10 Business Intelligence Jobs Hiring Now That You Should Know

You’re probably wondering which business intelligence jobs are in demand right now. Here are the top 10 roles you should check out:

• Business Intelligence Analyst
• Data Analyst
• Data Scientist
• Data Engineer
• BI Developer
• Analytics Manager
• Data Architect
• BI Consultant
• Data Governance Specialist
• Machine Learning Engineer

Most companies need you to analyze data, build reports, and guide decisions. Skills like SQL, Python, and dashboard design help you stand out. Salaries range from $58,000 to $112,000 per year, with cities like Los Angeles offering up to $96,745. Major employers are hiring faster than ever, especially as platforms like FanRuan and FineBI make analytics more accessible. If you’re a business analyst or just starting out, now’s the time to explore these opportunities.

Every demo in this article was designed using FineBI. Ready to unlock smarter insights? Click below to start your free FineBI trial and see what’s possible!

Business Intelligence Jobs Demand 2025

Industry Trends

You’re living in a world where data shapes almost every business move. Companies want to make smarter choices, so they look for people who can turn raw data into clear insights. The demand for business intelligence jobs keeps rising. In fact, experts predict a 21% growth rate for BI analyst roles from 2018 to 2028. That’s much faster than most other fields. Why is this happening? Several industries are driving this surge, including:

• Government and NGOs use data for policy and crisis response.
• Hospitality relies on data for pricing and demand management.
• Fashion and retail track trends and sales with data.
• Human resources analyze recruitment and turnover data.
• Manufacturing monitors equipment and supply chain data.
• Media, healthcare, telecom, and transportation all depend on data to improve services.

You see this trend everywhere. More companies want to use data to stay ahead, so they need skilled people who understand both technology and business.

Data-Driven Decisions

You probably notice that data-driven decision-making is now the norm. Leaders don’t just guess anymore. They use data to guide hiring, marketing, and even daily operations. This shift means you need to know how to collect, clean, and analyze data. Companies use data-driven decision-making to spot trends, predict what customers want, and fix problems before they grow. They also use data to compare themselves to competitors and plan for the future. If you can help a business make better choices with data, you become a valuable asset.

Data-driven decision-making also changes how companies hire. HR teams use data to find skill gaps, benchmark against other companies, and plan for new roles. With the right data, they can spot hiring trends and act fast. You’ll find that organizations now expect you to use data in almost every part of your job.

Self-Service BI Tools

You don’t need to be a tech wizard to work with data anymore. Self-service BI tools like FineBI from FanRuan make it easy for anyone to explore and visualize data. These tools let you build dashboards, run reports, and share insights without waiting for IT support. Large companies and small businesses both use these tools to speed up data-driven decision-making.

Here’s a quick look at how self-service BI tools are changing the game:

With self-service BI, you spend less time waiting for reports and more time making decisions. As a result, business intelligence jobs now focus more on data governance, training, and supporting business users. You help others use data correctly, making you a key player in any organization.

Top Business Intelligence Jobs

Business Intelligence Analyst

Role Overview

You help companies make sense of their data. As a business intelligence analyst, you turn numbers into stories that guide business decisions. You work with tools like FineBI from FanRuan to connect different data sources and build dashboards. Your job is to find trends, spot problems, and help teams understand what the data means.

Key Responsibilities

• You collect and organize data from many places.
• You build reports and dashboards that show key business metrics.
• You analyze data to find patterns and opportunities.
• You share insights with managers and other teams.
• You work with IT and business users to improve data quality.

Tip: Using self-service BI tools like FineBI lets you create dashboards quickly and share them with your team.

Skills & Qualifications

You need strong math and computer skills. Most business intelligence analyst jobs ask for a degree in mathematics, computer science, or a related field. You should know how to use SQL and manage databases. You need to prepare, mine, and visualize data. Communication is important because you explain your findings to people who may not know much about data. Certifications like CompTIA Data+ can help you stand out.

