Analytics

Analytics Data Jobs

1,536 jobs found

21d ago

Lead Data Analyst

Staff Management Group - Passaic Passaic, NJ

Passaic, NJ

21d ago

$24,000+/mo Full time Manager Agile Methodologies Agile Scrum

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Job Description

Lead Data Analyst role focused on building analytics solutions, dashboards, and data models to drive strategic decision-making.

Responsibilities

Design and implement data models aligned to business needs and database design best practices
Build and maintain interactive dashboards and reports to visualize key metrics using Tableau, Power BI, Looker, and comparable reporting platforms
Own the full analytics SDLC, including requirements gathering, development, testing, deployment, and ongoing maintenance
Partner with cross-functional teams to analyze business requirements, translate them into technical specifications, and deliver actionable insights
Oversee ETL workflows to integrate data accurately from multiple sources, including SQL databases, Oracle, Talend, and Bash scripts
Perform advanced data analysis using R, Python, and Excel techniques to identify trends and opportunities
Lead business intelligence efforts by developing dashboards, visualizations, and reports that support strategic planning and operational efficiency
Mentor junior analysts on SQL query management, data visualization best practices, and technical proficiency across Microsoft SQL Server and VBA
Apply Agile project management principles to support timely delivery of analytics solutions
Promote linked data management best practices and support integration of diverse datasets for comprehensive analysis

Requirements

Proven experience as a Data Analyst (or similar) with demonstrated expertise in SQL databases such as Microsoft SQL Server or Oracle
Strong proficiency with data visualization tools including Tableau, Power BI, Looker or equivalent platforms
Solid understanding of SDLC processes and experience applying software development lifecycle analysis to analytics projects
Technical skills in R, Python, VBA, Bash (Unix shell scripting), and Talend or similar ETL tools
Expertise in database design and query management to optimize performance across large datasets
Familiarity with business intelligence concepts such as dashboard development and reporting automation
Ability to interpret complex datasets into clear insights for business stakeholders
Knowledge of linked data principles and experience building integrated datasets from diverse sources
Strong project management skills in an Agile framework to coordinate multiple initiatives
Effective communication skills for requirements analysis and translating technical findings into actionable recommendations

Technologies

Tableau, Power BI, Looker
SQL, Microsoft SQL Server, Oracle
Talend, Bash
R, Python, Excel, VBA
ETL, SDLC, Agile

Benefits

401(k) matching
Visa sponsorship

Location

Passaic, NJ (onsite)
In person

Pay

From $24,000.00 per month

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21d ago

Data Scientist

CGI Group, Inc. Washington, DC

Washington, DC

21d ago

$71k - $172k/yr Full time Analytics Business Intelligence Data

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Job Description

Join CGI Group, Inc. as a Data Scientist supporting a client’s mission to build an enterprise analytics platform in an agile environment. This onsite role in Washington, DC pairs deep technical work with opportunities to bring new data science approaches into multiple active work streams.

You’ll work with modern data and BI technologies while contributing to improved client reporting. In addition to competitive compensation (estimated USD 70,800 - 172,400 per year), CGI offers comprehensive insurance options, 401(k) matching contributions and a share purchase plan, along with paid time off (vacation, holidays, and sick time), paid parental leave, and learning opportunities and tuition assistance. Wellness and well-being programs are also included.

What you’ll do

Apply in-depth technical capabilities to support multiple work streams and help drive adoption of new techniques and solutions.
Use data and technical expertise to perform analysis, data mining, and visualization with Business Intelligence tools and data development platforms.
Evaluate data quality using SQL and data analysis techniques to strengthen client reporting capabilities.
Track technology trends in data science and communicate how they can benefit future platform development.
Participate in team problem solving and contribute ideas to address client issues.
Understand data needs and build data pipelines that automate and accelerate data preparation.

