We are seeking a Reporting Support Analyst to support enterprise reporting solutions developed through Power BI. The ideal candidate will have hands-on experience with Power BI, SQL, and Databricks to investigate reporting issues, validate data accuracy, troubleshoot refresh and access concerns, identify data-quality issues, and coordinate with technical teams to ensure timely resolution. Strong analytical, problem-solving, documentation, and stakeholder communication skills are essential
· Serve as the first line of support for reporting incidents, data questions, access issues, and report usage inquiries. · Monitor reporting operations and identify failures, delays, incomplete outputs, or service disruptions. · Validate scheduled report execution, output availability, publication, and restoration following an incident. · Escalate technical defects with a clear problem statement, business impact, evidence, and steps already completed. · Confirm resolution through business validation, production verification, and documented closure criteria.
· Navigate Databricks workspaces and use Databricks SQL to investigate data anomalies and reporting discrepancies. · Trace data from source and ingestion through curated data products and reporting consumption layers. · Validate transformations, business rules, filters, joins, aggregations, and source-to-target results. · Review notebook, job, or pipeline results needed to determine whether an issue is caused by latency, failed processing, data quality, transformation logic, or downstream reporting. · Use data lineage and catalog information, including Unity Catalog where applicable, to identify relevant tables, views, owners, and downstream dependencies. · Partner with Data Engineering, CDP, and Reporting Development to support root-cause analysis, testing, release validation, and post-deployment monitoring.
· Perform SQL-based analysis, reconciliation, and expected-versus-actual validation. · Determine whether an issue is related to source data, Databricks processing, CDP, report logic, security, configuration, distribution, or user interpretation. · Interpret report calculations, parameters, filters, and business rules. · Document findings, supporting evidence, decisions, and recommended actions in a form usable by both business and technical teams.
· Triage requests, assess operational and compliance impact, assign appropriate priority, and coordinate ownership. · Organize response activities across analysts, developers, data engineers, platform teams, and business subject-matter experts. · Provide concise, timely status updates that explain impact, current findings, ownership, next actions, and known workarounds. · Participate in root-cause reviews and convert lessons learned into monitoring, documentation, or process improvements. · Maintain complete and accurate ticket records through resolution and closure.
· Help users identify the appropriate report or data product for an operational need. · Explain report behavior, calculations, data definitions, refresh timing, known limitations, and expected results in business-friendly language. · Support training, adoption, and change communications for reporting solutions. · Manage expectations professionally during incidents, competing priorities, and unresolved investigations.
· Support Power BI reports, paginated reports, dashboards, refreshes, parameters, subscriptions, rendering, and basic access troubleshooting. · Validate scheduled-job execution and coordinate recovery or rerun activities through established operating procedures. · Support release readiness, production deployment validation, and stabilization monitoring.
· Follow established SOX 404 control procedures, evidence requirements, documentation standards, and escalation protocols. · Support audit inquiries and maintain evidence demonstrating completed monitoring, validation, recovery, and control activities. · Create and maintain runbooks, knowledge articles, troubleshooting guides, report metadata, support procedures, and known-issue documentation. · Promote cross-training, backup coverage, repeatable processes, and reduced dependence on individual subject-matter experts. · Contribute to reporting standards, service metrics, trend analysis, and continuous improvement.
· Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, Business Administration, or a related field, or an equivalent combination of education and relevant experience. · Experience supporting business intelligence, reporting, data, analytics, or production operations in an enterprise environment. · Hands-on experience writing and interpreting SQL for investigation, validation, and reconciliation. · Working experience with Databricks or a comparable cloud data and analytics platform. · Experience with Power BI or a comparable enterprise business intelligence platform. · Demonstrated ability to communicate technical findings clearly to business and leadership audiences.
· Hands-on experience supporting Power BI reports, dashboards, paginated reports, semantic models, refresh schedules, subscriptions, access, and production issue resolution. · Experience validating report calculations, filters, parameters, data relationships, and source-to-report results to identify reporting defects and data discrepancies. · Experience with Microsoft Fabric, data warehouses, enterprise semantic models, or related analytics platforms. · Databricks SQL, Delta Lake, data lineage, or lakehouse concepts. · Autosys or comparable enterprise scheduling and job-monitoring experience. · Remedy Helix, ServiceNow, Jira, or comparable ticketing and work-management experience. · SharePoint and enterprise knowledge-management experience. · Experience supporting regulatory, financial, or SOX-controlled reporting. · Utility, customer operations, billing, payments, field operations, or other relevant business-process knowledge.
· Ownership and accountability: Drives issues through validation and closure rather than stopping at handoff. · Analytical problem solving: Uses evidence to isolate the problem and distinguish symptoms from root causes. · Customer focus: Supports users with patience, clarity, and appropriate urgency. · Communication: Tailors technical depth for business users, developers, data engineers, and leaders. · Collaboration: Works effectively across Reporting, CDP, Data Engineering, compliance, and business teams. · Adaptability: Learns evolving data platforms, reports, business rules, and support processes. · Risk awareness: Recognizes operational, data-quality, security, and compliance implications and escalates appropriately. · Knowledge sharing: Documents repeatable solutions and actively builds team capability and backup coverage.
· Timely, accurate triage and resolution of reporting support requests. · High-quality incident records, investigation evidence, and stakeholder communications. · Accurate identification of whether issues originate in source systems, CDP, reporting logic, security, configuration, distribution, or user interpretation. · Reliable production validation following changes, reruns, fixes, and deployments. · Reduction in repeat incidents through root-cause action, monitoring, and knowledge documentation. · Consistent execution of compliance controls and evidence requirements. · Improved organizational resiliency through cross-training, runbooks, and reduced key-person dependency. · Trusted partnership with business customers and technical delivery teams.Key Skills
Python | R | SQL | Data Visualization | Matplotlib | Seaborn | Tableau | Data Analysis | Data Integration | ETL Processes | Data Extraction | Data Transformation | Data Loading | Database Management | Statistical Analysis | Hypothesis Testing | Machine Learning | Predictive Modeling | Data Insights
| Location | Atlanta, Georgia |
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