Hire a Top Power BI Developer in LatAm. Same Quality. 51% Less.

• Design, develop, and maintain interactive Power BI reports and dashboards.
• Integrate data from multiple sources such as SQL Server, Excel, and cloud-based services.
• Create data models and implement complex DAX (Data Analysis Expressions) formulas for reporting.
• Perform data cleansing, transformation, and loading (ETL) using Power Query.
• Optimize Power BI performance, ensuring reports and dashboards load efficiently.
• Implement security roles and manage data access in Power BI reports.
• Collaborate with stakeholders to gather business requirements and translate them into reporting solutions.
• Provide training and support to end-users for effective use of Power BI tools.
• Create and manage custom Power BI visuals and other custom reporting features.
• Monitor data refresh schedules and ensure timely updates to reports and dashboards.
• Stay updated with the latest Power BI features, updates, and best practices.
• Troubleshoot and resolve issues related to Power BI reports, data connections, and performance.

• Strong proficiency in Power BI, including Power Query, DAX, and Power BI Service.
• Experience with data modeling, data transformation, and ETL processes.
• Knowledge of relational databases like SQL Server, MySQL, and cloud-based data sources.
• Ability to design and implement interactive reports and dashboards in Power BI.
• Familiarity with Power BI data security and user access management.
• Experience with data visualization best practices and creating custom Power BI visuals.
• Proficiency in SQL and experience writing complex queries for data extraction.
• Understanding of business intelligence concepts and data analysis techniques.
• Experience with Power BI performance optimization, including data refresh and query optimization.
• Ability to work collaboratively with business analysts and stakeholders to define reporting requirements.

What Kind of Power BI Developer Does Your Company Need?

A Power BI Developer building financial dashboards has different responsibilities from someone maintaining a shared semantic model for several departments or developing reporting solutions within Microsoft Fabric.

The right candidate depends on how your company stores data, who relies on the reports, and how much technical responsibility the developer will have for the reporting environment.

Some experienced Power BI Developers can work across several of these areas, particularly when they've supported reporting environments through different stages of growth.

However, experience solving problems similar to those your organization faces is more useful than requiring expertise in every Microsoft analytics feature.

For example, a SaaS company that needs reliable monthly recurring revenue reports may prioritize financial modeling, DAX, SQL, and experience reconciling business metrics.

A larger business operating hundreds of Power BI reports may require deeper knowledge of shared semantic models, workspace management, access controls, performance optimization, and deployment processes.

Before hiring, identify which reports and datasets your developer will own, which business systems supply the data, and who will approve the definitions of important metrics.

How Should a Remote Power BI Developer Fit Into Your Data Team?

A remote Power BI Developer can take ownership of semantic models, reports, calculations, refresh reliability, and technical improvements while collaborating with finance, operations, IT, and data specialists.

The arrangement works best when business teams define the decisions and metrics they care about, while the developer owns the technical work needed to produce consistent, reliable reporting.

Define Reporting Ownership and Business Requirements

Power BI projects often begin with a request for a dashboard.

For example, a CEO may ask for a report showing monthly revenue, new customers, churn, and sales pipeline.

Before building the report, the developer needs to understand how those metrics are defined and where the information comes from.

Monthly revenue might refer to invoices issued, recognized revenue, cash collected, or another measure approved by Finance.

Similarly, churn could refer to lost customers, lost subscription revenue, or a particular cohort.

Establish who defines each metric, who validates the source data, and who approves the final reporting logic.

A practical ownership structure might involve:

• Finance defining financial metrics and reconciliation requirements
• Sales or RevOps defining pipeline stages and opportunity metrics
• Data Engineers maintaining upstream ingestion pipelines
• Analytics Engineers preparing reusable warehouse transformations
• The Power BI Developer creating semantic models, DAX calculations, and reports
• Business stakeholders reviewing the accuracy and usefulness of the results

For smaller organizations, one experienced Power BI Developer may cover several of these responsibilities.

For more complex environments, separating them can help maintain the reporting system as the business grows.

Establish Semantic Model and Metric Governance

One of the most valuable responsibilities of a Power BI Developer is making important metrics consistent across reports.

For example, a company may have one revenue dashboard used by Finance and another used by Sales.

If each report calculates revenue differently, leadership may receive conflicting information during the same meeting.

Your developer should investigate the definitions and technical calculations behind those differences.

