Lead Business Data Analyst

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 Tableau or similar BI visualization tools for 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.

• 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)

• Tableau for visualization

• Git / Bitbucket for version control

JIRA / Confluence for project tracking and documentation

Roles & Responsibilities

Key Qualifications:

• 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.

• Reporting & Visualization: Build and maintain insightful Tableau 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.

Must Have: Python, Pandas, NumPy, Snowflake, SQL

Salary Range: $90,000-$130,000 a year

Location

Austin, TX

Job Function

TECHNOLOGY

Role

Lead

Job Id

Desired Skills

Business Analysis | Python | SQL

Salary Range

$90,000-$130,000 a year