Data Analyst IV (W2 Only)

We are seeking a highly experienced Data Analyst IV to drive advanced analytics, reporting, and data-driven decision-making across the organization. This role requires deep expertise in data analysis, data modeling, and visualization, along with the ability to translate complex data into actionable business insights. The ideal candidate will partner closely with business stakeholders, data engineers, and leadership teams to influence strategy and optimize performance.

Key Responsibilities

Advanced Data Analysis & Insights

• Lead complex data analysis initiatives to identify trends, patterns, and opportunities across large, multi-source datasets.

• Translate business requirements into analytical models, dashboards, and actionable insights.

• Perform deep-dive analyses to support strategic decision-making and executive reporting.

Data Modeling & Metrics

• Design and maintain analytical data models, KPIs, and metrics aligned with business objectives.

• Define data standards, best practices, and governance guidelines for analytics.

• Ensure data accuracy, consistency, and integrity across reporting layers.

Reporting & Visualization

• Develop and maintain executive-level dashboards and reports using tools such as Tableau, Power BI, Looker, or similar platforms.

• Present insights and recommendations clearly to both technical and non-technical stakeholders.

• Enable self-service analytics for business teams through well-designed dashboards and documentation.

Collaboration & Leadership

• Partner with data engineering teams to optimize data pipelines and analytics-ready datasets.

• Act as a subject matter expert and mentor junior analysts.

• Contribute to analytics roadmaps, best practices, and continuous improvement initiatives.

Data Quality & Governance

• Identify and resolve data quality issues and implement validation checks.

• Support data governance, compliance, and security initiatives.

• Document analytical processes, definitions, and methodologies.

Required Qualifications

• 8+ years of experience in data analysis, business intelligence, or analytics roles.

• Strong expertise in SQL (advanced querying, optimization, complex joins, window functions).

• Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, or equivalent.

• Solid understanding of data warehousing concepts and analytical data modeling.

• Experience working with large datasets in cloud or on-prem environments.

• Strong communication skills with the ability to present insights to executive audiences.

• Proven ability to work independently and lead analytics initiatives end-to-end.

Preferred / Nice-to-Have Skills

• Experience with Python or R for advanced analytics and automation.

• Familiarity with cloud data platforms (AWS, Azure, Google Cloud Platform; e.g., Redshift, Snowflake, BigQuery).

• Exposure to ETL/ELT pipelines and collaboration with data engineering teams.

• Experience in domains such as finance, e-commerce, healthcare, telecom, or SaaS.

• Knowledge of statistical analysis, forecasting, or experimentation (A/B testing).