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Remote Quantitative Data Analyst Jobs in Tennessee

Sr Data Analyst, Marketing

Memphis, TN · Remote

$94K - $122K/yr

Bachelor's degree in Marketing Analytics, Data Analysis or a quantitative discipline, or similar ... Remote Why Choose Us? A career with the Rentokil family of companies can be a professional ...

Remote-USA Revecoreis embarking on re-architecting and modernizing its core platform. The Data ... Analyze data toidentifytrends, anomalies, and root causes, and drive improvements to systems and ...

This role can be based out of any of our US or European office locations or remote. How You'll Create * Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or ...

Medicaid Eligibility SME

Nashville, TN · Remote

$72K - $170K/yr

Excels at using quantitative data to drive recommendations and decisions Where required by law, NTT ... The starting pay range for this remote role is $72,832 - $170,700. This range reflects the minimum ...

Medicaid Eligibility SME

Nashville, TN · Remote

$72K - $170K/yr

Excels at using quantitative data to drive recommendations and decisions Where required by law, NTT ... The starting pay range for this remote role is $72,832 - $170,700. This range reflects the minimum ...

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Remote Quantitative Data Analyst information

What are some typical challenges faced by Remote Quantitative Data Analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a Remote Quantitative Data Analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Data Analyst, and why are they important?

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

What is the difference between Remote Quantitative Data Analyst vs Remote Data Scientist?

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

What are the most commonly searched types of Quantitative Data Analyst jobs in Tennessee? The most popular types of Quantitative Data Analyst jobs in Tennessee are:
Enterprise Data Analyst

Enterprise Data Analyst

Husch Blackwell Llp

Nashville, TN • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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