asset management space and functions specific to private investments is a plus.
- Communication: Excellent verbal and written communication skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
- Collaboration: Proven ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced setting.
- Technical Skills: Familiarity with data modeling tools, SQL, data management software, data warehousing concepts, and business intelligence tools.
Knowledge, Skills & Abilities:
- Requires minimal supervision; models effective leadership skills; communicates effectively with other project team members.
- Demonstrate decisiveness in resolving business problems, making decisions and identifying priorities.
- Critical thinking and problem-solving skills. Good knowledge of Project and Program Management practices, processes and tools.
- Works creatively and analytically in a problem-solving environment demonstrating teamwork & innovation.
- Listens intently to what other people are saying, taking time to understand the points being made, asking questions when appropriate, and allowing for professional courtesy in conversations.
- Builds mutual trust and encourages respect and cooperation among team members.
- Proven ability to demonstrate a drive for results and accountability of business needs.
- Proven ability to work in an ambiguous environment and collaborate across multiple areas in order to achieve a common business objective.
- Interpersonal skills to influence and spur change, facilitate and enhance performance within a cross - functional environment.
- Detail oriented with excellent follow-through skills.
- Ability to prioritize, plan, and organize work and deliverables.
- Influential, focused, and versatile team player that is comfortable under pressure.
- Takes steps to preserve the high confidentiality of strategic business data.
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