That may involve reviewing:

• Source tables and data relationships
• Fact and dimension tables
• The grain of each dataset
• DAX measures and filter context
• Date tables and fiscal calendars
• Duplicate or missing records
• Currency conversions
• Refunds, credits, and other adjustments
• Differences between reporting periods
• Existing transformations upstream of Power BI

For example, a report joining order headers directly to individual order items may unintentionally duplicate order-level totals.

The developer should recognize how the join affects the model and recommend an appropriate structure.

The goal is to create measures and semantic models that use approved business definitions consistently.

For recurring reporting, establish a documented metric dictionary and a process for approving changes.

That way, when the company revises a definition, the developer can update the relevant logic and identify which reports are affected.

Coordinate Data Sources and Refresh Reliability

Power BI reports often depend on several systems.

A revenue dashboard may use information from a billing platform, CRM, accounting system, and database.

Your developer should understand how those sources connect to the reporting environment and how frequently the data needs to update.

For example, an operations team may expect its dashboard to reflect the previous day's activity every morning.

If the scheduled refresh fails, employees may begin making decisions using outdated information.

Your Power BI Developer should understand how to investigate the problem and communicate the status of the report.

Before assigning ownership, establish expectations for:

• Data connections: Which systems provide information and how access is managed.
• Refresh schedules: How frequently each report or semantic model should update.
• Data freshness: How users can identify the reporting period represented.
• Failures: How refresh errors are detected, investigated, and escalated.
• Credentials: Who manages gateways, access tokens, and connection permissions.
• Validation: Which checks confirm that updated data is complete and accurate.
• Dependencies: Which upstream pipelines must finish before reports are refreshed.
• Documentation: How data sources, refresh rules, and recovery procedures are recorded.

For example, a scheduled refresh might fail because a source schema changed or the data gateway is unavailable.

The developer should investigate the cause and determine whether the issue belongs to the Power BI model, the connection, or an upstream system.

Reliable reporting requires clear ownership of data freshness as well as report design.

For larger data platforms, the Power BI Developer may coordinate with Data Engineers to resolve upstream issues.

Establish Performance and Storage Requirements

An attractive dashboard can become difficult to use when its underlying model grows too large or its calculations take too long.

Your developer should understand how to diagnose and improve performance.

For example, an executive report may take several seconds to update every visual when a user changes a filter.

The cause could involve inefficient DAX, unnecessary columns, relationship complexity, slow source queries, or the storage architecture.

Your Power BI Developer should know how to identify the bottleneck using appropriate tools.

Depending on your environment, that may involve:

• Power BI Performance Analyzer
• DAX Studio
• SQL query analysis
• Semantic model optimization
• Power Query and query folding
• Model size reduction
• Incremental refresh
• Aggregations
• Import, DirectQuery, or Direct Lake behavior
• Source-system performance

A strong developer should measure the problem and explain the trade-offs before changing the model.

For example, Import mode may provide strong interactive performance for many reporting scenarios, provided the data freshness and capacity requirements are appropriate.

DirectQuery may be relevant when data needs to be queried from the underlying system, but performance depends heavily on the source.

Direct Lake may be appropriate in supported Microsoft Fabric architectures.

The correct choice depends on the available infrastructure, licensing, data volume, and reporting requirements.

Define Report Security and Access Responsibilities

Power BI reports can contain financial information, customer records, employee data, and other sensitive business information.

Your developer should understand how to configure and validate appropriate access controls.

For example, a sales organization may need regional managers to view results only for their assigned territories.

Leadership may require access to consolidated reporting across the entire business.

Row-level security can help restrict which records certain report consumers can see.

However, security depends on the complete access model, including workspace roles, semantic model permissions, sharing arrangements, and the underlying data systems.

Before granting responsibility, establish expectations for:

• Workspace and report access
• Microsoft Entra ID groups
• Row-level security
• Object-level security where appropriate
• Data classification and sensitivity labels
• Export and sharing policies
• Access to source systems
• Approval of permission changes
• Testing access with representative user accounts
• Periodic reviews of report permissions

For example, an employee who is intended to view only regional data shouldn't receive elevated workspace access that bypasses the intended row-level restrictions.

The developer should coordinate with IT administrators and security professionals to confirm the configuration.

Build a Maintainable Reporting Environment

As organizations create more dashboards, maintaining them can become a substantial technical responsibility.

