Data Analytics Analyst 4 4PC- 890

4P Consulting Inc.; Atlanta (GA); On-site; USD 75,000 - 95,000; Part time

Job summary

Southern Company Services in Atlanta, GA is seeking a Reporting Support Analyst to back enterprise reporting solutions built with Power BI. You will investigate data issues, validate accuracy, troubleshoot refresh and access problems, and coordinate with technical teams to drive timely resolutions.

The role emphasizes strong analytical thinking, clear documentation, and effective stakeholder communication as you work across Databricks, SQL, and BI platforms to ensure reliable reporting for

Qualifications

• Bachelor's degree or equivalent in IS/Analytics/CS or related field.
• Hands-on experience supporting BI, reporting, data, analytics, or production operations in an enterprise environment.
• Proficiency in writing and interpreting SQL for investigation, validation, and reconciliation.
• Experience with Databricks or comparable cloud data platform.
• Experience with Power BI or similar BI platform.
• Strong ability to communicate technical findings to business and leadership.

Responsibilities

• Serve as the first line of support for reporting incidents, data questions, access issues, and report inquiries.
• Monitor reporting operations and identify failures, delays, incomplete outputs, or service disruptions.
• Validate scheduled report execution and publication after incidents.
• Escalate defects with clear problem statements, business impact, evidence, and steps taken.
• Confirm resolution through business validation and production verification.
• Triage requests and organize response across analysts, developers, data engineers, and platform teams.
• Provide concise, timely status updates with impact, findings, ownership, and next steps.
• Participate in root-cause analysis and convert lessons learned into improvements.
• Maintain complete ticket records through resolution and closure.

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

Education

Bachelor's degree or equivalent in IS/Analytics/CS

Tools

Databricks

Power BI

Job description

Title: REPORTING SUPPORT ANALYST
Client: Southern Company Services
Location: Atlanta, GA
Contract: 5 Months

Position Summary

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

Key Responsibilities

• 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.

Databricks and Data Platform Support

• 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.

Data Investigation and Report Validation

• 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.

Incident and Service Management

• 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.

Business User and Stakeholder Support

• 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.

Reporting Platform and Distribution Support

• 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.

Compliance, Governance, and Knowledge Management

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Behavioral Competencies

• 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.

Measures of Success

• 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