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Technical Data Analyst Jobs (NOW HIRING)

Xforia, Inc.

Data Analytics & Technical Analyst"

... Technical Analyst Location: Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Develop reports, dashboards, and visualizations that communicate technical findings to engineering ...

Busek

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Develop reports, dashboards, and visualizations that communicate technical findings to engineering ...

Imh

Data Analyst-Technical-Staff

Center, TX · On-site

$39.97 - $62.91/hr

As a Data Analyst-Technical-Staff, you will be part of a team that contributes to strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders ...

Lorven Technologies

Data Analyst 3

Mechanicsville, VA · On-site

Role: VDOT - Data Analyst 3 Job Id - (799862) Location: 9120 Lockwood Blvd - Hybrid Interview ... Collaborate with the technical cloud team, I&O team and finance stakeholders to align cost models ...

Hack The Box

Data Analyst

The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind ... Technical data integrity - Maintain rigorous data hygiene by auditing the flow of training ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Amivero LLC

Data and Technical Analyst

Dallas, TX · On-site

The ability to perform data collection, research and analysis on complex and varying datasets ... to technical and nontechnical audiences at various hierarchical levels. * Working knowledge of ...

Amivero LLC

Data and Technical Analyst

Addison, TX

The ability to perform data collection, research and analysis on complex and varying datasets ... to technical and nontechnical audiences at various hierarchical levels. * Working knowledge of ...

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How much do technical data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for technical data analyst in the United States is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $58.89 per hour, depending on experience, location, and employer.

What is a Technical Data Analyst?

A Technical Data Analyst is a professional who collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use advanced technical skills, such as programming, database management, and data visualization, to identify trends, patterns, and insights. Technical Data Analysts often work closely with IT departments and business stakeholders to translate data into actionable strategies. Their role typically involves writing queries, creating reports, and sometimes developing automated tools to streamline data analysis. This position requires strong analytical thinking, attention to detail, and proficiency with data analysis tools and programming languages.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on tasks that require critical thinking, domain expertise, and communication skills.

What does a technical data analyst do?

A technical data analyst collects, processes, and analyzes large datasets to identify trends and support decision-making. They often use tools like SQL, Python, or Excel and have strong analytical and technical skills to interpret complex data and create reports or visualizations.

Is 40 too late for data science?

For a Technical Data Analyst, starting a career at 40 is feasible, especially with relevant skills in data analysis tools like SQL, Python, or R. Many professionals transition into data roles later in life, and experience combined with continuous learning can lead to success in the field.

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

To thrive as a Technical Data Analyst, you need strong analytical skills, proficiency in mathematics or statistics, and a relevant degree such as computer science, statistics, or information systems. Familiarity with data analytics tools like SQL, Python, R, Excel, and visualization platforms such as Tableau or Power BI is typically required, along with knowledge of database systems. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence, enabling organizations to make informed, data-driven decisions.

What is the difference between Technical Data Analyst vs Data Analyst?

AspectTechnical Data AnalystData Analyst
Required SkillsAdvanced SQL, programming (Python, R), data modelingExcel, basic SQL, data visualization
Work EnvironmentTechnical teams, IT departments, data engineeringBusiness units, marketing, finance
CertificationsSQL, Python, data analysis certificationsExcel, Tableau, general data analysis certifications

The Technical Data Analyst typically works with more complex data systems, programming, and technical tools, often collaborating with IT and engineering teams. In contrast, the Data Analyst focuses on interpreting data for business insights using more accessible tools like Excel and visualization software. Both roles are essential in data-driven organizations but differ in technical depth and focus.

What jobs pay 200,000 a year in the USA?

For a Technical Data Analyst, reaching a $200,000 annual salary typically requires extensive experience, advanced skills in data management and analytics tools, and often a senior or specialized role. High-paying positions may also involve leadership responsibilities, working in industries like finance, technology, or consulting, and may require certifications such as CFA or PMP. Salary levels vary based on location, company size, and individual expertise.

What are some of the main challenges Technical Data Analysts face when working with large datasets, and how are these typically addressed within a team environment?

Technical Data Analysts often encounter challenges such as data quality issues, integrating data from multiple sources, and managing large volumes of information efficiently. To address these, teams typically use standardized data cleaning processes, leverage advanced tools for data integration, and adopt scalable storage solutions. Collaboration with IT, data engineers, and business stakeholders is crucial to ensure data accuracy, resolve discrepancies, and align analytical outputs with organizational goals.
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Technical Data Analyst jobs near you
Infographic showing various Technical Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $108,362 per year, or $52.1 per hour.
Technical Data Analyst with MDM

Technical Data Analyst with MDM

TiltEdge Solutions LLC

Jersey City, NJ • On-site

$75/hr

Contractor

Posted 10 days ago

Job description

Job Title: Technical Data Analyst with MDM
 
Location:  Jersey City, NJ(Hybrid). 
 
Duration: 6-12 Months
 
Rate: DOE
 
 
Job Description:
 
We are seeking an experienced Technical Data Analyst with strong expertise in Master Data Management (MDM), financial data domains, and enterprise data platforms within the Financial Services industry. This role will function as a key member of the Data organization supporting enterprise data initiatives focused on Security Master, Account, Benchmark, Client, and other critical master and reference data domains.
The ideal candidate will combine strong analytical and data domain expertise with hands-on experience supporting MDM implementations, data integration, data mapping, and enterprise data warehouse initiatives. The role requires deep familiarity with financial market data, fund accounting platforms, wealth management data environments, and modern cloud-based data platforms.
This position will serve as a Subject Matter Expert (SME) for master and reference data management, data sourcing, data quality, and integration of legacy financial data platforms into modern enterprise data ecosystems.
Key Responsibilities:
•           Act as a Subject Matter Expert (SME) for Master Data Management (MDM) initiatives across Security Master, Account, Client, Benchmark, and related financial data domains.
•           Analyze, profile, and document enterprise data flows, business rules, and data lineage across financial systems and data platforms.
•           Contribute to the development and execution of the organization’s data strategy, aligning data initiatives with business goals.
•           Support enterprise MDM implementation and modernization initiatives involving legacy and cloud-native data platforms.
•           Support the implementation of scalable data architecture and frameworks to enable advanced analytics and reporting.
•           Perform detailed data analysis, data mapping, source-to-target mapping, and reconciliation activities across multiple financial data sources.
•           Collaborate with data architects, data engineers, governance teams, and business stakeholders to define and manage enterprise master and reference data standards.
•           Support integration of MDM platforms and legacy financial systems into enterprise data lake, warehouse, and cloud data ecosystems.
•           Develop strong familiarity with enterprise financial datasets and serve as a trusted data SME for downstream analytics, operational, and reporting teams.
•           Work with market data providers, internal operational systems, accounting platforms, and external reference data feeds to ensure data consistency and accuracy.
•           Support data quality initiatives including validation, issue analysis, exception management, and governance processes.
•           Partner with engineering and platform teams supporting cloud-based data platforms and modern data architecture initiatives.
•           Assist in defining data governance standards, metadata management, lineage tracking, and operational data controls.
•           Support enterprise reporting, analytics, risk, compliance, and operational data initiatives.
Required Skills & Experience:
•           5–6 years of experience in data analysis, data engineering, or a related technical role.
•           Strong experience in Master Data Management (MDM) and enterprise data analysis.
•           Drive initiatives around data standardization, metadata management, and data cataloging.
•           Expertise with financial master and reference data domains including Security Master, Account, Benchmark, Client, and related financial datasets.
•           Experience with MDM platforms such as GoldenSource or similar enterprise MDM solutions.
•           Strong understanding of financial services data ecosystems and operational data flows.
•           Experience with fund accounting, wealth management, custody, investment operations, or related financial platforms.
•           Understanding data modeling, data warehousing, and data integration concepts.
•           Familiarity with market data providers, reference data feeds, and financial instrument data structures.
•           Experience performing data mapping, source-to-target analysis, reconciliation, and data lineage documentation.
•           Strong SQL and data analysis skills with the ability to analyze large and complex datasets.
•           Understanding of enterprise data warehouse, data lake, and modern cloud data platform architectures.
•           Familiarity with cloud-based data platforms and technologies including Databricks, Spark, and distributed data environments.
•           Experience collaborating with data engineering, architecture, governance, and analytics teams.
•           Knowledge of metadata management, data quality, and governance processes.
•           Experience supporting data integration initiatives across legacy and modern enterprise platforms.
•           Understanding of financial industry regulatory, operational, and reporting data requirements within U.S. financial institutions.
Preferred Qualifications:
•           Financial Services, Asset Management, Wealth Management, or Banking industry experience strongly preferred.
•           Exposure to enterprise data modernization and cloud migration initiatives.
•           Familiarity with Azure, AWS, or other cloud-native data ecosystems.
•           Experience supporting analytics, reporting, and enterprise data consumption platforms.
•           Strong communication, documentation, and stakeholder management skills.
•           Ability to function as a trusted SME within enterprise data programs and cross-functional initiatives.
Education:
Bachelor’s degree in Computer Science, Information Systems, Finance, Engineering, Mathematics, or related field.