Several reports may contain repeated calculations, different naming conventions, and duplicated logic.

Over time, changes become more difficult to manage.

Your Power BI Developer can help establish development standards that support consistency and controlled releases.

For example, a company may use shared semantic models so that finance and operational dashboards reuse approved measures.

The developer may also maintain documentation and use supported version-control workflows.

For more advanced environments, responsibilities can include:

• Organizing semantic models and measures
• Documenting calculation logic
• Managing report dependencies
• Reviewing changes before publication
• Using development, test, and production workspaces
• Supporting deployment pipelines
• Working with Power BI project files and Git where appropriate
• Managing approved changes to shared models
• Retiring outdated or redundant reports
• Maintaining user-facing documentation

The objective is to make reporting easier to maintain as the number of users, metrics, and dashboards increases.

For teams using Microsoft Fabric, the developer may also collaborate with platform engineers on supported source-control and deployment capabilities.

Coordinate Reporting With Finance, Sales, and Operations

A Power BI Developer needs enough business context to understand how reports will be used.

For example, a CFO might need to investigate changes in gross margin.

A Sales Manager may want to understand why certain opportunities aren't progressing through the pipeline.

An Operations Director may need to monitor inventory availability and order fulfillment.

Each stakeholder has different reporting priorities.

Your developer should be able to ask relevant questions, clarify definitions, and design reports that support the decisions employees make.

Give your Power BI Developer regular access to the people who use the dashboards and a clear process for collecting feedback.

This makes it easier to identify missing information, improve visual design, and prioritize reporting changes based on business value.

Related Roles to Consider

Depending on your company's analytics environment, another specialist may be a better fit or a useful addition to the team.

• BI Developer: Best for companies needing broader business intelligence development across several reporting platforms, data models, and technical integrations.
• BI Analyst: A strong fit when the main priority is creating recurring reports, interpreting metrics, and supporting business stakeholders through dashboards and analysis.
• Data Analyst: Appropriate when your organization needs deeper analysis, investigations, business recommendations, and support with questions that extend beyond recurring reports.
• Analytics Engineer: Focuses on preparing tested, documented, reusable datasets and transformations within the analytics warehouse.
• Data Engineer: More appropriate when the biggest challenges involve data ingestion, infrastructure, pipeline reliability, warehouse architecture, and moving information between systems.
• SQL Developer: Specializes in database queries, stored procedures, relational data structures, and SQL performance.
• Power Apps Developer: Supports businesses building internal applications for entering data, managing workflows, and interacting with Microsoft systems.

A Power BI Developer is generally the strongest choice when your company already uses Microsoft's reporting ecosystem and needs dedicated ownership of its semantic models, calculations, dashboards, and production reporting processes.

If your team mainly needs someone to investigate business questions and recommend actions, a Data Analyst may be more appropriate.

If the data isn't consistently reaching the reporting environment, a Data Engineer or Analytics Engineer may need to address those problems first.

For more guidance on prioritizing analytics roles, see South's Your First Data Hire guide.

How to Evaluate Power BI Developer Candidates

A candidate may list Power BI Desktop, DAX, Power Query, SQL Server, and Microsoft Fabric on their résumé.

Those technologies provide useful context, but the strongest evidence comes from how they design data models, reconcile inconsistent metrics, troubleshoot performance problems, and build reports business users can trust.

A practical assessment can help reveal those abilities.

Consider giving shortlisted candidates the following fictional scenario:

Your company sells software subscriptions to U.S. businesses.

Finance reports $1.2 million in revenue for the previous month, while the sales dashboard shows $1.32 million. The reports use some of the same source data, but their calculations and filters differ.

The company also wants a new Power BI dashboard that combines billing records, customers, subscription plans, and refunds.

Regional managers should see only their territories, and the report must be available for a leadership meeting every Monday morning.

How would you investigate the differences and build a reliable reporting solution?

Provide a simplified data dictionary, fictional SQL tables or CSV files, sample report screenshots, and a description of the company's current Power BI environment.

Ask candidates to explain the questions they'd clarify, the model they'd build, how they'd validate the calculations, and how they'd manage access and refreshes.

Use the following evaluation scorecard:

Pay particular attention to how candidates investigate the difference between the two reported revenue figures.

A strong developer should ask whether the reports measure the same business concept.

For example, one dashboard may use invoices while another includes bookings or subscription changes.