Key skills you need: 1. Data preparation and cleaning 2. Data mining and pattern discovery 3. Statistical analysis 4. Descriptive analysis 5. Data visualization and dashboard creation

Salary Range

Here’s what you can expect to earn as a business intelligence analyst:

You might start at $70,000 and move up to $125,000 or more with experience.

Data Analyst

Role Overview

You dig into data and find answers to business questions. As a data analyst, you transform raw data into useful insights. You use SQL, Python, and BI tools like FineBI to explore data sets. You help teams understand what is happening in the business and why.

Key Responsibilities

• You collect, clean, and organize data from different sources.
• You run queries and analyze data to answer business questions.
• You create charts, dashboards, and reports to show your findings.
• You work with other teams to solve problems using data.
• You help improve data quality and make sure data is accurate.

Note: FineBI makes it easy for you to connect to databases, upload files, and visualize data without coding.

Skills & Qualifications

You need strong communication skills to share your findings. You should be curious and always want to learn more about data. Problem-solving and critical thinking help you spot trends and fix issues. You need to know SQL and sometimes Python or R. You should be able to use Excel, SPSS, or SAS for analysis.

Skills you need as a data analyst:

1. Data warehousing and management
2. ETL and data modeling
3. Data preparation and transformation
4. Data analysis and mining
5. Data visualization and storytelling
6. Programming (SQL, Python, R)
7. Communication and teamwork
8. Attention to detail

Salary Range

Most data analyst jobs pay between $60,000 and $100,000 per year. Your salary depends on your experience and location.

Data Scientist

Role Overview

You use advanced math and computer skills to predict what will happen next. As a data scientist, you build models and use machine learning to find patterns in data. You help companies make smart choices by showing them what the data says about the future.

Key Responsibilities

• You collect and clean large sets of data.
• You use statistical and machine learning methods to analyze data.
• You build predictive models to forecast trends.
• You share your results with business leaders.
• You work with data engineers and analysts to improve data pipelines.

Tip: FineBI supports advanced analytics and can help you visualize complex data models.

Skills & Qualifications

You need a strong background in math, statistics, and computer science. You should know how to use Python, R, and SQL. You need to understand machine learning and predictive analytics. Communication is key because you explain complex ideas to people who may not know much about data.

FineBI comes with a built-in ChatBI module — simply ask questions in natural language and get instant, powerful data analysis

Skills you need as a data scientist:

1. Data collection and cleaning
2. Statistical analysis and modeling
3. Machine learning and predictive analytics
4. Data visualization
5. Programming (Python, R, SQL)
6. Communication and teamwork

Salary Range

Data scientist salaries vary a lot. You can expect to earn from $90,000 to $150,000 or more, depending on your experience and the company.

Data Engineer

Role Overview

You play a crucial role in the business intelligence world as a data engineer. You build the foundation that allows companies to use their data effectively. You design and maintain systems that collect, store, and process information from many sources. You make sure data is clean, organized, and ready for analysis. You often work with tools like FineBI from FanRuan to connect databases, automate workflows, and support analytics teams.

Key Responsibilities

Your day-to-day work as a data engineer involves many tasks. You focus on making data accessible and reliable for everyone in your organization.

• You acquire data from various sources, including databases, APIs, and files.
• You develop, construct, test, and maintain data architectures and pipelines.
• You align data architecture with business needs.
• You use programming languages and tools to build scalable data solutions.
• You improve data quality, efficiency, and reliability.
• You prepare data for predictive and prescriptive modeling.
• You identify hidden patterns and inconsistencies in data.
• You create big data warehouses for reporting and analysis.
• You support data scientists and analysts by providing clean, accessible data.
• You automate manual tasks to boost efficiency and reduce errors.

Tip: FineBI and FineDataLink help you streamline data integration, automate ETL processes, and ensure high-quality data for business intelligence.

