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Data Management Analytics Specialist Jobs (NOW HIRING)

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Collaborates with internal and external stakeholders to manage data logistics, including data ...

Overview The Data Management Specialist (DMS) is responsible for supporting a Missile Defense ... Familiarity with common data capabilities and platforms such as SQL Server, SQL Analysis Services ...

Clinical Analytics Specialist - MD Are you a licensed MD looking to help drive innovation within ... as data management, article submission, and citation tracking. They also provide metrics and ...

... tag management platform, or provide implementation support to development/IT teams; QA ... Troubleshoot and resolve analytics data collection & reporting issues/inconsistencies by ...

Data Management Analyst

Minneapolis, MN ยท On-site

$49 - $53/hr

Data Analytics * Project Management * Equivalent experience may include consulting, military service, professional training, or relevant industry experience. * Experience analyzing complex business ...

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Data Management Analytics Specialist information

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$33K

$81.5K

$140K

How much do data management analytics specialist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data management 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 management analytics specialist?

Data Management Analytics Specialists are professionals who manage, organize, and analyze data to support business decision-making. They are responsible for ensuring data quality, integrity, and accessibility, often working with large datasets and various data management tools. Their work may include designing data storage solutions, creating reports, and identifying trends or insights from data. These specialists play a crucial role in helping organizations leverage data for improved efficiency, strategy, and competitive advantage.

What are some typical challenges a data management analytics specialist faces in integrating data from multiple sources?

A common challenge for Data Management Analytics Specialists is ensuring data consistency and quality when integrating information from various sources such as databases, cloud platforms, and third-party APIs. Discrepancies in data formats, missing values, and differing data governance standards can complicate the integration process. Specialists often collaborate closely with IT teams, data engineers, and business stakeholders to establish standardized data pipelines, implement validation checks, and maintain comprehensive documentation. Successfully addressing these challenges enhances the reliability of analytics and supports better business decision-making.

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

To thrive as a Data Management Analytics Specialist, you need strong analytical skills, a solid understanding of data structures, and often a degree in computer science, information systems, or a related field. Proficiency in tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and knowledge of data governance frameworks is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for translating complex data into actionable insights. These capabilities ensure data integrity, support strategic decision-making, and drive organizational growth through informed analysis.

What cities are hiring for Data Management Analytics Specialist jobs?

Cities with the most Data Management Analytics Specialist job openings:

What states have the most Data Management Analytics Specialist jobs?

States with the most job openings for Data Management Analytics Specialist jobs include:

What are popular job titles related to Data Management Analytics Specialist jobs?

For Data Management Analytics Specialist jobs, the most frequently searched job titles are:

Infographic showing various Data Management Analytics Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Senior Data & Analytics Specialist

Westlake Village, CA โ€ข Hybrid

HCVT
Accounting Servicesย โ€ขย 501 - 1,000 employees

Full-time

Posted 24 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.
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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.ย ย 
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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.
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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.ย 
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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 theย Benefitsย sectionย 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.
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Connect with us:ย 
LinkedIn,ย Instagram,ย Facebook,ย HCVT Website
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#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.ย ย 
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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