Power BI Analyst Jobs 2026

You keep seeing “Power BI Analyst” in job ads, and it sounds promising, but also slightly confusing. Is it a data analyst job? A BI developer job? Do you need Python, SQL, DAX, Azure, finance knowledge, and a small miracle before anyone hires you in 2026?

Good news: Power BI analyst jobs are still very real, still growing, and still one of the more practical ways to get into data without needing a computer science degree.

Bad news: the easy version of the job is getting crowded. If your CV says “created dashboards” and nothing else, you will blend into the pile.

So let’s talk clearly about what Power BI analyst jobs look like in 2026, what companies actually expect, what you can earn in the US and Europe, and how to make your CV look like you belong in the shortlist.

What Is a Power BI Analyst in 2026?#

A Power BI Analyst turns company data into reports, dashboards, and insights using Microsoft Power BI.

That sounds simple, but the job usually sits between business teams and technical teams. You are not just making pretty charts. You are helping people answer questions like:

1. Why did sales drop in Germany last quarter?
2. Which marketing channel gives the best return?
3. Why are support tickets increasing?
4. Which products are most profitable?
5. Where is inventory stuck?
6. Which teams are missing targets?
7. What should leadership do next?

In 2026, the role is less about “can you drag a bar chart onto a page?” and more about “can you turn messy business data into something managers trust?”

That trust part is huge.

A dashboard that looks nice but has wrong numbers is worse than no dashboard. Companies want analysts who can check data quality, ask smart questions, explain assumptions, and keep reports useful after launch.

Power BI Analyst vs Data Analyst vs BI Developer#

These titles overlap a lot, and job ads are not always consistent.

Here’s the practical difference.

Power BI Analyst

You focus on reporting, dashboards, and business insights, mainly using Power BI.

Typical tasks:

1. Build dashboards in Power BI Desktop
2. Write DAX measures
3. Clean data in Power Query
4. Connect to SQL databases, Excel files, SharePoint, Salesforce, SAP, or Azure
5. Meet stakeholders to gather requirements
6. Explain trends and performance
7. Maintain and improve reports

Data Analyst

You may use Power BI, but you also work with broader analysis tools.

Common tools:

1. SQL
2. Excel
3. Python or R
4. Tableau or Power BI
5. Statistics tools
6. Data warehouses

A data analyst may spend more time doing one-off analysis, experiments, customer segmentation, forecasting, or business performance reviews.

BI Developer

This role is usually more technical.

Typical tasks:

1. Build data models
2. Create ETL pipelines
3. Work with data warehouses
4. Optimize datasets
5. Manage Power BI workspaces and gateways
6. Handle row-level security
7. Support enterprise reporting systems

A BI developer may still build dashboards, but they often work deeper in the data infrastructure.

What This Means for You

If you are applying for Power BI analyst roles, you need enough technical skill to be useful, but your business communication matters just as much.

Hiring managers want someone who can sit with sales, finance, operations, or HR and say, “Okay, what decision are we trying to make here?”

That sentence alone separates you from half the applicants.

Is Power BI Analyst Still a Good Career in 2026?#

Yes, especially if you position yourself as more than a dashboard builder.

Microsoft Power BI is widely used because many companies already pay for Microsoft 365, Teams, Excel, SharePoint, and Azure. For them, Power BI fits naturally into the stack.

You will find Power BI analyst jobs at companies like:

1. Amazon
2. Microsoft
3. Deloitte
4. PwC
5. Accenture
6. Siemens
7. Unilever
8. Vodafone
9. Bosch
10. JPMorgan Chase
11. Barclays
12. IKEA
13. Nestlé
14. BMW
15. Maersk

You will also see Power BI used heavily in mid-sized companies, local governments, hospitals, universities, insurance firms, manufacturing groups, and logistics companies.

The market is healthy, but not lazy.

In 2026, AI tools can help create simple visuals and suggest measures. That means entry-level analysts need to show stronger judgment, cleaner thinking, and better business examples.

The people who win are not just clicking around in Power BI. They understand the business problem.

Typical Power BI Analyst Job Responsibilities#

Every company writes the job differently, but most Power BI analyst roles include a mix of these duties.

1. Build and Maintain Dashboards

You will create dashboards for sales, finance, operations, marketing, customer service, HR, supply chain, or executive leadership.