Skills & Qualifications

You need strong technical skills to succeed as a data engineer. You should know how to use Python, SQL, and big data tools like Hadoop and Spark. You must understand data modeling, ETL processes, and data governance. Communication matters because you work with analysts, scientists, and business users. You also need to stay updated with new technologies and best practices.

Key skills for you:

• Programming (Python, SQL)
• Data modeling and architecture
• ETL pipeline development
• Big data frameworks (Hadoop, Spark)
• Data quality and security
• Automation and workflow optimization
• Collaboration and teamwork

Salary Range

You can expect competitive pay as a data engineer. In the United States, salaries range from $90,000 to $140,000 per year, depending on your experience and location. Senior data engineers often earn more, especially in tech hubs like San Francisco and New York.

BI Developer

Role Overview

You transform business needs into actionable insights as a bi developer. You design, build, and maintain dashboards and reports that help teams make smart decisions. You work closely with business users to understand their requirements. You use tools like FineBI from FanRuan to create interactive visualizations and automate reporting.

Key Responsibilities

Your main goal as a bi developer is to turn raw data into clear, useful information. You focus on usability, performance, and integration.

• You create data pipelines and model tables for reporting.
• You manage reporting layers and ensure data usability.
• You develop scalable BI infrastructure.
• You optimize dashboards and integrate data across systems.
• You design system-wide schemas and enforce data governance.
• You enable real-time or near-real-time reporting.
• You ensure clean, modeled, and accessible data for decision-making.

Note: FineBI’s drag-and-drop dashboard builder lets you deliver insights quickly, even if you don’t have coding experience.

Skills & Qualifications

You need a mix of technical and business skills as a bi developer. You should know SQL, Python, and BI platforms like FineBI, Power BI, or Tableau. You must understand data modeling, ETL, and visualization best practices. You also need strong communication skills to work with business users and IT teams.

Skills you need:

• SQL and database management
• Data modeling and ETL
• Dashboard and report design
• BI tool expertise (FineBI, Power BI, Tableau)
• Data integration and automation
• Performance optimization
• Communication and teamwork

Salary Range

You can earn a solid salary as a bi developer. In the United States, the average salary is around $110,000 per year. Entry-level roles start at $70,000, while senior positions can reach $140,000 or more. Top-paying cities include San Francisco, Seattle, and New York.

Analytics Manager

Role Overview

You lead the analytics team and guide the company’s data strategy as an analytics manager. You set goals, manage projects, and make sure your team delivers valuable insights. You work with business leaders to align analytics with company objectives. You often use platforms like FineBI to monitor performance and share results.

Key Responsibilities

You oversee analytics projects from start to finish. You manage people, budgets, and timelines. You make sure your team uses data to solve business problems and drive growth.

• You define analytics goals and strategies.
• You manage analytics teams and delegate tasks.
• You oversee data collection, analysis, and reporting.
• You ensure data quality and governance.
• You communicate insights to executives and stakeholders.
• You evaluate BI tools and recommend solutions.
• You promote a data-driven culture across the organization.

Tip: FineBI’s collaborative features help you share dashboards and insights with your team and leadership.

Skills & Qualifications

You need a strong mix of technical, analytical, and leadership skills. Most analytics managers have degrees in business analytics, computer science, or management. You should understand statistical analysis, data mining, and predictive modeling. You also need experience with BI tools and project management.

Data Architect

Role Overview

You play a key role as a data architect in any organization that wants to use data for smart decisions. You design the big picture for how data moves, gets stored, and stays safe. You act as a bi solutions architect, making sure every piece of data fits together and supports business goals. You help teams understand how to use data, and you make sure the systems are ready for future needs.