What you bring

US citizenship is required due to government contract and/or clearance requirements.
An interim Secret clearance is required to begin onsite work, and a Secret clearance must be maintained throughout the project duration.
Bachelor’s degree or master’s degree in Computer Science, Mathematics, or a STEM-related discipline.
3 to 4 years of experience working on Analytics and Business Intelligence focused initiatives, preferably in consulting.
3 to 4 years of experience using Python, R, or other languages to build statistical models or analyze data.
3 to 4 years of experience creating complex SQL queries and functions, data structures, and strong analytical problem solving skills.
Experience with self-service Business Intelligence and data visualization tools such as Tableau, Power BI, Business Objects, etc.
Experience working in an Agile-based environment.
Strong technical and troubleshooting capabilities.

Tools you’ll use

Python
R
SQL
Tableau
Power BI
Business Objects

Additional hiring information

All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary depending on the specific assignment and/or level of US government security clearance held. Depending on role and federal security clearance requirements, some background investigations may include a credit check. CGI will consider qualified applicants with arrests and conviction records in accordance with local regulations and ordinances.

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21d ago

Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte San Diego, CA

San Diego, CA

21d ago

$103k - $189k/yr Full time Amazon Web Services Analytics Artificial Intelligence

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Job Description

Deloitte’s Strategic Analytics team is seeking a Lead Data Scientist to drive generative AI and advanced analytics initiatives within Finance, including the design, development, and deployment of AI/ML solutions that support strategic priorities. This onsite role in San Diego pairs technical delivery with close collaboration across finance and operational stakeholders.

Role Overview

As a Lead Data Scientist GenAI on the Strategic Analytics team, you will design, build, and deploy AI/ML and advanced analytics solutions. You will also contribute to generative AI product development aligned to finance-focused strategic priorities. The position includes constructing cloud-based data pipelines and model deployment workflows, while translating business needs into actionable insights through cross-functional partnership.

Key Responsibilities

Design, develop, and deploy artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
Build and maintain scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
Partner with finance, strategy, and operational teams to convert business requirements into technical solutions and actionable insights
Support development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
Monitor solution performance, maintain technical documentation, and identify opportunities to improve reliability, efficiency, and adoption

Required Qualifications

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
3+ years of experience developing solutions using Python
2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
2+ years of experience using Structured Query Language and working with relational or distributed data platforms
Ability to travel 0-10%, on average, based on work performed and clients and industries/sectors served
Limited immigration sponsorship may be available

Technologies

Python
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Structured Query Language
Tableau
Power BI
Large language model

Team Context

Strategic Analytics is part of the Finance Financial Planning and Analysis organization, supporting executive leaders and stakeholders across financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support firm growth. Generative artificial intelligence is a key strategic priority, with a strong focus on building products and solutions that create value across the organization and for clients. In this role, the selected candidate will contribute to high-impact initiatives that advance innovation and business transformation.

Preferred Qualifications

Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
Experience developing generative artificial intelligence or large language model solutions
Experience with machine learning operations tooling and model deployment frameworks
Experience building application programming interfaces or production data products
Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
Experience with data visualization tools such as Tableau or Power BI

Compensation

The salary range for this role is USD 102,500 to 188,900 per year. The range reflects a broad set of factors considered in making compensation decisions. It is not typical to be hired at or near the top of the range, and compensation is determined based on the facts and circumstances of each case.

Incentives

Discretionary annual incentive program, subject to the rules governing the program

Location

San Diego, CA (onsite)

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21d ago

Data Engineer

ComputerPeople Staffing Buffalo, NY

Buffalo, NY

21d ago

$100k - $135k/yr Full time Backend Developer Analytics Big Data

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Job Description

Senior Data Engineer (Direct Hire) role in Buffalo, NY (Hybrid) focused on standing up a centralized enterprise data platform from scratch during an Oracle Cloud Fusion transformation.

