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Remote Analytics Jobs in Alabama (NOW HIRING)

QVC

This role is remote ; job seekers must reside in one of the following states to be considered ... Explain analytics concepts to teams with varying levels of eCommerce and data fluency * Provide any ...

QVC

This role is remote ; job seekers must reside in one of the following states to be considered ... Explain advanced analytics to business partners with varying levels of eCommerce and analytical ...

CSAA

$42.75 - $58.75/hr

Ability to run queries across platforms and provide analytics on the results * Strong collaboration ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... analytics and strategic problem solving to deliver insights, influence decisions, and improve ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Harris

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Analyze, recommend, and configure tools to be used for quality assurance * Writing and maintaining ...

Harris

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Analyze, recommend, and configure tools to be used for quality assurance * Writing and maintaining ...

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All JobsAnalytics JobsRemote Analytics JobsRemote Analytics Jobs in Alabama

Remote Analytics information

See Alabama salary details

$54.8K

$112.3K

$158.6K

How much do remote analytics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote analytics in Alabama is $112,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in Alabama?

The most popular types of Analytics jobs in Alabama are:

What are popular job titles related to Remote Analytics jobs in Alabama?

For Remote Analytics jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Remote Analytics jobs in Alabama look for?

The top searched job categories for Remote Analytics jobs in Alabama are:

Remote Analytics jobs near you
Infographic showing various Remote Analytics job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $112,255 per year, or $54 per hour.

Senior Manager, Business Intelligence Analytics (Remote - US)

Madison, AL • On-site, Remote

Hexagon AB
501 - 1,000 employees
Learn more about Hexagon ABexternal

Full-time

Posted 6 days ago

Job description

Senior Manager, Business Intelligence Analytics (Remote - US)
Job Location (Short): Madison, Alabama-USA
Workplace Type: Remote
Req Id: 3320
Responsibilities
Octave is seeking a strategic, hands-on Senior Analytics Manager to lead our analytics function and help turn data into better business decisions. This is a player-coach role for a leader who can develop a high-performing team, establish scalable reporting and governance practices, and personally deliver the analyses and narratives that senior leaders use to act.
You will partner across the organization to define trusted metrics, improve self-service insight, prioritize a growing analytics portfolio, and expand our use of advanced analytics and AI-enabled capabilities.
What You'll Do
  • Lead, coach, and develop a team of analytics and BI professionals; set priorities, establish clear expectations, and build team capability.
  • Partner with executives and business leaders to translate strategic questions into actionable analysis, KPIs, dashboards, and recommendations.
  • Personally lead complex, high-visibility analyses and present clear, decision-ready findings to senior executive stakeholders.
  • Build and evolve governed reporting practices, including metric definitions, data quality standards, semantic models, documentation, dashboard standards, and certification.
  • Balance self-service analytics with appropriate controls for data quality, security, consistency, and access.
  • Guide appropriate use of statistical methods, experimentation, forecasting, segmentation, regression, and machine-learning techniques.
  • Work closely with data engineering, data science, IT, security, and business teams to improve analytics products and data reliability.
  • Use AI tools responsibly to improve analytical, coding, documentation, research, and communication workflows, validating outputs and protecting sensitive information.
  • Identify and deliver AI-enabled analytics solutions, such as conversational BI, natural-language data exploration, intelligent alerting, anomaly detection, forecasting, workflow automation, or insight-generation capabilities.

Education / Qualifications
What You'll Bring
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, Economics, Mathematics, Engineering, or related); Master's degree preferred.
  • 7+ years of experience in analytics, business intelligence, decision science, data analysis, or a related field.
  • 2+ years of people leadership experience, including coaching, hiring, performance management, and team prioritization.
  • Advanced SQL skills and experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Synapse).
  • Experience with enterprise BI tools such as Power BI, Tableau, ThoughtSpot, Salesforce Einstein, or similar.
  • Experience building governed reporting environments, including KPIs, semantic models, documentation, lineage, security, and self-service analytics.
  • Strong knowledge of statistical analysis, experimentation, forecasting, regression, and analytical problem solving.
  • Experience applying AI/ML concepts and AI-enabled tools, including model evaluation, prompt design, responsible AI, data privacy, and delivering AI-driven analytics or business solutions.
  • Strong communication skills with the ability to translate complex technical concepts into actionable business insights.
  • Collaborative leadership style with strong business judgment and commitment to data quality, governance, and ethical AI practices.

Preferred Qualifications
  • Experience building or scaling an enterprise analytics, BI, or decision science organization.
  • Familiarity with analytics engineering and data orchestration tools such as dbt, Airflow, Fivetran, or Matillion.
  • Hands-on experience with AI/ML solutions, including LLM applications, RAG, predictive modeling, recommendation engines, or workflow automation.
  • Experience with enterprise AI platforms such as Azure AI, Snowflake Cortex AI, Google Vertex AI, or OpenAI-compatible services.

#LI-DP1 #LI-Remote
About Octave
Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.
Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.
Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.
Why work for Octave?
All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.
Everyone is welcome
At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.
Recruitment Fraud Alert
Octave posts all official job opportunities on either https://careers.octave.com/ or https://www.octave.com/about/careers and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at careers@octave.com

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