Common dashboard types include:

1. Sales performance dashboard
2. Revenue and margin dashboard
3. Marketing campaign dashboard
4. Customer churn dashboard
5. Inventory dashboard
6. HR attrition dashboard
7. Call center dashboard
8. Project management dashboard
9. Financial planning dashboard
10. Executive KPI dashboard

The key word is maintain.

A dashboard is not finished when you publish it. Someone will ask for a new filter, a changed KPI, a corrected definition, a faster refresh, or an export button by Friday.

2. Write DAX Measures

DAX is one of the biggest skill checks for Power BI jobs.

You do not need to be a DAX wizard for every analyst role, but you should be comfortable with:

1. CALCULATE
2. FILTER
3. SUMX
4. DIVIDE
5. RELATED
6. DATEADD
7. SAMEPERIODLASTYEAR
8. TOTALYTD
9. DISTINCTCOUNT
10. SWITCH

The real value is not memorizing formulas. It is knowing how to build measures that match business definitions.

For example:

1. Gross margin percentage
2. Rolling 12-month revenue
3. Customer retention rate
4. Average order value
5. Year-over-year growth
6. Conversion rate
7. SLA compliance
8. Forecast vs actual variance

If you can explain a DAX measure in plain English, you are already ahead.

3. Clean and Transform Data

Power Query is where many reports are saved or ruined.

You may need to:

1. Remove duplicates
2. Fix date formats
3. Split columns
4. Merge tables
5. Append files
6. Replace missing values
7. Standardize country names
8. Create calculated columns
9. Clean messy Excel exports
10. Prepare data for reporting

A lot of business data is ugly. Very ugly.

If you can take a folder full of inconsistent Excel files and turn it into a refreshable report, companies will love you.

4. Work With SQL

Most serious Power BI analyst jobs ask for SQL.

You do not always need advanced database administration skills, but you should know how to:

1. SELECT columns
2. JOIN tables
3. Filter with WHERE
4. Group results
5. Use CASE statements
6. Build basic CTEs
7. Understand primary and foreign keys
8. Check row counts
9. Find duplicates
10. Validate totals

SQL is also useful because it makes you less dependent on someone else.

If the database has the answer, you can go get it.

5. Talk to Stakeholders

This is where many technically strong candidates struggle.

Your job is not to accept every request blindly. Your job is to understand the real need.

Stakeholder questions you should ask:

1. What decision will this dashboard support?
2. Who will use it?
3. How often will they use it?
4. What KPIs matter most?
5. Where does the data come from?
6. What definitions are already agreed?
7. What action should someone take after seeing the report?
8. What does “good” look like?
9. What would make the dashboard fail?
10. Who approves the final version?

If you ask these questions in interviews, you sound like someone who has actually done the work.

Power BI Analyst Salary in 2026#

Salary depends on country, city, industry, seniority, and whether the role leans more analyst or developer.

But here are realistic 2026 salary ranges based on current market patterns and advertised roles across the US and Europe.

United States Power BI Analyst Salaries

In the US, Power BI analyst salaries are usually strong, especially in finance, healthcare, tech, consulting, and enterprise companies.

Typical ranges:

1. Entry-level Power BI Analyst: $60k to $78k
2. Mid-level Power BI Analyst: $78k to $105k
3. Senior Power BI Analyst: $105k to $135k
4. BI Analyst with SQL, Azure, and data modeling: $115k to $150k
5. Contract Power BI Analyst: $45 to $85 per hour

In cities like New York, Seattle, San Francisco, Austin, Boston, and Washington DC, salaries can sit at the higher end.

At companies like Microsoft, Amazon, JPMorgan Chase, Capital One, and Deloitte, compensation may include bonus, stock, or benefits that push total pay higher.

UK Power BI Analyst Salaries

In the UK, Power BI analyst pay varies heavily between London and other cities.

Typical ranges:

1. Junior Power BI Analyst: £28k to £38k
2. Power BI Analyst: £38k to £55k
3. Senior Power BI Analyst: £55k to £75k
4. BI Developer with Power BI and SQL: £65k to £90k
5. Contract Power BI Consultant: £350 to £650 per day

London finance roles at companies like Barclays, HSBC, Lloyds Banking Group, and Deloitte can pay very well, especially if you bring SQL, finance reporting, or regulatory reporting knowledge.

Germany Power BI Analyst Salaries

Germany has strong demand in manufacturing, logistics, insurance, retail, and consulting.

Typical ranges:

1. Junior Power BI Analyst: €42k to €55k
2. Power BI Analyst: €55k to €72k
3. Senior Power BI Analyst: €72k to €90k
4. BI Developer or Analytics Engineer: €80k to €105k
5. Freelance Power BI Consultant: €500 to €900 per day

Companies like Siemens, Bosch, BMW, Allianz, SAP, and DHL often hire BI talent, though German language skills may matter depending on the team.

Netherlands Power BI Analyst Salaries

The Netherlands is a good market for English-speaking data professionals, especially around Amsterdam, Rotterdam, Utrecht, and Eindhoven.

Typical ranges:

1. Junior Power BI Analyst: €38k to €50k
2. Power BI Analyst: €50k to €68k
3. Senior Power BI Analyst: €68k to €85k
4. BI Consultant: €75k to €100k
5. Freelance Power BI Specialist: €550 to €850 per day

Companies like Philips, ASML, ING, Rabobank, Heineken, and Booking.com use analytics heavily.

France, Spain, and Ireland

Typical Power BI salary ranges:

1. France junior: €35k to €45k
2. France mid-level: €45k to €65k
3. France senior: €65k to €85k
4. Spain junior: €28k to €38k
5. Spain mid-level: €38k to €55k
6. Spain senior: €55k to €75k
7. Ireland junior: €40k to €52k
8. Ireland mid-level: €52k to €75k
9. Ireland senior: €75k to €95k

Ireland can pay well because of big tech and multinational offices in Dublin, including Microsoft, Google, Meta, Amazon, and Salesforce.

Skills You Need for Power BI Analyst Jobs in 2026#

You do not need to know everything. You do need a believable stack.

Think of your skills in layers.

Core Power BI Skills

These are non-negotiable for most roles:

1. Power BI Desktop
2. Power Query
3. DAX
4. Data modeling
5. Visual design
6. Filters and slicers
7. Drill-through pages
8. Bookmarks
9. Power BI Service
10. Scheduled refreshes

If you are new, get strong here first. Do not jump into 17 tools while your DAX is still shaky.

Data Skills

These make you more hireable:

1. SQL
2. Excel advanced formulas
3. Pivot tables
4. Data validation
5. Data cleaning
6. Basic statistics
7. KPI design
8. Data quality checks
9. Data documentation
10. Understanding relational databases

Excel is still everywhere, by the way.

Some people act like Excel is old news. Then they join a company and find out the CFO still runs half the reporting cycle from workbooks named “Final_v9_REAL_FINAL.xlsx.”

Business Skills

This is where you can stand out fast.

Useful business knowledge includes:

1. Revenue
2. Gross margin
3. Net profit
4. Customer acquisition cost
5. Lifetime value
6. Churn
7. Conversion rate
8. Forecast accuracy
9. Inventory turnover
10. SLA performance

You do not need an MBA. You just need to understand what the numbers mean and why someone cares.

Bonus Technical Skills

These can push you into better-paid roles:

1. Azure Data Factory
2. Microsoft Fabric
3. Databricks
4. Snowflake
5. dbt
6. Python
7. Power Automate
8. SharePoint integration
9. Row-level security
10. Data warehouse concepts

Microsoft Fabric is becoming more common in Microsoft-heavy companies. You do not need to master it for every analyst job, but knowing the basics can help.

Best Certifications for Power BI Analyst Jobs#

Certifications will not save a weak portfolio, but they can help you pass recruiter filters.

Microsoft PL-300

The main certification is:

Microsoft Certified: Power BI Data Analyst Associate, exam PL-300

This is the most relevant certification for Power BI analyst roles.

It covers:

1. Preparing data
2. Modeling data
3. Visualizing and analyzing data
4. Deploying and maintaining assets

If you are serious about Power BI, PL-300 is worth considering.

Other Useful Certifications

Depending on your path, these can help too:

1. Microsoft Azure Fundamentals, AZ-900
2. Microsoft Fabric Analytics Engineer Associate, DP-600
3. SQL certification from DataCamp, Coursera, or Microsoft Learn
4. Google Data Analytics Certificate
5. Tableau certification, if applying to mixed BI roles
6. AWS Cloud Practitioner, for cloud-aware roles

Do not collect certificates like Pokémon.

One strong certification plus a clear portfolio beats six random badges and no proof you can solve business problems.

Power BI Analyst Portfolio Ideas That Actually Impress#

If you are trying to get hired in 2026, build a portfolio with business context.

A dashboard screenshot is nice. A dashboard with a problem, method, insight, and result is much better.

Portfolio Project 1: Sales Performance Dashboard

Use sample retail or ecommerce data.

Include:

1. Monthly revenue
2. Gross margin
3. Top products
4. Sales by region
5. Year-over-year growth
6. Customer segments
7. Return rates
8. Sales rep performance

Add a short write-up:

1. What problem were you solving?
2. What data did you clean?
3. What DAX measures did you create?
4. What insights did you find?
5. What action should the business take?

Portfolio Project 2: Customer Churn Dashboard

This works well for SaaS, telecom, subscription, and banking roles.

Include:

1. Churn rate
2. Retention rate
3. Churn by plan type
4. Churn by customer age
5. Revenue lost to churn
6. High-risk customer segments
7. Monthly cohort trends
8. Suggested retention actions

Companies love churn analysis because it links directly to money.

Portfolio Project 3: HR Attrition Dashboard

Good for HR analytics roles.

Include:

1. Attrition rate
2. Attrition by department
3. Attrition by tenure
4. Salary band analysis
5. Promotion history
6. Overtime patterns
7. Hiring trends
8. Diversity metrics, handled carefully and ethically

This project shows you can work with sensitive business data.

Portfolio Project 4: Supply Chain Dashboard

Great for manufacturing, retail, and logistics jobs.

Include:

1. Inventory levels
2. Stockouts
3. Lead time
4. Supplier performance
5. Order delays
6. Warehouse utilization
7. Transport costs
8. Forecast vs actual demand

This type of dashboard can appeal to companies like DHL, Maersk, Amazon, Siemens, and IKEA.

How to Write a Power BI Analyst CV#

Your CV should not read like a tool list.

Bad bullet:

1. Used Power BI to create dashboards.

Better bullet:

1. Built a Power BI sales dashboard used by 12 regional managers, reducing weekly manual reporting time by 8 hours and improving visibility into €4.2m monthly revenue.

See the difference?

One says you touched Power BI. The other says you created business value.

Strong CV Keywords for Power BI Analyst Jobs

Use keywords naturally, especially if the job ad includes them:

1. Power BI
2. DAX
3. Power Query
4. SQL
5. Data modeling
6. Dashboard development
7. KPI reporting
8. Business intelligence
9. Data visualization
10. Power BI Service
11. Data cleaning
12. Stakeholder management
13. ETL
14. Row-level security
15. Microsoft Fabric
16. Azure
17. Excel
18. Data warehouse
19. Report automation
20. Performance optimization

Do not stuff them into one ugly paragraph. Put them in skills, experience bullets, and project descriptions.

CV Bullet Examples

Use these as patterns:

1. Developed Power BI dashboards tracking $18m in annual sales across 5 regions, helping leadership identify underperforming product lines.
2. Automated monthly finance reporting with Power Query and SQL, cutting manual Excel work from 2 days to 3 hours.
3. Created DAX measures for gross margin, year-over-year revenue growth, and rolling 12-month sales trends.
4. Partnered with operations managers to define KPIs for delivery performance, reducing reporting disputes between teams.
5. Built row-level security in Power BI Service for 80 users across sales, finance, and management teams.
6. Cleaned and merged data from Salesforce, Excel, and SQL Server to create a single customer performance report.
7. Improved report refresh time by 45% through data model changes and removal of unused columns.
8. Designed executive dashboard tracking €12m operating budget, forecast variance, and department-level spend.

Numbers make your CV much stronger.

If you do not have exact numbers, use reasonable context:

1. 10 plus stakeholders
2. 5 departments
3. Weekly reporting
4. Monthly revenue
5. 20k records
6. 3 data sources
7. 30% faster refresh
8. 6 hours saved per week

Common Power BI Analyst Interview Questions#

Power BI interviews usually test three things: technical skill, business thinking, and communication.

