Stamford, CT

Data Jobs in Stamford, CT

8 jobs found

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Today

Data Analyst

Serenity Stamford, CT

Stamford, CT

Today

$70k - $95k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Serenity is hiring a Data Analyst for a hybrid remote role in Stamford, CT, with Full-Time or Part-Time options. This position supports a local organization focused on helping people maintain their independence and quality of life. You’ll work with business and operational data to help drive performance tracking, reporting, and data-driven decisions.

In this role, you’ll collect and maintain reliable datasets, turn raw information into clear insights, and create reports and visualizations that support operational and business decision-making. If you enjoy organizing data with care and communicating findings in an understandable way, this is a solid place to grow your reporting and data management skills.

What You’ll Do

Collect, clean, organize, and maintain business and operational data.
Analyze data to identify trends, patterns, and opportunities for improvement.
Create reports, dashboards, and visualizations to communicate key findings.
Use Excel and other analytical tools to organize information and track performance metrics.
Help monitor operational indicators such as scheduling efficiency, service utilization, and business performance when relevant data is available.
Identify inconsistencies in datasets and support improvements to data accuracy.
Collaborate with management to understand business needs and translate questions into actionable insights.
Recommend improvements to reporting processes and administrative workflows.
Maintain organized documentation and handle confidential business information responsibly.

What You Bring

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Economics, or a related field, or equivalent practical experience.
Strong analytical thinking, attention to detail, and problem-solving skills.
Proficiency in Microsoft Excel or Google Sheets.
Basic knowledge of data analysis, data cleaning, and reporting.
Familiarity with SQL, Python, Power BI, Tableau, or similar tools is a plus.
Strong written and verbal communication skills, with the ability to explain analytical findings clearly.
Professionalism and a commitment to protecting confidential information.

Tools You’ll Use

Microsoft Excel
Google Sheets
SQL
Python
Power BI
Tableau

Compensation & Benefits

Salary: $70,000 - $95,000 per year

401(k)
Dental insurance
Health insurance
Paid sick time
Work from home

Application: Pay: $70,000.00 - $95,000.00 per year. Benefits:

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2mo ago

HR Data Analyst & Reporting

Atlas Air Stamford, CT

Stamford, CT

2mo ago Closed

$104k - $141k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Atlas Air is seeking an HR Data Analyst and Reporting professional to transform workforce data into actionable insights, build dashboards and reports, and collaborate with HR, Finance, and leadership to support workforce planning and informed decision-making.

Responsibilities

Analyze HR data from multiple systems, including Dayforce, applicant tracking systems, and engagement tools, to uncover trends and insights
Develop dashboards and reports to support workforce planning, turnover analysis, and organizational effectiveness
Conduct deep-dive analyses on attrition, hiring, performance ratings, and compensation outcomes
Translate complex data into clear, actionable insights for executive leadership
Explore opportunities to leverage AI-enabled tools and automation to improve reporting efficiency, trend analysis, and insight generation
Support development of predictive and forward-looking workforce analytics capabilities
Build and maintain standardized and ad hoc reports for HR and business leaders
Design executive-level dashboards covering headcount, diversity, compensation, and hiring metrics
Ensure data accuracy, consistency, and integrity across reporting outputs
Evaluate emerging analytics and visualization technologies, including AI-assisted reporting capabilities, to enhance decision-making
Support workforce planning efforts with data-driven insights such as headcount forecasting and vacancy trends
Analyze compensation and pay equity trends in partnership with the Compensation team
Support performance management analytics, including rating distributions and calibration insights
Maintain data quality standards and collaborate with HRIS to resolve data integrity issues
Support development of data definitions, governance frameworks, and reporting standards
Ensure compliance with data privacy and security policies
Partner with HR leaders across Compensation, Benefits, HRIS, and Talent Acquisition to understand business needs
Provide data-driven recommendations to improve HR programs and processes
Support executive reporting and presentations with clear data storytelling

Requirements

Bachelor’s degree in Data Analytics, Human Resources, Business, or a related field
3–6 years of experience in HR analytics, data analysis, or a related role
Strong Excel skills, including pivot tables, advanced formulas, and data modeling
Experience with HRIS systems
Experience with data visualization tools such as Tableau or Power BI
Familiarity with SQL or other data querying tools is preferred
Exposure to AI-assisted analytics tools (eg, Microsoft Copilot, ChatGPT, Claude, Power BI AI capabilities) is preferred
Knowledge of predictive analytics concepts and workforce modeling is a plus
Strong analytical and problem-solving abilities
Ability to translate data into actionable business insights and recommendations
High attention to detail and commitment to data accuracy
Excellent communication and stakeholder management skills
Ability to work independently and manage multiple priorities

Technologies

Dayforce
ATS
HRIS
Excel
Tableau
Power BI
SQL
Microsoft Copilot
ChatGPT
Claude

Location

Stamford, CT (hybrid)

Compensation

USD 104,000 - 141,000 per year

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2mo ago

Lead Data Engineer

Deloitte Stamford, CT

Stamford, CT

2mo ago Closed

$135k - $265k/yr Full time Manager Big Data Bigdata

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

Job Description

Lead Data Engineer focusing on Databricks to design, build, and deliver modern data and analytics solutions for clients, leading delivery teams and advising stakeholders.