Even if the metric definitions agree, the difference could result from incorrect relationships, duplicated rows, mismatched dates, refunds, or differences in filter context.

The candidate should describe how they'd trace the numbers back to their source and validate the results with the relevant business owner.

For more advanced positions, ask candidates to demonstrate how they'd structure a reusable semantic model and implement DAX measures.

For reporting-focused positions, place greater emphasis on clear visualizations, accurate calculations, and practical stakeholder communication.

For Fabric-focused roles, add questions about the organization's actual storage, semantic model, and deployment architecture.

For senior candidates, request a walkthrough of a production Power BI solution they've personally built or maintained.

Ask them to explain the data sources, model structure, business metrics, security design, deployment process, and technical problems they encountered.

The objective is to determine whether the candidate can maintain reliable reporting and make sound technical decisions as your data environment grows.

What Should a Power BI Developer Accomplish in the First 90 Days?

The first three months should demonstrate whether your new Power BI Developer understands your data sources, can take ownership of reporting deliverables, and contributes to more dependable business intelligence.

First 30 Days: Understand the Data and Reporting Environment

Your new hire should become familiar with your current Power BI reports, semantic models, source systems, business metrics, and reporting processes.

They should also review refresh schedules, security arrangements, existing documentation, and recurring data discrepancies.

A useful first milestone is completing a defined improvement.

That might involve fixing a DAX calculation, improving a report's usability, resolving a refresh issue, or documenting the logic behind an important metric.

The priority is understanding the reporting environment and demonstrating accuracy in the work delivered.

Days 31–60: Take Ownership of a Reporting Project

By the second month, the developer should begin managing more substantial assignments.

That may involve building a shared semantic model, developing a dashboard, improving existing calculations, or optimizing a slow report.

They should work with business stakeholders to clarify requirements and validate the results before publishing.

For example, a developer might take ownership of a monthly revenue report, confirm the metric definitions with Finance, and build an updated model that several departments can use.

The objective is consistent delivery supported by testing, documentation, and stakeholder feedback.

Days 61–90: Demonstrate Measurable Reporting Improvements

By the third month, the Power BI Developer should be contributing regularly to the company's reporting roadmap and maintaining assigned production assets.

Useful performance indicators include:

• Accuracy of reports against approved data sources
• Resolution of important metric discrepancies
• Completion of agreed reporting requirements
• Reliability and timeliness of scheduled refreshes
• Reduction in recurring report errors
• Improvement in report response times
• Adoption and usage of approved dashboards
• Progress on shared semantic models and reusable measures
• Completion of agreed access and security requirements
• Reduction in manual reporting work for targeted processes
• Quality of technical documentation
• Responsiveness to reporting incidents and stakeholder feedback

These indicators should be evaluated against the reporting environment's previous condition.

For example, a developer maintaining a small finance reporting environment may focus on reducing manual spreadsheet work and improving metric accuracy.

A senior developer supporting hundreds of reports may spend more time on model architecture, performance, access governance, and deployment standards.

A successful first 90 days should establish reliable reporting ownership, clearer metric definitions, and measurable progress toward a maintainable Power BI environment.

How South Has Helped Companies Hire Data and Reporting Talent

Companies building stronger reporting processes often need professionals who understand both business metrics and the tools used to analyze them.

South has helped U.S. businesses recruit finance and operations professionals with relevant business intelligence experience.

The following published placements involved reporting-focused and finance positions rather than dedicated Power BI Developers. They demonstrate adjacent recruiting experience, while the Power BI candidate profiles on this page offer more direct examples of platform-specific technical skills.

A Software Company Hired a Finance and Data Manager for $3,500 per Month

A U.S. software company developing tools for photographers needed a professional who could manage financial planning and improve access to important business data.

The position combined finance, business intelligence, reporting, and operational responsibilities.

South helped the company hire Fernando, a Finance and Data Manager from Ecuador, for $3,500 per month.

The company's requirements included:

• Experience with financial forecasting
• SQL proficiency
• Knowledge of business intelligence tools
• Reporting and dashboard development
• Familiarity with financial and accounting systems
• Ability to interpret business data
• Experience working remotely with U.S. companies

Fernando brought more than ten years of professional experience, including leadership and financial management responsibilities.

His technical background included Power BI, QuickBooks, and broader business intelligence capabilities.

The position's documented dashboard responsibilities specifically involved Tableau, Rows, Google Sheets, and data from Snowflake.

Why this matters: The company needed someone capable of connecting business data with financial decisions and maintaining useful reporting processes.

Fernando's hiring demonstrates South's experience recruiting professionals with a combination of analytical, financial, and business intelligence skills.

The documented role was Finance and Data Manager rather than Power BI Developer, and the published case doesn't attribute a dedicated Power BI implementation to the hire.

A Finance Firm Hired a Reporting-Savvy Bookkeeper in Two Days

A growing U.S. finance firm needed to replace a Bookkeeper responsible for accounting operations, reconciliations, and financial reporting.

The position required someone comfortable using modern accounting and analytical tools while managing accurate financial information.

South helped the firm hire Jayda, a Bookkeeper from Jamaica, for $1,800 per month.

The hiring requirements included:

• Accounts payable and accounts receivable
• Reconciliation and month-end close
• Payroll and financial records
• QuickBooks, Xero, and NetSuite
• Excel and Power BI familiarity
• Accurate financial reporting

The documented results included:

• Role: Full-time Bookkeeper
• Location: Jamaica
• Time to hire: Two days
• Monthly salary: $1,800
• Reported savings: 65% compared with the case study's U.S. benchmark

The case study describes Jayda supporting accurate financial reporting and working within a technology-driven finance environment.

Why this matters: The firm needed someone who could work with financial data and reporting tools as part of its daily operations.

The placement illustrates South's ability to identify finance professionals with analytical capabilities.

It was a bookkeeping hire rather than a Power BI engineering placement, so employers seeking advanced DAX, semantic modeling, Fabric, or reporting architecture should assess those skills directly in developer candidates.

Hire a Power BI Developer in Latin America With South

When different departments rely on different versions of the same numbers, reporting can become difficult to trust.

A dedicated Power BI Developer can help your company maintain consistent metrics, improve dashboard performance, support secure access, and make recurring reports easier to manage.

South helps U.S. companies hire full-time, pre-vetted Power BI Developers from Latin America, matched to their reporting environment, DAX and SQL requirements, semantic modeling experience, and expected level of technical ownership.

Whether you need someone developing financial dashboards, maintaining shared semantic models, improving Power BI performance, or supporting Microsoft Fabric reporting, we can help you identify professionals with relevant experience.

You'll benefit from overlapping U.S. working hours, English-screened candidates, one consolidated monthly invoice, no minimum commitments, and a free replacement if the hire doesn't work out.

Schedule a call with South to find a Power BI Developer who fits your reporting requirements and hiring budget.

Frequently Asked Questions (FAQs)

Should I Hire a Power BI Developer or a Data Analyst?

A Power BI Developer is generally the stronger choice when your company needs technical ownership of semantic models, DAX calculations, reports, performance, security, and the production reporting environment.

A Data Analyst is more appropriate when the main responsibilities involve investigating business questions, analyzing trends, and providing recommendations.

The roles can overlap, especially at smaller companies.

Choose based on whether your priority is maintaining a reporting system or answering business questions using data.

Should I Hire a Power BI Developer or a BI Developer?

A Power BI Developer specializes in Microsoft's business intelligence environment, including Power BI Desktop, Power BI Service, DAX, Power Query, and relevant Fabric capabilities.

A BI Developer may have broader responsibilities across multiple analytics platforms, databases, and reporting technologies.

If your organization primarily uses Power BI, a platform specialist may be the more focused hire.

Does a Power BI Developer Need Advanced DAX Skills?

Strong DAX knowledge is particularly valuable when the position involves complex metrics, time intelligence, shared semantic models, and performance optimization.

For simpler dashboard maintenance, intermediate DAX experience may be sufficient.

Candidates should understand filter context, relationships, measures, and how calculations respond to report interactions.

For senior positions, prioritize experience debugging and optimizing production DAX.

Does a Power BI Developer Need SQL?

SQL is highly valuable for validating source data, investigating reporting discrepancies, and working with relational databases or warehouses.

The depth required depends on the company's data environment.

For a developer working with established semantic models, SQL may be used less frequently.

For someone building reports directly from SQL Server or other relational sources, strong SQL skills may be essential.

Should My Power BI Developer Know Microsoft Fabric?