Key Responsibilities

As a data architect, you wear many hats. You need to think about both the technical side and the business side. Here’s what you do every day:

• Design and manage end-to-end data architecture solutions, including data models, database standards, and analytics systems.
• Create frameworks to track data assets and their flow, making sure everything works together for data processing and AI.
• Monitor system health, define KPIs, and suggest ways to improve data infrastructure.
• Ensure data security and compliance with rules like HIPAA and GDPR by setting up access controls and privacy measures.
• Implement data management processes such as data ingestion, transformation, and storage to keep data quality high.
• Work closely with data engineers and stakeholders to maintain good data quality and access control.
• Build strong data models that show how different data entities connect.
• Develop data strategies that match business goals and help with data-driven decisions.
• Bridge the gap between technical data concepts and business needs by explaining complex ideas in simple terms.

Tip: If you use platforms like FineBI from FanRuan, you can streamline your data architecture and make your job as a bi solutions architect much easier.

Skills & Qualifications

You need a mix of technical and communication skills. You should know about databases, data modeling, and cloud storage. You must understand data security and privacy laws. You also need to explain technical ideas to people who don’t work with data every day. Experience with BI tools like FineBI helps you stand out as a bi solutions architect.

Key skills:

• Data modeling and database design
• Data integration and ETL processes
• Cloud data platforms (AWS, Azure, Google Cloud)
• Data security and compliance
• Communication and teamwork
• BI tools and analytics platforms

Salary Range

You can expect a strong salary as a data architect. Most jobs pay between $110,000 and $160,000 per year in the United States. Senior data architects and bi solutions architects can earn even more, especially in large companies or tech hubs.

BI Consultant

Role Overview

You help companies get the most out of their data as a BI consultant. You act as a bi solutions architect, guiding businesses on how to use BI tools and data strategies. You work with clients to understand their needs, set up BI systems, and train teams to use data for better decisions. You often use platforms like FineBI to deliver fast, effective solutions.

Key Responsibilities

Your job as a BI consultant covers many areas:

• Analyze business needs and design custom BI solutions.
• Set up and configure BI tools, making sure data flows smoothly.
• Train users and teams to use dashboards and reports.
• Act as a bi solutions architect, helping clients build strong data strategies.
• Troubleshoot data issues and recommend improvements.
• Stay updated on the latest BI trends and tools.
• Work with IT and business leaders to align BI projects with company goals.

Note: FineBI’s self-service features make it easy for you to empower clients and speed up BI adoption.

Skills & Qualifications

You need strong problem-solving skills and a deep understanding of BI tools. You should know how to work with data, build dashboards, and explain technical ideas to non-technical users. Experience as a bi solutions architect is a big plus.

Key skills:

• BI tool expertise (FineBI, Power BI, Tableau)
• Data integration and modeling
• Project management
• Communication and training
• Business analysis
• Data visualization

Salary Range

Here’s what you can expect as a BI consultant in 2025:

Data Governance Specialist

Role Overview

You make sure data stays accurate, safe, and useful as a data governance specialist. You set the rules for how data gets used and shared. You help build a data-driven culture and act as a bi solutions architect, making sure everyone follows best practices. You work with business and IT teams to keep data quality high and meet legal requirements.

Key Responsibilities

You have a big impact on how organizations use data. Here’s what you do:

• Establish data ownership and accountability.
• Lead governance committees and promote a data-driven culture.
• Identify and fix data quality issues.
• Implement best practices for data management.
• Oversee data governance tools and promote data literacy.
• Support governance initiatives and manage stakeholder relationships.
• Ensure compliance with privacy laws like GDPR and CCPA.
• Develop policies and procedures for data integrity and quality.
• Use analytics tools to monitor and clean data.
• Communicate the importance of data governance to all teams.

Note: If you use FineBI, you can track data quality and support governance efforts with real-time dashboards.

Skills & Qualifications

You need both technical and soft skills. You should know data governance frameworks, data management, and privacy laws. You must be able to lead teams, solve problems, and communicate clearly. Experience as a bi solutions architect helps you manage complex data environments.