Responsibilities

Lead the end-to-end design and delivery of Databricks based data and analytics solutions for client projects.
Coordinate project teams and workstreams through requirements gathering, design, development, testing, and deployment phases.
Convert business and technical needs into scalable data pipelines, data models, and platform capabilities.
Provide guidance to client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms.
Oversee solution quality, resolve issues, manage delivery progress, and support project economics and schedule adherence.

Requirements

Bachelor's degree.
At least 6 years of experience delivering data engineering, analytics, or cloud data platform solutions.
3+ years of hands-on experience with Databricks and Apache Spark.
3+ years of Python and SQL experience.
2+ years of leading project teams or workstreams.
Ability to travel on average about 50%, depending on client engagements.
Limited immigration sponsorship may be available.

Technologies

Databricks
Apache Spark
Python
SQL
Delta Lake
Unity Catalog
MLflow
AWS
Microsoft Azure
Google Cloud Platform (GCP)

The Team

This team helps clients modernize data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals work across strategy, architecture, implementation, and deployment to improve how organizations manage and use data. Collaboration with business and technology stakeholders is common to deliver cloud-enabled, enterprise-scale solutions.

Location

Stamford, CT (onsite)

Compensation

USD 134,500 - 265,100 per yearly

Information for Applicants with a Need for Accommodation

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

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2mo ago

Health Care Analytics and AI Senior Product Owner

Deloitte Stamford, CT

Stamford, CT

2mo ago Closed

$116k - $229k/yr Full time Ai Workflows Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

Deloitte's Converge for Health Care initiative is expanding its analytics and AI leadership to advance health care outcomes through data-driven solutions. The Health Care Analytics and AI Senior Product Owner will be onsite in Stamford, CT, translating business priorities into actionable product requirements and guiding collaboration between engineering and data teams to deliver measurable impact, with a salary range of USD 116,200 to 229,100 per year.

Responsibilities

Lead the execution of product roadmaps and delivery plans in tandem with the Product Manager, maintaining alignment, momentum, and clarity as priorities move from concept through delivery.
Translate business objectives, practitioner input, and client needs into clear user stories, functional requirements, and acceptance criteria, leveraging healthcare domain knowledge and technical fluency to bridge business context with engineering and data teams.
Collaborate closely with engineering, data, and analytics teams to coordinate development, testing, and release activities, ensuring requirements are well understood and solutions align with intended use cases and outcomes.
Manage day-to-day backlog operations, including prioritization, grooming, and sprint planning, balancing near-term delivery needs with longer-term product direction.
Participate in agile ceremonies and working sessions to ensure development progress aligns with roadmap priorities, milestones, and stakeholder expectations.
Contribute to research, documentation, and design of new features by engaging with Deloitte leaders, practitioners, and clients to gather insights and validate assumptions grounded in real-world use.
Support pilot efforts and early deployments of new analytics capabilities, including GenAI-enabled features and emerging agentic workflows, translating early learnings into scalable product improvements.
Develop product collateral, demonstrations, and internal enablement materials to support adoption across Deloitte Consulting teams and client-facing engagements.
Monitor product usage, performance signals, and feedback, identifying opportunities for refinement or future investment and surfacing these insights to the Product Manager and broader product team.

Requirements

Ability to translate ambiguous business and domain needs into structured product requirements and executable work items.
Strong healthcare domain understanding, with experience applying analytics- or data-enabled solutions across healthcare operations and performance improvement contexts.
Technical fluency with analytics platforms and data-driven products, enabling effective collaboration with engineering, data, and analytics teams without requiring hands-on coding.
Strong problem-solving and analytical skills, including the ability to synthesize inputs, evaluate tradeoffs, and articulate a clear path forward.
Clear written and verbal communication skills, with the ability to engage Product Managers, engineers, consultants, and senior stakeholders.
Ability to influence outcomes and drive progress across cross-functional teams operating in fast-moving, matrixed environments.
Comfort operating within agile delivery environments, including practical use of backlog tracking, sprint planning, documentation, and collaboration tools.
Curiosity about emerging technologies such as advanced analytics, automation, GenAI, and agentic systems, and interest in applying these capabilities responsibly within healthcare products.
Comfort operating in evolving product portfolios where priorities, capabilities, and investment focus continue to mature over time.

Technologies

GenAI

Benefits

Discretionary annual incentive program eligibility

Qualifications

Bachelor's degree in business, healthcare administration, information systems, computer science, or a related field
4+ years of experience in healthcare consulting, product management, or technology delivery roles within the healthcare domain
Ability to travel up to 20%, on average, based on client and project needs
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Master's degree in business administration, healthcare administration, health informatics, or a related field

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3mo ago

Data Engineer - Senior Associate

PRICE WATERHOUSE COOPERS Stamford, CT

Stamford, CT

3mo ago Closed

$77k - $202k/yr Full time Senior Apache Airflow Azure Data Factory

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

A Data Engineer - Senior Associate designs and builds data infrastructure, pipelines, and analytics for client projects, combining technical delivery with leadership and client-facing responsibilities in Technology Consulting.

