New York State

Data Jobs in New York State

2 jobs found

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1mo ago

Data Analyst

CredX New York

New York

1mo ago Closed

$85k - $93k/yr Full time A/B Testing Analyst Analytical Skills

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

CredX is seeking a Data Analyst to support data collection, cleaning, validation, and analysis across large, multi-source datasets. The role focuses on turning business questions into measurable, data-driven insights through dashboards, reporting automation, and KPI monitoring.

Key Responsibilities

Collect, clean, validate, and analyze large datasets from multiple internal and external data sources.
Develop and maintain dashboards, reports, and visualizations to support operational and strategic decision-making.
Assess business performance, customer behavior, operational metrics, and product performance to surface trends, opportunities, and risks.
Collaborate with business stakeholders, product managers, engineering, finance, marketing, and operations to translate business questions into data-driven insights.
Conduct ad hoc analyses for business initiatives and executive decision-making.
Create recurring reports and automate reporting processes to improve operational efficiency.
Write SQL queries to extract, transform, and analyze structured data from relational databases.
Validate data accuracy, identify anomalies, and ensure consistency across reporting systems.
Define, monitor, and maintain key performance indicators (KPIs) and business metrics.
Build interactive dashboards using business intelligence tools to communicate insights clearly.
Perform exploratory data analysis to identify patterns, correlations, and business opportunities.
Support A/B testing, experimentation, and performance measurement initiatives.
Partner with data engineering teams to improve data pipelines, data models, and reporting infrastructure.
Document business definitions, reporting logic, metric calculations, and analytical methodologies.
Present findings and recommendations to technical and non-technical stakeholders using clear visualizations and presentations.
Identify opportunities to improve business processes using data and analytics.
Ensure compliance with organizational data governance, security, and privacy standards.
Stay current with emerging analytics tools, technologies, and industry best practices.

Required Qualifications

Bachelor’s or Master’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Engineering, or a related quantitative field.
3–5 years of professional experience as a data analyst or in a similar analytical role.
Advanced proficiency in SQL, including joins, window functions, common table expressions (CTEs), aggregations, and query optimization.
Strong experience with Microsoft Excel, including advanced formulas, PivotTables, Power Query, and data analysis techniques.
Hands-on experience with business intelligence and data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
Experience analyzing large datasets and transforming raw data into actionable business insights.
Strong understanding of data modeling, relational databases, and data warehousing concepts.
Experience writing complex analytical queries and developing automated reporting solutions.
Proficiency in Python or R for data analysis, automation, and statistical analysis.
Experience with data cleaning, validation, profiling, and quality assurance.
Strong understanding of descriptive statistics, hypothesis testing, trend analysis, and business performance measurement.
Ability to interpret business requirements and translate them into analytical solutions.
Experience creating executive dashboards, scorecards, and KPI reporting.
Strong analytical thinking and problem-solving abilities.
Excellent communication and presentation skills with the ability to explain technical findings to non-technical audiences.
Experience working in Agile or cross-functional business environments.
Ability to manage multiple priorities while meeting project deadlines.

Preferred Qualifications

Master’s degree in business analytics, data science, statistics, computer science, or a related discipline.
Experience with cloud data platforms such as Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, or Databricks.
Experience working with ETL/ELT processes and data integration tools.
Familiarity with dbt, Apache Airflow, or similar data transformation and orchestration tools.
Experience using cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Knowledge of statistical modeling, predictive analytics, and forecasting techniques.
Experience supporting A/B testing, experimentation frameworks, and causal analysis.
Familiarity with data governance, metadata management, and data quality frameworks.
Experience working with APIs and integrating external data sources.
Knowledge of version control systems such as Git.
Experience with scripting and automation using Python, Pandas, NumPy, or Jupyter Notebooks.
Familiarity with machine learning concepts and model evaluation techniques.
Experience working in SaaS, fintech, healthcare, e-commerce, enterprise software, or high-growth technology organizations.
Professional certifications in Tableau, Microsoft Power BI, Microsoft Azure Data, AWS Analytics, Google Cloud Data Analytics, or equivalent certifications.
Demonstrated ability to influence business decisions through data-driven recommendations.

Technologies

SQL
Microsoft Excel
Tableau
Power BI
Looker
Python
R
Power Query
PivotTables
A/B testing
CTEs
Window functions

Compensation and Location

Location: New York State (onsite)

Salary: USD 84,926 - 93,346 per yearly

Work setting: In person

Benefits

401(k)
Dental insurance
Health insurance
Visa sponsorship

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3mo ago

Health Data Analyst - AI Trainer

DataAnnotation New York, NY 🇺🇸 Remote

New York, NY

3mo ago Closed

$40 - $60/hr Full time Ai Trainer Analyst Analytics

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

DataAnnotation is seeking a Health Data Analyst - AI Trainer for a remote position based in New York State. The role focuses on evaluating AI-generated quantitative outputs and crafting problems to train AI systems, with emphasis on real-world validity and strong quantitative reasoning.

Responsibilities

Assess AI-generated quantitative outputs, including statistical analyses, predictive models, scientific reasoning, and data-driven insights, for accuracy and real-world relevance.
Create and solve quantitative challenges 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.
Deliver actionable feedback that informs the development of next generation AI models designed 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 is 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) with strong writing skills.
A bachelor’s degree in a quantitative field is preferred; a master’s or PhD is a plus.
Relevant credentials are a plus (eg 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 any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Data Jobs in New York State

Data Analyst

Health Data Analyst - AI Trainer

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