Business Data Analyst​/Architect

Pay Rate: $50/hr. to $60/hr.

Key Responsibilities
" Data Analysis & Insight Generation:
Perform in-depth analysis of enterprise
data to uncover trends, patterns, and correlations. Identify actionable insights
and data-driven opportunities that inform decision-making and strategic
initiatives.
" Data Use Case Identification:
Collaborate with stakeholders to identify and
define data use cases across functional domains, ensuring alignment with
business priorities and future-state data strategy.
" Business-to-Technical Translation:
Engage with stakeholders to translate
business requirements into clear technical specifications, analytical models, and
actionable deliverables.
" Impact Assessment:
Analyze current-state data and infrastructure versus
future-state goals; identify data and process gaps; define mitigation strategies.
" Data Profiling & Quality Analysis:
Perform deep dives into structured and
semi-structured datasets to assess completeness, consistency, and accuracy;
work with SMEs to understand data availability and source gaps.
" Data Integration & Transformation:
Design and validate data pipelines and
transformations; document lineage and dependencies.
" Feature Engineering & Analytics:
Use Python and SQL to extract, clean, and
engineer data features for analytics and modeling.
" AI-Assisted Analytics:
Apply basic AI/ML and LLM-based tools (e.g., prompt
- based data exploration, AI-assisted feature engineering, or generative AI
copilots) to accelerate data analysis, documentation, and insight generation.
" Reporting & Visualization:
Build and maintain insightful dashboards and
reports to communicate findings effectively.
" Governance & Documentation:
Maintain business glossary, data dictionary,
and metadata aligned with governance standards.
" Testing & Validation:
Participate in validation of new or transformed data sets to
ensure integrity and alignment with business requirements.
" Knowledge Management:
Maintain the data dictionary and business glossary
for assigned domains, capturing and documenting definitions aligned with
business leadership and global teams.
"

Cross-functional Collaboration:

Partner closely with data engineers, product
managers, and business SMEs to align solutions with business objectives.
Required

Skills & Qualifications
" 10+ years of experience in data analytics, business analysis, or data
management.
" Advanced SQL expertise with ability to query and Eligible to workimize large, complex
datasets.
" Proficiency in Python for data analysis, transformation, and feature engineering
(Pandas, Num Py).
"

Experience with building dashboard using AI or similar visualization
frameworks for data storytelling and dashboards.
" Deep understanding of data architecture, governance, MDM, and data
lineage.
" Proven track record in identifying and scoping new data use cases and
converting insights into business recommendations.
" Strong analytical thinking, stakeholder management, and communication skills.
" Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools
(e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt
engineering for data tasks) no deep ML modeling…