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Remote Data & Analytics Jobs in Huntsville, AL (NOW HIRING)

Data Analyst, Mid

Huntsville, AL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245026 Location: Huntsville,AL,US Share job via: Share Data Analyst, Mid The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

... remote) location. PeopleTec is seeking a Junior Analytics Engineer to support the TAPO H47 ER ... Perform data-quality checks and investigate discrepancies. * Support forecasting, segmentation ...

New

... remote) location. PeopleTec is seeking a Junior Analytics Engineer to support the TAPO H47 ER ... Perform data-quality checks and investigate discrepancies. * Support forecasting, segmentation ...

New

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... analytics. Resumes, in month and year format, must be submitted with application in order to be ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Remote Req Id: 3064 Responsibilities As a RMS Implentation Analyst, you will use your experience to ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

... US VA Remote - Remote, VA 23320 US (Primary) Category Business Program Management and ... Driving enterprise-wide change management efforts Data Analytics & Executive Reporting * Develop ...

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Remote Data Analytics information

See Huntsville, AL salary details

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$53

$93

How much do remote data & analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data & analytics in Huntsville, AL is $53.94, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $61.11 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

Is data & analytics a good career for remote work?

Data & analytics roles are well-suited for remote work because they primarily involve computer-based tasks such as data analysis, visualization, and reporting using tools like SQL, Python, or Tableau. Many companies offer remote positions for data analysts, data scientists, and business intelligence professionals, often requiring strong communication skills and familiarity with cloud-based platforms. Remote work in this field provides flexibility and access to a global job market, making it a viable option for many professionals.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

Is it possible to work remotely as a remote data & analytics?

Remote data and analytics roles are widely available, with many companies offering flexible work arrangements. These jobs often require proficiency in tools like SQL, Python, or Tableau and may involve collaboration via cloud-based platforms, making remote work feasible for qualified candidates.

What are the most commonly searched types of Data & Analytics jobs in Huntsville, AL?

The most popular types of Data & Analytics jobs in Huntsville, AL are:

What are popular job titles related to Remote Data & Analytics jobs in Huntsville, AL?

For Remote Data & Analytics jobs in Huntsville, AL, the most frequently searched job titles are:

What job categories do people searching Remote Data & Analytics jobs in Huntsville, AL look for?

The top searched job categories for Remote Data & Analytics jobs in Huntsville, AL are:

What cities near Huntsville, AL are hiring for Remote Data & Analytics jobs?

Cities near Huntsville, AL with the most Remote Data & Analytics job openings:

Infographic showing various Remote Data & Analytics job openings in Huntsville, AL as of August 2026, with employment types broken down into 80% Full Time, 9% Part Time, 2% Temporary, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,202 per year, or $53.9 per hour.

Program Analytics & Data Visualization Specialist

Guidehouse

Huntsville, AL • On-site, Remote

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

  • Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

  • Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

  • Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

  • Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

  • Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

  • Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

  • Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

  • Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

  • Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

  • Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

  • Present findings, recommendations, and analytical insights to technical and non-technical audiences.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree.

  • FIVE (5) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

  • Experience designing, developing, and administering enterprise Power BI solutions.

  • Experience with:

    • Power BI Desktop

    • Power BI Service

    • DAX optimization and performance tuning

    • Power Query (M)

    • Data modeling and dimensional design

    • Row-level security

    • Deployment pipelines

    • Data gateway configuration

    • Enterprise reporting architecture

  • Experience leading stakeholder engagement sessions and translating business objectives into scalable analytical solutions.

  • Experience implementing data governance processes, reporting standards, and data quality frameworks.

  • Experience mentoring junior analysts and supporting analytical delivery teams.

  • Experience performing advanced statistical analyses and developing executive-level reporting products.


What Would Be Nice To Have:

  • Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

  • Demonstrated understanding of AI-enabled analytics, generative AI, machine learning concepts, or intelligent automation.

  • Experience supporting federal health, public health, healthcare, or government programs.

  • Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

  • Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

  • Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

  • Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

  • Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

  • Familiarity with data integration, API connectivity, and enterprise data architectures.

  • Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

  • Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

  • Experience supporting Agile project delivery environments.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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