Technical Questions

Expect questions like:

1. What is the difference between a calculated column and a measure?
2. How does CALCULATE work in DAX?
3. What is filter context?
4. How do you handle many-to-many relationships?
5. What is a star schema?
6. How do you improve a slow Power BI report?
7. How do you set up row-level security?
8. What is Power Query used for?
9. How do you connect Power BI to SQL Server?
10. How do you schedule refreshes in Power BI Service?

Do not panic if you cannot answer every advanced question. Explain your thinking.

A calm, structured answer beats a memorized answer that falls apart under follow-up questions.

Business Questions

You may hear:

1. Tell me about a dashboard you built.
2. How do you gather requirements from stakeholders?
3. What do you do if two teams disagree on a KPI definition?
4. How do you make sure your dashboard is accurate?
5. How do you decide which visuals to use?
6. How do you explain technical issues to non-technical managers?
7. How do you handle urgent reporting requests?
8. What would you do if a dashboard shows a surprising drop in revenue?

For these, use stories.

Try this structure:

1. Situation
2. Problem
3. Action
4. Result
5. What you learned

Keep it clear and human.

Mini Case Example

Interviewer says:

“Sales leadership says revenue is down 12% this quarter. What would you check?”

A good answer:

1. Confirm the revenue definition
2. Check whether returns, discounts, taxes, or cancelled orders are included
3. Compare by product, region, channel, and customer segment
4. Check if the drop is volume, price, or mix
5. Look for data refresh or missing data issues
6. Compare to same quarter last year
7. Identify whether one large customer or product caused the change
8. Summarize likely causes and next actions

That shows business thinking, not just chart-making.

Remote Power BI Analyst Jobs in 2026#

Remote and hybrid Power BI jobs still exist, but competition is higher.

Remote roles often expect you to be more independent. Nobody wants to chase you all day on Teams asking whether the dashboard is ready.

To win remote roles, show that you can:

1. Manage requirements clearly
2. Document data sources
3. Communicate progress
4. Work async
5. Handle stakeholder feedback
6. Troubleshoot refresh issues
7. Present insights on video calls
8. Own a reporting area end to end

Remote-friendly companies and consulting firms may hire across states or countries, but tax, legal, and time zone rules still matter.

US remote Power BI roles often pay $75k to $125k. EU remote roles vary widely, from €45k in lower-cost countries to €90k plus for senior roles in Germany, Netherlands, Ireland, or remote-first tech firms.

Contract remote work can pay more, but you need stronger proof and faster delivery.

Entry-Level Power BI Analyst Jobs: How to Get In#

If you are starting from zero, do not try to look like a senior BI architect.

Aim for believable junior roles:

1. Junior Data Analyst
2. Reporting Analyst
3. BI Analyst
4. Power BI Analyst
5. Sales Operations Analyst
6. Finance Reporting Analyst
7. Operations Analyst
8. Marketing Analyst
9. Data Reporting Specialist
10. MIS Analyst

Sometimes the best first Power BI job does not have “Power BI” in the title.

A sales operations analyst using Power BI every week can become a BI analyst later. Same with finance reporting, HR analytics, or operations reporting.

Your 90-Day Plan

If you want a practical path, try this.

Days 1 to 30: Build the Base

1. Learn Power BI Desktop
2. Practice Power Query
3. Learn basic DAX
4. Refresh Excel skills
5. Learn SQL SELECT, JOIN, GROUP BY, and CASE
6. Rebuild 3 dashboards from YouTube tutorials, but do not put copies in your portfolio

Days 31 to 60: Build Real Projects

1. Create a sales dashboard
2. Create a churn or HR dashboard
3. Write short project summaries
4. Publish screenshots or interactive links if safe
5. Add business recommendations
6. Practice explaining your work out loud

Days 61 to 90: Apply and Improve

1. Build a targeted CV
2. Apply to 10 to 15 jobs per week
3. Customize your top CV bullets for each role
4. Message recruiters politely on LinkedIn
5. Practice interview questions
6. Improve one portfolio project each week
7. Track applications in a spreadsheet

Do not wait until you feel 100% ready.

Most people hired into junior roles are still learning. The trick is to show you can learn fast and think clearly.

Industries Hiring Power BI Analysts#

Power BI is everywhere, but some industries hire more often.

Finance and Banking

Companies like JPMorgan Chase, Barclays, HSBC, ING, Capital One, and Deutsche Bank need reporting for risk, performance, compliance, customer analytics, and finance.