Responsibilities

Design and implement data infrastructure and systems to enable efficient processing and analytics
Develop and maintain data pipelines, integration, and transformation solutions to meet client needs
Leverage AWS and Azure Data Factory to enhance data engineering capabilities
Apply data architecture development and database management skills to optimize data solutions
Use Apache Airflow and Apache Hadoop for scalable data processing and workflow management
Build and manage data lakes and data warehouses to support large-scale storage and retrieval
Ensure data quality and validation through testing and performance tuning
Collaborate with clients to understand data requirements and deliver actionable insights
Leverage Databricks Unified Data Analytics Platform for advanced analytics and visualization
Implement data security best practices to protect sensitive information and maintain compliance
Apply dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
Support the development of data strategies to drive business growth and informed decision-making

Requirements

At least a Bachelor's degree
At least 2 years of experience

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Apache Airflow
Apache Hadoop
Databricks

Benefits

Medical insurance
Dental insurance
Vision insurance
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

The Opportunity

As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical expertise.

The Opportunity

In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects.

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3mo ago

Data Engineer - Manager

PRICE WATERHOUSE COOPERS Stamford, CT

Stamford, CT

3mo ago Closed

$99k - $232k/yr Full time Manager Analytics Cloud Operations

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

PwC offers a hybrid Data Engineer - Manager role in Stamford, CT with a competitive salary range of USD 99,000 to 232,000 per year. The position blends leadership of client-focused data initiatives with hands-on design of data infrastructure, pipelines, and analytics capabilities. Benefits include medical, dental, and vision coverage, a 401(k) plan, holiday pay, vacation, and personal and family sick leave. You will guide cross-functional teams, manage client accounts, and translate data-driven insights into measurable business growth.

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and build scalable data architectures and systems that enable efficient processing and analytics
Create and manage data pipelines, integration, and transformation solutions to meet client needs
Leverage AWS and Azure Data Factory to strengthen data engineering capabilities
Lead teams in planning and executing data driven projects
Oversee deployment of scalable data solutions on Databricks and Snowflake
Mentor teammates in data architecture development and database optimization
Ensure data quality, security, and compliance within analytics frameworks
Identify opportunities to apply data for growth and performance improvements
Coach junior staff to develop skills and foster innovation
Address conflicts and engage in critical conversations with clients and stakeholders

Requirements

Bachelor's degree required
Minimum four years of experience

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Databricks
Snowflake

What sets you apart

Preference for study in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
Experience using AWS and Azure Data Factory for data engineering
Developing data architecture and optimization strategies with Snowflake and Databricks
Implementing data anonymization and security best practices in complex systems
Strength in dimensional modeling and data pipeline management
Leading teams in data warehouse troubleshooting and performance tuning
Mentoring junior staff in data strategy and validation techniques

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3mo ago

Project - Data Engineer

Deloitte Stamford, CT

Stamford, CT

3mo ago Closed

$57k - $96k/yr Full time Amazon Web Services Analytics AWS

This position is no longer accepting applications (closed Jul 29, 2026).

Job Description

Deloitte is seeking a Project Delivery Data Engineer in Stamford, CT on site to build data pipelines and analytics-ready datasets in AWS and Snowflake for a large onshore/offshore program.

Responsibilities

Design and optimize AWS data pipelines with Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and implement performant SQL transformations to produce curated, analytics-ready datasets.
Implement workflow automation and scheduling using Airflow/MWAA, Step Functions, or Glue, including dependencies, retries, and logging.
Embed data quality checks and basic observability with validation rules, reconciliations, and alerts; support incident triage and remediation.
Improve pipeline and query performance through guidance on efficient Python practices, S3 partitioning/file formats (Parquet/Delta), and Snowflake warehouse usage and tuning.
Follow CI/CD and IaC standards with Git workflows and Terraform/CloudFormation changes to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; adhere to team engineering standards.
Maintain regular communication with Engagement Managers, project team members, and cross-functional stakeholders; escalate matters requiring engagement management input.
Lead client engagement workstreams focused on improvement, optimization, and transformation of processes, implementing best-practice workflows and driving operational outcomes.

Requirements

Minimum 1 year of experience building or enhancing data pipelines and curated datasets for analytics and downstream consumers.
At least 1 year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration or scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet, Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform or CloudFormation).
Understanding of data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10 percent, depending on assignments and client needs.
Experience delivering in Agile environments.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Ability to deliver technical demonstrations.

Technologies

AWS, Python, Snowflake, SQL, PySpark
Airflow (MWAA), Step Functions, Glue
Terraform, CloudFormation, Git
Parquet, Delta, S3
Azure Data Factory, Fabric Data Factory

Benefits

Discretionary annual incentive program

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5mo ago

VP, Business Development - Analytics & Innovation L&H

Gen Re Stamford, CT 🇺🇸 Remote

Stamford, CT

5mo ago Closed

$155k - $259k/yr Full time Account Management Advanced Analytics Business Development

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