Key skills:

• Data governance frameworks and methodologies
• Data quality assessment and management
• Privacy regulations (GDPR, CCPA)
• Data architecture and modeling
• Metadata management and data lineage tools
• BI tools and analytics platforms
• Leadership and stakeholder management
• Communication and collaboration

Salary Range

Most data governance specialists earn between $85,000 and $135,000 per year. Senior roles or those with bi solutions architect experience can earn more, especially in regulated industries like healthcare and finance.

Machine Learning Engineer

Role Overview

You step into the world of business intelligence as a machine learning engineer. In this role, you build smart systems that help companies make sense of their data. You use algorithms and models to find patterns, predict trends, and turn raw data into valuable insights. Your work connects the dots between complex data and real business needs. Companies count on you to help them stay ahead by using data in new and powerful ways. With tools like FineBI from FanRuan, you can create interactive dashboards that show the results of your models in real time.

Key Responsibilities

As a machine learning engineer, you do much more than just write code. You work with large sets of data every day. Here’s what you usually handle:

• Collect and clean data from different sources so it’s ready for analysis.
• Build and train machine learning models that solve real business problems.
• Test your models to make sure they work well with new data.
• Work with business analysts and data scientists to understand what the company needs.
• Turn your models into dashboards and reports that anyone can use.
• Explain your findings to people who may not know much about data or technology.
• Keep up with new trends in machine learning and business intelligence.
• Use platforms like FineBI to share your results and help teams make better decisions.

Tip: If you use self-service BI tools, you can quickly turn your machine learning results into easy-to-read dashboards for your team.

Skills & Qualifications

You need a strong mix of technical and communication skills. You should know how to work with data, from collecting it to cleaning and organizing it. You must understand machine learning algorithms and how to use them with real business data. Programming skills in Python or R help you build and test your models. You also need to use SQL to manage data in databases. Experience with BI tools like FineBI, Tableau, or Power BI makes your job easier. You should be able to explain your work to people who don’t have a technical background. Curiosity and a love for learning new things will help you grow in this field.

Key skills for you:

• Data collection, cleaning, and preparation
• Machine learning model development
• Programming (Python, R, SQL)
• Data visualization and dashboard creation
• Communication and teamwork
• Business problem-solving

Salary Range

You can expect a strong salary as a machine learning engineer in business intelligence. Most jobs pay between $105,000 and $154,000 per year. This range shows how important your skills are in today’s data-driven world. Companies want people who can turn data into smart decisions. If you have experience and can show real results, you may earn even more.

Note: The growing need for data-driven strategies means you will find many opportunities in this field. Your ability to turn data into business value makes you a key player in any company.

Business Intelligence Jobs & FanRuan Solutions

FineBI Features

When you step into business intelligence jobs, you want tools that make your work easier and faster. FineBI from FanRuan gives you just that. You can connect to many types of data, analyze it, and share your findings with your team. FineBI stands out because it is simple to use but powerful enough for big tasks.

Here’s what you get with FineBI:

• Self-service analytics that let you explore data without waiting for IT.
• Support for many data sources, like big data platforms, databases, and Excel files.
• A high-performance engine that handles huge amounts of data and thousands of users at once.
• Easy data cleaning and ETL tools with a visual interface.
• Augmented analytics that help you find insights automatically.
• Drag-and-drop dashboards for quick, flexible analysis.
• Role-based access control to keep your data safe.
• Real-time analysis so you always see the latest numbers.
• Mobile apps for checking reports on your phone or tablet.
• Training resources, videos, and guides to help you learn.
• A self-service dataset module that lets you work with data step by step.

Tip: FineBI’s self-service features mean you can answer business questions on your own, making you more valuable in your role.

Integration & Data Management

You need a BI tool that connects to all your data sources and keeps everything running smoothly. FineBI makes integration simple and flexible. You can connect to databases, cloud platforms, and even big data systems. FineBI’s integration features help you manage data from many places, so you always have what you need for analysis.

Let’s see how FineBI compares to another popular BI tool, Yellowfin:

You can see that FineBI scores high for integration and ease of use. This means you spend less time setting up and more time working with your data.

