Data Analyst

Job Title: Data Analyst

Job Location: Austin, TX

Job Type: Contract

Pay Range: $45.00hr - $50.00hr

Job Overview:

We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. This role is pivotal in bridging business strategy with technical execution converting complex business needs into scalable, data-driven solutions. The successful candidate will lead detailed data analysis efforts, uncover business-critical insights, and identify data use cases that drive measurable impact across the organization. This project supports the company s data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units.

Key Responsibilities:

• 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.
• Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy.
• Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables.
• Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies.
• 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.
• Design and validate data pipelines and transformations; document lineage and dependencies.
• Use Python and SQL to extract, clean, and engineer data features for analytics and modeling.
• 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.
• Build and maintain insightful dashboards and reports to communicate findings effectively.
• Maintain business glossary, data dictionary, and metadata aligned with governance standards.
• Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements.
• Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams.
• Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives.

Required Skills & Qualifications:

• 8 12 years of experience in data analytics, business analysis, or data management.
• Advanced SQL expertise with ability to query and optimize large, complex datasets.
• Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy).
• 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 expertise required.
• Experience with Snowflake, Databricks, or Hadoop/Spark environments.
• Exposure to data catalog or governance tools (Collibra, Alation).
• Familiarity with D&B data hierarchy, enrichment, or similar reference data systems.

Environment & Tooling Stack:

• SQL (PostgreSQL, Snowflake, Redshift).
• Python (Pandas, NumPy, feature engineering).
• AI for visualization.
• Git / Bitbucket for version control.
• JIRA / Confluence for project tracking and documentation.

== ==

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities