Analyst

Analyst Engineer Jobs

40 jobs found

Today

Data Analyst & AI Engineering

Metrocast Cable Systems Quincy, MA

Quincy, MA

Today

$30 - $33/hr Full time Python Analyst Analytics

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Job Description

Hybrid Data Analyst and AI Engineering role at Metrocast Cable Systems in Quincy, MA, offering USD 30-33 per hour.

Responsibilities

Aggregate and sanitize large, heterogeneous datasets from multiple sources to maintain data quality and integrity, ensuring data is consistently clean and ready for analysis.
Conduct thorough data analyses to identify trends, patterns, and correlations that inform strategic decisions.
Create and maintain dashboards and reports using data visualization tools to communicate findings clearly to stakeholders.
Support the design, development, and deployment of machine learning models and AI algorithms.
Assist with training, validation, and evaluation of AI systems to ensure they meet performance benchmarks.
Collaborate with engineering and product teams to embed AI powered solutions into the company's services.
Produce comprehensive reports and presentations that clearly communicate analytical results and recommendations.
Stay current with evolving industry trends and advancements in data analytics and artificial intelligence.

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Proven experience in a data analysis role with a solid grounding in statistical principles.
Proficiency in SQL for querying and shaping data.
Strong programming skills in Python or R, including experience with data analysis libraries such as Pandas and NumPy.
Familiarity with machine learning concepts and core AI frameworks like Scikit-learn, TensorFlow, or PyTorch.
Experience using data visualization tools such as Tableau or Power BI.
Excellent analytical and problem-solving abilities with keen attention to detail.
Strong written and verbal communication skills, able to explain complex technical concepts to non-technical audiences.
Proactive, collaborative mindset with a demonstrated passion for data-driven innovation.

Technologies

SQL
Python
R
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI

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Today

Analytics Engineer - AI Trainer

DataAnnotation Lincoln, NE 🇺🇸 Remote

Lincoln, NE

Today

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with a flexible schedule and meaningful impact on AI systems that reason about data. You will assess AI generated quantitative work for technical accuracy, design problems to train and benchmark models, and document your analyses to advance quantitative reasoning in AI. This position is remote and open to residents in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.

Benefits

Fully remote work from anywhere within the United States, Canada, UK, Ireland, Australia, or New Zealand.
Flexible schedule that lets you choose projects and timing.
Competitive hourly pay, with opportunities for higher-paying projects based on performance, up to $60 per hour.
Direct impact on the development of AI systems designed for data analysis and quantitative reasoning.
Payment processed via PayPal.

Responsibilities

Assess AI generated quantitative work for technical accuracy and real world validity, including statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Design and solve quantitative problems used to train and benchmark AI systems across forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well documented analytical code.
Provide feedback that shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing, regression, time series forecasting).
Fluency in English with strong writing skills (native or bilingual).
Bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
Relevant credentials are advantageous (for example Kaggle rankings, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is processed via PayPal. This role is available to applicants in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.

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1d ago

Analytics Engineer - AI Trainer

DataAnnotation Winter Park, FL 🇺🇸 Remote

Winter Park, FL

1d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a remote-friendly team focused on improving AI-driven quantitative reasoning. This role centers on evaluating AI-generated analyses for accuracy, designing problems to train and benchmark AI systems, and delivering clear, well-documented feedback to steer the next generation of quantitative AI models. The position offers a flexible schedule and remote work options, with a base connection to Winter Park, Florida.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to 60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Compensation

Hourly rate: USD 50 - 100

Note

Payment is made via PayPal. We will never ask for money from you.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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5d ago

Analytics Engineer - AI Trainer

DataAnnotation Bedford, VA 🇺🇸 Remote

Bedford, VA

5d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation seeks an Analytics Engineer - AI Trainer for a remote role based in Bedford, VA, offering a flexible schedule. The position involves evaluating AI-generated quantitative work, designing problems for training and benchmarking AI systems, and providing feedback to steer models' quantitative reasoning. Compensation is hourly, USD 50 to 100.

Responsibilities

Evaluate AI-generated quantitative work across domains such as statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, assessing technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference, with clear performance criteria.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you. This job is only available to individuals in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

5d ago

Analytics Engineer - AI Trainer

DataAnnotation Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

5d ago

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

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Job Description

DataAnnotation is offering a remote contract role for an Analytics Engineer - AI Trainer. You will help train AI models by evaluating quantitative outputs, crafting training problems, and providing actionable feedback to improve AI systems. The arrangement emphasizes flexibility, autonomy, and the chance to influence data-driven AI reasoning from anywhere.

Benefits

Fully remote: work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and set your own hours, using your own computer from home.
Competitive pay: hourly rates range from $50 to $100, with potential bonus rates on selected projects.
Impact: contribute to the development of AI systems designed for quantitative reasoning and analytics.
Payment is processed via PayPal. Eligible locations are the US, Canada, UK, Ireland, Australia, and New Zealand.

Responsibilities

Evaluate AI-generated quantitative outputs for technical accuracy and real-world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs the next generation of AI models built for quantitative reasoning.

Requirements

3+ years in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort in writing and reviewing analytical code end-to-end.
Hands-on experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills.
Bachelor’s degree in a quantitative field is preferred; advanced degrees (Master’s or PhD) are a plus.
Relevant credentials are advantageous (eg, Kaggle rankings, AWS/GCP ML certifications, or equivalent demonstrated expertise).

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5d ago

Analytics Engineer - AI Trainer

DataAnnotation Austin, TX 🇺🇸 Remote

Austin, TX

5d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

Apply Now

Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a remote-first team. This role centers on evaluating AI-generated quantitative outputs for technical accuracy and real-world validity, while shaping AI model development through problem design and actionable feedback. The position offers flexible scheduling and the opportunity to influence how AI systems reason about data and analytics from anywhere in eligible regions.

Details

Location: Austin, TX (remote)
Salary: USD 50 - 100 per hourly
Minimum experience: 2 years

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

2 years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Notes

Payment is made via PayPal. We will never ask for any money from you.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

5d ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

5d ago

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA in Rockville, MD is seeking a hybrid BI and Analytics Analyst/Data Engineer to lead the design, development, and management of data and analytics solutions. The role spans end-to-end analytics from SQL Server data warehouse design to self-service Power BI reporting, partnering with IT business teams and data engineers to convert raw data into trustworthy, actionable insights. This position emphasizes data quality, governance, and enabling stakeholders to make informed care decisions.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that reveal opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Help ensure agency data repositories deliver consistent, reusable data by working with key staff to establish, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-driven development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support a data-literate culture within the agency.
Leverage technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregates.
Develop and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Create and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data structures, and establish the agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related components.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from sources to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement, and manage a master data management solution for client and employee subjects, collaborating with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree is required; a Master’s degree is highly preferred.
5-7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics is welcome.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts; Kimball methodology is a plus.
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills, with the ability to explain data concepts clearly to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI), SQL, and experience with EMR systems (hospice, home care, and/or mental health) is desirable.