Real-Time Analytics

In business intelligence jobs, you need answers fast. FineBI helps you get real-time feedback on your data. You can check your dashboards and see the latest results right away. This tool improves your data analysis speed by at least 50% compared to old methods. You can spot trends, fix problems, and make decisions without delay.

• FineBI gives you instant feedback when you process data.
• You can clarify business questions right away.
• Real-time analytics help you stay ahead and respond quickly to changes.

Note: With FineBI, you never have to wait for data updates. You always work with the most current information, which makes your job easier and your insights more valuable.

Self-Service & Collaboration

When you work in business intelligence, you want tools that let you take control of your own data. FineBI from FanRuan gives you the power to do just that. You don’t have to wait for IT or be a tech expert. With FineBI, you can explore, analyze, and share data on your own, making your job easier and your team stronger.

FineBI makes self-service analytics simple. You get an intuitive drag-and-drop interface. You can connect to different data sources, prepare your data, and build dashboards—all without writing code. This means you can answer business questions fast and show your findings to others right away.

FineBI covers the full business intelligence workflow. You start with data preparation, move to processing, then visualization, and finally sharing. Each step is designed for users of all skill levels.

Here’s how FineBI helps you and your team work better together:

• You can organize data into subjects, components, and dashboards. This structure makes it easy to find what you need and keeps your work clear.
• You can create interactive dashboards that let others explore data from different angles. Stakeholders can filter, drill down, and see the details they care about.
• FineBI supports subject collaboration. You and your teammates can view, edit, and comment on shared datasets and dashboards. This makes teamwork smooth and keeps everyone on the same page.
• When you finish preparing a self-service dataset, you can publish it to a public repository. After admin review, others in your organization can reuse your data, saving time and effort.
• Dashboard sharing is easy. You can generate public links or publish dashboards so others can access them directly. No more emailing files back and forth.
• FineBI’s self-service datasets let you edit and process data with minimal learning. You don’t need to rely on IT for every change, which speeds up your workflow.
• Interactive dashboards support multi-dimensional analysis. You and your team can explore data together, ask new questions, and make decisions based on real insights.

Here’s a quick look at what you can do with FineBI:

You don’t just analyze data—you share knowledge and drive better business outcomes. FineBI helps you master analysis skills and makes collaborative data exploration part of your daily routine. When everyone can access and understand data, your whole organization becomes more agile and informed.

Business Intelligence Jobs Career Trends

Skills in Demand

You might wonder what skills help you stand out in business intelligence jobs. Companies want people who can work with data every day. If you know how to collect, clean, and analyze data, you already have a head start. Many employers look for skills in SQL, Python, and data visualization. You should also know how to use BI tools like FineBI. These tools help you turn raw data into clear charts and dashboards.

If you want to become a data analyst or a business analyst, you need to understand how to find patterns in data. You should practice building reports and telling stories with numbers. Communication matters just as much as technical skills. You will often explain your findings to people who do not work with data. Problem-solving and critical thinking help you answer tough questions. Companies also value teamwork, so you should learn how to share your work and help others.

Tip: If you want to move into a data scientist role, start by learning how to build models and use machine learning. This skill set is in high demand and can open new doors for your career.

Remote & Hybrid Work

You have more choices than ever about where you work. Many business intelligence jobs now offer remote or hybrid options. You can work from home, from the office, or a mix of both. This flexibility helps you balance your job with your personal life. Employers know that you can analyze data and build dashboards from anywhere. As long as you have a good internet connection, you can join meetings, share reports, and solve problems.

Remote work also means you can join teams from different cities or even countries. You might work with a data analyst in New York and a business analyst in London. This setup lets you learn from others and see how different companies use data. You can also find more job openings because you are not limited by location.