Fabric experience is valuable when your company uses or plans to use Microsoft Fabric, including supported lakehouse, warehouse, OneLake, or Direct Lake reporting capabilities.

However, many Power BI roles can be performed without deep Fabric expertise.

Make Fabric a core requirement when the developer will actually work with that architecture.

Can a Power BI Developer Build Dashboards From Several Data Sources?

Yes. Power BI Developers can connect to supported data sources and prepare information for reporting.

The work may involve Power Query, SQL, data relationships, and shared semantic models.

However, extensive ingestion pipelines, data warehouse architecture, or complex source-system integrations may require collaboration with Data Engineers.

Define the scope according to the data infrastructure your company already has.

Can a Power BI Developer Fix Conflicting KPI Reports?

Yes. A developer can investigate whether inconsistencies result from business definitions, source data, relationships, DAX, filters, or transformations.

The relevant business owner should approve the intended metric definition.

For example, Finance may need to decide whether a revenue report represents recognized revenue, invoiced amounts, or cash collections.

The developer can then implement and validate the approved calculation.

Can a Power BI Developer Improve Slow Dashboards?

Yes. Experienced developers can investigate DAX queries, model size, relationship structure, visual performance, data source behavior, and storage modes.

Tools such as Performance Analyzer and DAX Studio can help identify bottlenecks.

The correct improvement depends on the actual cause and may involve collaboration with Data Engineers or database specialists.

Should a Power BI Developer Have Row-Level Security Experience?

Row-level security experience is important when different users should see different subsets of reporting data.

Candidates should understand how RLS is configured, tested, and managed alongside workspace access.

For example, a regional manager may require access only to their territory's results.

A developer should understand that RLS doesn't restrict users with elevated workspace roles in the same way it restricts Viewers.

For sensitive reporting environments, establish appropriate IT and security reviews.

Does a Power BI Developer Need a Pro or Premium Per User License?

Licensing requirements depend on how the company creates, publishes, shares, and consumes reports, as well as its existing Power BI and Microsoft Fabric entitlements.

Power BI Pro, Premium Per User, and eligible capacity-based arrangements support different usage scenarios.

Before hiring, confirm the company's licensing environment, expected report audience, and planned deployment architecture with its Microsoft administrator.

Can a Power BI Developer Migrate Dashboards From Excel or Tableau?

Yes. Experienced Power BI Developers can help replace selected spreadsheet-based reporting processes or migrate reporting from other BI platforms.

The work may involve rebuilding calculations, data models, visual interactions, access controls, and distribution processes.

A successful migration should include validation against the previous reports and approved business metrics.

For extensive platform migrations, experience with the source platform can be particularly valuable.

Should I Hire a Junior, Mid-Level, or Senior Power BI Developer?

Junior developers are generally suited to maintaining existing reports, creating simpler visualizations, updating Power Query steps, and making defined DAX changes with supervision.

Mid-level developers can often own complete reporting projects, including data modeling, DAX, SQL, security, and stakeholder collaboration.

Senior Power BI Developers may be more appropriate for complex semantic architecture, advanced performance optimization, governance, Fabric integrations, and technical leadership.

Choose seniority according to the complexity of your environment and the independence required.

Can a Power BI Developer Work With Finance and RevOps Teams?

Yes. Power BI Developers frequently collaborate with Finance, Sales, RevOps, Marketing, and Operations teams.

They can translate business requirements into reporting logic, develop dashboards, and investigate data discrepancies.

Overlapping U.S. working hours can help them clarify metrics, review reports, and troubleshoot important issues with business stakeholders.

How Should I Evaluate a Power BI Developer's Portfolio?

Ask candidates to demonstrate reports or semantic models they've personally built.

Have them explain the data sources, model relationships, DAX measures, security requirements, and any performance or refresh issues encountered.

A strong portfolio should demonstrate technical reasoning and the ability to validate business metrics.

If confidential client data prevents candidates from sharing production reports, a representative demonstration using fictional data can provide useful evidence.

What Information Should I Prepare Before Hiring Through South?

Start with your data sources, current Power BI environment, main reporting challenges, and the dashboards or semantic models your developer will manage.

You should also define the required SQL and DAX depth, expected report audience, security requirements, refresh schedules, and any Microsoft Fabric dependencies.

Include the preferred seniority, relevant industry experience, and the level of independent technical ownership required.

South can use those requirements to identify candidates whose experience matches your reporting priorities.