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Data Analytics Specialist Jobs (NOW HIRING)

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues. * Build or configure reports and analytical solutions to generate ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

City of New York

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

Research and provide additional data and analysis. -Assist other business units with special projects as needed. Additional Information: In compliance with federal law, all persons hired will be ...

HCVT

Senior Data & Analytics Specialist

Phoenix, AZ · Hybrid

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site +1

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

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Data Analytics Specialist information

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$33K

$81.5K

$140K

How much do data analytics specialist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a data analytics specialist?

A Data Analytics Specialist is a professional who collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical tools, data visualization software, and programming languages to interpret data trends and patterns. Their insights support business strategies, optimize operations, and identify opportunities for growth. Typically, they work closely with other departments to translate complex data findings into actionable recommendations.

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

To thrive as a Data Analytics Specialist, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or data science. Familiarity with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is highly beneficial. Excellent problem-solving, critical thinking, and communication skills help in interpreting data insights and conveying findings to stakeholders. These abilities are essential to transform complex data into actionable business strategies and drive informed decision-making.

How does a data analytics specialist typically collaborate with other departments within an organization?

Data Analytics Specialists work closely with various departments such as marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often participate in cross-functional meetings to discuss project objectives, gather requirements, and present findings in a clear, non-technical manner. This collaboration ensures that data-driven strategies are aligned with business goals and helps foster a culture of informed decision-making across the organization.

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

AspectData Analytics SpecialistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data AnalystBachelor's degree in similar fields; certifications like Microsoft Certified Data Analyst often preferred
Work EnvironmentCorporate, consulting, or tech companies; focus on data-driven decision makingBusiness, finance, healthcare sectors; analyzing data to support operational decisions
Employer & Industry UsageUsed across industries for specialized data projectsCommonly used in various industries for routine data analysis tasks
Search & Comparison IntentPeople compare to understand role scope and skillsOften compared to clarify responsibilities and career path

While both roles involve analyzing data, a Data Analytics Specialist typically focuses on advanced data projects and technical skills, whereas a Data Analyst handles routine data analysis to support business decisions. The roles overlap but differ in scope and complexity.

Is data analytics a well paid job?

Data analytics specialists typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, but with skills in tools like SQL, Python, and data visualization, salaries tend to increase significantly with experience and certifications. Overall, data analytics is considered a well-paid profession within the tech and business sectors.
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For Data Analytics Specialist jobs, the most frequently searched job titles are:

Data Analytics Specialist jobs near you
Infographic showing various Data Analytics Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Senior Data & Analytics Specialist

HCVT

Westlake Village, CA • Hybrid

Full-time

Posted 20 days ago

Key responsibilities

  • Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines.

  • Develop modern analytics solutions such as dashboards, KPIs, and operational reports using Power BI and Microsoft Fabric.

  • Apply statistical analysis, predictive modeling, and machine learning techniques to solve complex business problems and support strategic decision-making.

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
 
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.  
 
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
 
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession. 
 
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.

About the Role

The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.
We expect that our Senior Data & Analytics Specialist will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.
Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.
This salary range is specific to the state(s) listed and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill set and education; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the range for this position is $123,000 to $150,000.
 
Connect with us: 
LinkedIn, Instagram, Facebook, HCVT Website
 
#LI-GC1
#LI-Hybrid

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.  
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

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