Industry Sectors

You can find business intelligence jobs in almost every industry. Companies in healthcare, finance, retail, and manufacturing all need people who can work with data. If you like helping hospitals improve patient care, you can join a healthcare team. If you enjoy tracking sales and customer trends, retail companies need your skills. Banks and insurance firms hire data analysts to spot risks and find new business opportunities.

You might also work for a tech company, a government agency, or a school district. Each sector uses data in its own way. For example, a business analyst in manufacturing might focus on supply chain data, while a data analyst in education looks at student performance. No matter where you work, your ability to turn data into insights will help you grow your career.

Career Growth

You might wonder what your future looks like if you choose a career in business intelligence. The good news? You have a lot of room to grow. Companies everywhere need people who know how to work with data. As you gain experience, you can move up fast and take on bigger challenges.

When you start out, you may work as a data analyst or junior business intelligence analyst. You spend your days collecting data, cleaning it, and building simple reports. Over time, you learn how to spot trends and tell stories with data. You also get better at using tools like FineBI to make your work easier.

After a few years, you can step into roles like senior analyst, BI developer, or even analytics manager. In these jobs, you lead projects and help others understand the value of data. You might design dashboards, manage data pipelines, or train new team members. Your skills with data become more advanced, and you start to see the big picture.

If you love solving problems, you can become a data scientist or machine learning engineer. These roles let you build models that predict what will happen next. You use data to answer tough questions and help your company stay ahead of the competition. You also get to work with the latest technology and learn new things every day.

Some people choose to become data architects or BI consultants. In these jobs, you design systems that help companies use data better. You might work with different teams, set up new tools, or create rules for how data gets used. You become the go-to person when someone has a question about data.

Here are a few ways you can boost your career growth in business intelligence:

• Keep learning new data tools and techniques.
• Take on projects that let you work with different types of data.
• Share your insights with others and help your team grow.
• Stay curious and ask questions about how data can solve business problems.
• Build a strong network with other data professionals.

Tip: The more you know about data, the more valuable you become. Companies reward people who can turn data into smart decisions.

You have the chance to shape your own path. Whether you want to lead a team, become an expert in data, or help companies make better choices, business intelligence gives you the tools to succeed.

You have a world of opportunity in business intelligence jobs. If you want to grow as a data analyst or business analyst, start by building your data skills. Practice working with data every day. Try new data tools like FineBI from FanRuan. Explore data sets, create dashboards, and share your data insights. Update your resume with your best data projects. Connect with others who love data. Stay curious. You can shape your future with data.

Continue Reading About Business Intelligence Jobs

FAQ

What skills do you need for a business intelligence job?

You need to know how to work with data. Learn SQL, Excel, and a BI tool like FineBI. Practice building dashboards. Communication and problem-solving skills help you stand out.

Can you get a BI job without a tech degree?

Yes! Many companies hire people with business, math, or even liberal arts backgrounds. Show your skills with real projects or certifications. Curiosity and a willingness to learn matter most.

How does FineBI help in business intelligence roles?

FineBI lets you connect to data, build dashboards, and share insights—all without coding. You can answer business questions fast and work with your team easily. It makes your job simpler.

Are business intelligence jobs remote-friendly?

Absolutely! Many BI jobs let you work from home or choose a hybrid setup. You just need a good internet connection and the right tools. You can join teams from anywhere.

What industries hire business intelligence professionals?

You can find BI jobs in healthcare, finance, retail, manufacturing, tech, and more. Every industry needs people who can turn data into smart decisions.

How do you start a career in business intelligence?

Start by learning basic data skills. Build a portfolio with sample dashboards or reports. Try a free trial of FineBI. Connect with others in the field and keep practicing.

What is the average salary for a BI analyst?

Most BI analysts earn between $70,000 and $125,000 per year. Your pay depends on your experience, skills, and where you work. Top cities and big companies often pay more.

Do you need to know coding for BI jobs?

Not always. Many BI tools like FineBI use drag-and-drop features. Knowing SQL or Python helps, but you can start with basic data skills and learn more as you go.