Useful skills:

1. SQL
2. Excel
3. Financial KPIs
4. Regulatory reporting
5. Data accuracy
6. Access controls

Healthcare

Hospitals, insurers, pharma companies, and health tech firms use Power BI for patient flow, claims, staffing, cost tracking, and quality reporting.

Useful skills:

1. Data privacy
2. Operational dashboards
3. Claims data
4. Patient metrics
5. Compliance awareness

US healthcare analyst roles can pay $70k to $115k, depending on experience.

Retail and Ecommerce

Amazon, Walmart, Zalando, Tesco, IKEA, and many ecommerce companies need sales, inventory, marketing, and customer dashboards.

Useful skills:

1. Sales KPIs
2. Inventory analysis
3. Customer segmentation
4. Marketing attribution
5. Forecasting basics

Manufacturing and Logistics

Companies like Siemens, Bosch, BMW, DHL, Maersk, and GE use Power BI for production, supply chain, procurement, maintenance, and delivery performance.

Useful skills:

1. Supply chain KPIs
2. Production reporting
3. Supplier analysis
4. Lead time tracking
5. Cost variance

Consulting

Deloitte, PwC, EY, KPMG, Accenture, and Capgemini hire BI analysts and consultants for client projects.

Consulting can be intense, but you learn quickly.

You may work across industries, which is great for your CV. Just be ready for changing requirements and quick deadlines.

Mistakes That Keep Power BI Applicants Stuck#

A few common mistakes can quietly hurt your chances.

Mistake 1: Only Learning Visuals

Visuals are the fun part, but data modeling is where the serious work happens.

If your model is messy, your report will be slow, confusing, or wrong.

Learn star schema basics. Learn relationships. Learn why one fact table with clean dimensions usually beats one giant flat table.

Mistake 2: Ignoring SQL

Power BI without SQL can still get you some jobs, but SQL opens many more.

Recruiters search for it. Hiring managers ask for it. Real company data often lives in databases.

Mistake 3: No Business Context

A dashboard titled “Sales Dashboard” is okay.

A project called “Identifying a 9% margin drop across discount-heavy product categories” sounds much better.

Give your work a business reason.

Mistake 4: Weak CV Bullets

If every bullet starts with “responsible for,” rewrite it.

Use action plus tool plus business result.

Example:

1. Automated weekly KPI report in Power BI, saving 6 hours per week for the operations team.

Simple, but much stronger.

Mistake 5: Applying to Everything With One CV

Please do not send the same generic CV to 200 jobs and then decide the market is broken.

For your best opportunities, adjust:

1. Summary
2. Skills order
3. Top 3 experience bullets
4. Project examples
5. Keywords from the job ad

It takes 10 minutes. It can change your response rate.

What Will Change for Power BI Analysts in 2026?#

The biggest shift is that basic dashboard production is becoming easier.

AI features can suggest visuals, generate quick summaries, help write formulas, and speed up data prep. That does not remove the analyst. It changes what makes you valuable.

In 2026, strong Power BI analysts will be valued for:

1. Asking better business questions
2. Validating data
3. Defining KPIs
4. Designing trusted models
5. Explaining trade-offs
6. Spotting misleading trends
7. Turning insights into decisions
8. Managing stakeholders
9. Protecting sensitive data
10. Connecting reporting to real business outcomes

If you only know where the buttons are, you are replaceable.

If you understand the business and can prove your analysis is reliable, you are useful.

Final Take: Power BI Analyst Jobs Are Worth Targeting#

Power BI analyst jobs in 2026 are a strong option if you like data, business problems, and practical tools.

You can earn solid money, especially in the US, UK, Germany, Netherlands, and Ireland. You can work in finance, retail, healthcare, manufacturing, consulting, tech, and government. You can also grow into roles like senior BI analyst, BI developer, analytics engineer, data analyst, reporting manager, or BI consultant.

Your best move is to build the full package:

1. Power BI skills
2. DAX basics
3. SQL confidence
4. Business KPI knowledge
5. A useful portfolio
6. A CV with numbers and outcomes
7. Interview stories that show how you think

And please, before you apply to another 30 roles, check whether your CV is actually getting through applicant tracking systems. Run it through the free JobRise ATS checker here: https://jobrise.io/en/free-ats-checker/