Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Logic Hire Solutions LTD
Job Title:
Business Intelligence Analyst
Location:
Stamford, CT - 3 Days on Site
Department:
Intelligence & Surveillance / Data & Analytics
About The Team
Our Intelligence and Surveillance team sets the industry standard for intelligence-driven analysis. We proactively identify, monitor, and assess various sources of risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations.
Role Overview
As a Business Intelligence Analyst
, you will help design, build, and deploy intelligent workflows that transform multimodal data (structured, semi-structured, and unstructured) into verifiable, transparent, and compliant insights. You will blend strong analytical thinking with practical AI application, grounded in rigor, accountability, and measurable business impact.
Key Responsibilities (Detailed)
- Stakeholder Partnership & Requirements Gathering:
Collaborate directly with business stakeholders (e.g., compliance, operations, legal, trading desks) to identify operational inefficiencies and design AI-driven automations that meaningfully improve day-to-day workflows.
- AI & Workflow Design:
Architect and implement intelligent automations using a combination of traditional business intelligence (BI) methods and modern large language models (LLMs). Translate complex business problems into technical solutions with clear success metrics.
- Data Transformation & Integration:
Extract, clean, and integrate data from multiple internal and external sources (databases, APIs, logs, document repositories). Build reusable data pipelines that feed both analytical dashboards and automated decision systems.
- Compliance & Auditability:
Maintain thorough documentation of data lineage, testing protocols, and audit trails. Ensure all outputs (reports, models, alerts) are verifiable, reproducible, and meet firm-wide accuracy and regulatory compliance standards.
- Communication & Translation:
Serve as a knowledgeable bridge between business teams and engineering/product partners. Help non-technical stakeholders understand AI capabilities, limitations, and value propositions. Present findings and recommendations to senior management.
- Continuous Innovation:
Monitor emerging AI tools, agentic frameworks, and prompt engineering techniques. Proactively identify practical opportunities for adoption to improve speed, quality, and efficiency across the organization.
- Quality Assurance & Data Integrity:
Diagnose and resolve data quality issues, including inconsistencies, missing values, and anomalies. Implement automated validation checks and monitoring.
Required Qualifications
- Education:
Master’s degree in Data Science, Decision Science, Industrial/Organizational (I/O) Psychology, Computer Science, or a related quantitative field.
- Experience:
4+ years in a data analyst, business analyst, technical product, or BI engineering role.
- Core Technical Proficiency:
- SQL:
Expert-level proficiency in writing, debugging, and optimizing complex queries (joins, window functions, CTEs, query performance tuning) across relational databases (e.g., Postgre
SQL, MySQL, Snowflake).
- Python:
Experience using Python for data profiling, cleaning, and analysis, including libraries such as Pandas, Num Py, and Jupyter notebooks.
- AI/LLM Platforms:
Hands‑on experience applying foundation models (e.g., GPT‑4, Claude, Llama) to real business problems, including prompt engineering, chain-of-thought reasoning, retrieval‑augmented generation (RAG), and working with LLM APIs (OpenAI, Anthropic, or similar).
- Analytical & Problem Solving:
Strong analytical foundations (statistics, hypothesis testing, data visualization principles). Proven ability to identify, diagnose, and resolve data quality and integrity issues.
- Soft Skills:
Ability to explain AI-driven concepts to both technical and non-technical audiences. Demonstrated bias toward action, intellectual curiosity, and disciplined execution in fast‑paced, evolving environments.
- Ethics & Integrity:
Commitment to the highest ethical standards, particularly regarding data privacy, compliance, and responsible AI use.
Preferred Tech Stack…
Source: Logic Hire Solutions LTD careers