DevOps - Data Analyst

The Position: Support the Data Operations team by developing reporting solutions, validating data quality, documenting business definitions, and maintaining governed data products. The Data Analyst acts as a bridge between business stakeholders and the DataOps team to ensure trusted, consistent, and actionable reporting.

Responsibilities

Reporting & Analytics

• Build and maintain Power BI reports, dashboards and scorecards for management and executives
• Perform variance analysis between actuals, forecasts, budgets, and targets
• Develop and maintain KPIs, measures, and visualizations aligned to business requirements.

Data Quality & Validation

• Investigate reporting discrepancies and reconcile metrics across systems.
• Support resolution of data quality issues by identifying root causes and documenting findings.
• Validate reporting accuracy following deployments, system changes, or business logic updates.

Business Engagement & Requirements

• Translate business questions into reporting and analytics solutions.
• Partner with business teams to understand operational processes, KPIs, and reporting needs.

Governance & Documentation

• Maintain KPI definitions, business glossaries, and reporting documentation.
• Assist in semantic model and report certification activities.
• Ensure reporting assets align with established governance standards and business definitions.

Data Product & Semantic Model Support

• Support development and maintenance of reusable semantic models and views.
• Support users in discovering and effectively utilizing certified reports and datasets.

Continuous Improvement

• Recommend improvements to reporting, data quality, and analytics processes.
• Contribute to ongoing DataOps initiatives that improve efficiency, governance, and data accessibility.

Experience

• 1-3 years of experience in Data Analytics, Business Intelligence, Revenue Operations, Sales Operations, or a related field.
• Experience developing reports, dashboards, and data visualizations for business stakeholders.
• Experience working with multiple business systems and datasets.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to translate business requirements into reporting and analytics solutions.

Requirements

• Advanced Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, formulas, data analysis).
• Power BI report development and dashboard design.
• Ability to trace data lineage from source systems through transformations to reporting outputs.
• Basic to intermediate DAX development.
• Basic SQL querying and data validation.
• Experience gathering, documenting, and validating business requirements.
• Strong documentation and communication skills.

• Ability to communicate technical findings to non-technical stakeholders.

Preferred Qualifications

Technical Skills

• Microsoft Fabric experience (Lakehouse, Warehouse, Semantic Models, Dataflows Gen2).
• Experience with HubSpot CRM.
• Experience with NetSuite ERP and revenue-related datasets.
• Azure DevOps or similar work management platform.
• PySpark, Python, or notebook development experience.
• Experience working with APIs and data integrations.
• Advanced DAX development and performance optimization.
• Experience supporting or developing semantic models.

Revenue Analytics & Business Performance

• Experience supporting revenue operations, sales operations, or marketing analytics functions.
• Understanding of recurring revenue business models.

Governance & DataOps

• Experience maintaining data dictionaries, metric glossaries, or metadata repositories.
• Experience supporting certification, quality assurance, or report validation processes.
• Understanding of modern analytics architectures, including data warehousing, lakehouse, and medallion architecture concepts.
• Working knowledge of dimensional modeling concepts including fact tables, dimensions, star schemas, and snowflake schemas.