Responsibilities

Act as the primary technical owner for Oracle Fusion Data Intelligence (OFDI), responsible for standing up, configuring, and evolving it as the enterprise analytics hub
Independently design enterprise data architecture, including data modeling, repository structure, and segmentation strategy across disparate sources (SAP, on-prem Oracle, SQL Server, GIS, and others)
Design and build scalable ETL/ELT pipelines to ingest multi-source data into a centralized data warehouse
Develop and maintain integrations using Oracle Integration Cloud (OIC) as enterprise middleware
Drive the transition away from legacy flat file integrations toward API-based, event-driven data flows
Implement data quality checks, reconciliation processes, and monitoring controls to support auditability and regulatory compliance
Curate trusted, analytics-ready datasets for downstream BI tools including Power BI and Oracle Analytics Cloud
Build and maintain semantic data models and data mappings that enable self-service reporting and enterprise analytics
Collaborate with application and business stakeholders to define data requirements across operational, financial, regulatory, and customer domains
Establish data governance frameworks, data lineage documentation, and data quality standards from the ground up
Document data flows, technical designs, and integration specifications for long-term maintainability
Partner with enterprise architecture and application teams to align data solutions to enterprise standards
Evaluate and recommend supplemental data tools (example listed: Microsoft Fabric) with meaningful input into tooling decisions
Operate with a high degree of autonomy in a self-directed capacity, with minimal technical oversight above this role and no internal mentor for this specific skill set
Identify future capability gaps and contribute to hiring decisions as the data engineering function grows

Requirements

Demonstrated experience independently designing and building ETL/ELT pipelines and data architecture for enterprise environments (not limited to executing an existing design), covering both relational and cloud-based approaches
7+ years of professional experience in data engineering, data integration, or analytics engineering
Strong SQL skills and hands-on experience with relational platforms such as Oracle and SQL Server
Experience ingesting from multiple disparate systems (examples listed: ERP, CRM, CIS, asset management) into a unified data model
Scripting experience (examples listed: Python, PowerShell) for pipeline automation
Familiarity with cloud-based enterprise platforms and hybrid on-prem/cloud architectures
Self-directed approach with strong instincts for data quality, auditability, and governance
Knowledge of enterprise integration and data architecture design patterns
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Technologies

Oracle Fusion Data Intelligence (OFDI)
Oracle Cloud Fusion
Oracle Integration Cloud (OIC)
Power BI
Oracle Analytics Cloud
Microsoft Fabric
SAP
SQL Server
Oracle
GIS
ETL, ELT
Python, PowerShell
API-based, event-driven data flows
Informatica, Boomi, SSIS, Talend, MuleSoft

Benefits

Annual Bonus Program
Low cost medical, dental premiums
Very generous Paid Time Off
401K match plus additional Company Funded Retirement Savings Account (even if you don't contribute to 401K)
Leadership training program
Management that is dedicated to your career success and flexible when life happens
Positive/collaborative work culture
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Vision insurance

Salary

USD 100,000 - 135,000 per year

Application Questions

Do you have ETL, integration, and/or Data Warehouse experience?
Have you have experience with Microsoft Fabric or a similar tool?
Have you ever designed an enterprise data solution across disparate source systems?
What are your salary requirements?

Location

Buffalo, NY 14221 (Required)
Hybrid

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21d ago

Data Analyst

CFA Institute Virginia 🇺🇸 Remote

Virginia

21d ago

$70k - $100k/yr Full time Analytics Data Data Analysis

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Job Description

Join CFA Institute’s Enterprise Data Analytics team as a Data Analyst supporting better business decisions through reliable data and clear reporting. This remote role in Virginia helps translate structured datasets into trustworthy visualizations, dashboards, and recurring analytics for internal stakeholders.

What you’ll be doing

You will partner with the team to keep data ready for analysis and reporting. The work includes cleaning, preparing, and documenting structured datasets so they remain accurate, consistent, and usable downstream. You’ll also help build foundational visualizations and dashboards using standard tools such as Excel, SQL, and Python.

