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Remote Bi Jobs in Florence, AL (NOW HIRING)

Remote Bi information

See Florence, AL salary details

$32

$54

$75

How much do remote bi jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote bi in Florence, AL is $54.87, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $60.43 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

High-paying jobs that can reach $300,000 annually include roles such as senior software engineers, IT directors, investment bankers, corporate lawyers, and specialized medical professionals like surgeons. These positions typically require advanced skills, extensive experience, and often involve leadership or specialized expertise in their fields.

How to make $1000 a week remote?

Remote bi roles often pay between $20 and $50 per hour, so earning $1000 weekly typically requires working 20 to 50 hours, depending on the pay rate. To reach this goal, focus on developing relevant skills, gaining experience, and applying for high-paying positions such as customer support, sales, or technical support that offer flexible schedules and performance-based incentives.

How can I make $100,000 a year working from home?

Remote business intelligence (BI) professionals can earn $100,000 or more annually by gaining advanced skills in data analysis, SQL, and visualization tools like Tableau or Power BI, along with relevant certifications. Building experience through project work, freelancing, or consulting can also increase earning potential in this field.

What are the key skills and qualifications needed to thrive as a Remote Business Intelligence (BI) Analyst, and why are they important?

To thrive as a Remote Business Intelligence (BI) Analyst, you need strong analytical abilities, data visualization expertise, and proficiency in statistics, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with BI tools such as Tableau, Power BI, SQL, and data warehousing systems, as well as certifications like Microsoft Certified: Data Analyst Associate, are often required. Excellent communication, problem-solving, and self-motivation are vital soft skills for remote collaboration and clear reporting of insights. These skills and qualities are crucial for translating complex data into actionable business strategies, especially in a remote environment where independent work and clear virtual communication are essential.

How does working as a remote Business Intelligence (BI) professional impact collaboration with cross-functional teams?

As a remote BI professional, you'll frequently collaborate with stakeholders from various departments such as IT, marketing, finance, and operations. Effective communication is key since much of the collaboration happens through virtual meetings, shared dashboards, and project management tools. While remote work offers flexibility, it also requires proactive outreach and clear documentation to ensure alignment on data requirements and deliverables. Many teams use platforms like Slack, Microsoft Teams, or Jira to facilitate real-time updates and feedback, ensuring smooth project execution despite physical distance.

Is BI in high demand?

Business Intelligence (BI) roles are in high demand across many industries as companies seek to leverage data for decision-making. Skills in data analysis, visualization tools like Tableau or Power BI, and knowledge of databases increase employability in this field.

What is the difference between Remote Bi vs Remote Data Analyst?

AspectRemote BiRemote Data Analyst
Required CredentialsBusiness Intelligence certifications, SQL, data visualization skillsStatistics, SQL, data analysis tools, possibly certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentCollaborates with business teams, uses BI tools like Tableau, Power BIAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, marketing for strategic insightsCommon across finance, healthcare, retail for data-driven decisions

Remote Bi and Remote Data Analyst roles share skills like SQL and data visualization but differ mainly in focus. Remote Bi emphasizes business insights and strategic reporting, while Remote Data Analysts focus on data analysis and reporting. Both roles are vital in data-driven industries and often overlap in skills and tools.

What are remote BI jobs?

Remote BI (Business Intelligence) jobs involve analyzing data, creating reports, and providing insights to help organizations make informed decisions, all while working from a location outside of a traditional office. These roles typically require expertise in data visualization tools, SQL, and data modeling. Remote BI professionals collaborate with teams via digital communication tools and often work with cloud-based data platforms to access and analyze company data.
What job categories do people searching Remote Bi jobs in Florence, AL look for? The top searched job categories for Remote Bi jobs in Florence, AL are:
What cities near Florence, AL are hiring for Remote Bi jobs? Cities near Florence, AL with the most Remote Bi job openings:
Infographic showing various Remote Bi job openings in Florence, AL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $114,136 per year, or $54.9 per hour.

Automotive Dealership Data Analyst - Full-Time, On-Site

LL Shoals

Florence, AL โ€ข On-site, Remote

Full-time

Posted 24 days ago


Job description

Key Responsibilities Data Extraction & Reporting
  • Extract and compile data from dealership systems, OEM portals, CRM platforms, and third-party sources.
  • Build and maintain recurring reports for Sales, Service, Finance, and Operations teams across all ten dealership locations.
  • Respond to ad hoc reporting requests from department leaders with timely, accurate data.
  • This is a full-time on-site role at our Florence, AL corporate office. Applications from candidates outside the Shoals area or seeking remote/hybrid work will not be considered.
Data Quality & Analysis
  • Clean, validate, and reconcile data from multiple sources to ensure accuracy.
  • Partner with department managers to identify trends, inconsistencies, and opportunities within dealership data.
  • Document reporting processes, data sources, and reporting logic for consistency and continuity.
Dashboards & Automation
  • Create dashboards and visualizations using Microsoft Excel and Power BI.
  • Automate manual reporting processes using appropriate tools and scripting where applicable.
  • Collaborate with the IT team to improve reporting efficiency and data accessibility.
Required Qualifications
  • 2+ years of experience in reporting, data analysis, or a related field.
  • Ability to work full-time on-site at our Florence, AL corporate office.
  • Current residence in or near the Shoals area with the ability to commute daily.
  • Working knowledge of SQL, HTML, and Python.
  • Experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, or Gemini to improve productivity and reporting workflows.
  • Advanced Microsoft Excel skills, including pivot tables, lookups, formulas, and data manipulation.
  • Experience working with multiple data sources and web-based business systems.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
  • Experience in automotive dealership operations.
  • Familiarity with dealership systems such as CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, Elead, Tekion, or vAuto.
  • Experience with Power Query, APIs, scripting, or other data automation tools.
  • Understanding of dealership KPIs, including sales, inventory, fixed operations, and service performance metrics.
  • Microsoft Power BI Data Analyst Associate (PL-300)
  • Microsoft Excel Expert (MO-201)
  • SQL Certification
  • Google Data Analytics Professional Certificate