Day to day, you’ll run predefined analyses and templates following established methods and processes. You’ll perform quality assurance on reports and data pipelines, identifying and correcting errors before publication. When issues are known, you’ll investigate and apply standard troubleshooting steps; if something is novel or ambiguous, you’ll escalate it to senior team members.

In addition, you’ll support colleagues’ use of data management and reporting systems by answering routine questions and directing people to documentation. You’ll also contribute to the preparation of recurring data and analytics reports for internal stakeholders.

How you’ll grow in the role

The position includes ongoing training and coaching, with hands-on project work focused on developing foundational data analysis skills and business knowledge.

Requirements

Bachelor’s degree in statistics, data science, computer science, economics, or a related field, or equivalent experience
Professional experience in data analysis, reporting, or a related analytical role
Foundational knowledge of statistics, data wrangling, and visualization using Excel, SQL, and Python
Strong attention to detail and commitment to accuracy in data preparation and reporting
Ability to follow established methods and processes, with judgment to escalate novel or ambiguous issues
Effective written and verbal communication, including the ability to present findings clearly to internal stakeholders
Strong organization skills to manage multiple tasks under close supervision
Comfort working collaboratively in a fast-paced environment
Familiarity with AI tools such as Microsoft Co-Pilot, ChatGPT, Claude, and Cursor

Tools you’ll use

SQL, Python, Excel, Microsoft Co-Pilot, ChatGPT, Claude, Cursor

Compensation and benefits

Anticipated base salary range: $70,000–$100,000 per year
Annual incentive bonus
12% employer contribution to a 401(k) plan
Comprehensive medical benefits package, including health coverage
Generous time off
Competitive retirement plans
Flexible work options
Wellbeing and development programs

Remote work details

Eligible for remote work within select approved U.S. locations. Candidates must reside in one of the locations identified in the job posting (Virginia).

Note on salary: Actual base salary offered will be determined based on relevant factors, including experience, education, qualifications, and geographic location.

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21d ago

Sr Data Analyst

Aflac United States 🇺🇸 Remote

United States

21d ago

$70k - $105k/yr Full time Senior Analytics Business Analytics

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Job Description

Sr Data Analyst role in Aflac’s Digital Services division focused on analytical research, reporting, modeling, and analytics tool development for actionable insights.

Responsibilities

Conduct organizational research by gathering, interpreting, and comparing operational data to benchmarking and best-practice sources
Identify significant business issues, trends, and opportunities; provide insights and recommendations to the organization
Build tactical reporting and analysis frameworks covering performance across at least three business areas
Develop and maintain mathematical modeling tools for internal business areas
Lead special projects requiring advanced analytical expertise and produce executive-level presentations
Define and implement appropriate measures and reports to assess organizational performance and initiative performance
Stay current on software and tools used to build reports and run analyses efficiently
Collaborate with peer teams on the architecture, development, and deployment of analytics tools that support efficient discovery of actionable insights
Perform deep data analysis to uncover trends, patterns, and insights related to Client program performance, employee experience, and organizational effectiveness
Mentor and support the development and training of analysts across US Analytics and other internal business areas
Support strategic efforts and business planning through metric gathering, analysis, and deliverable tracking
Perform other related duties as required

Requirements

Strong analytical skills with the ability to mentor and train analysts and business partners on analytical methods, tools, reports, and data
Excellent presentation and communication skills (oral, written, interpersonal) for interactions with all management levels while maintaining professionalism
Knowledge of business operations and the insurance industry
Ability to work independently or as part of a team
High attention to detail to ensure data accuracy
Ability to meet deadlines
SQL, Python, and DataViz are a plus but not required

Technologies

SQL
Python
DataViz

Remote Work Expectations

This role is remote and you will work from home within the continental US
Occasional office visits may be requested based on business need
Any office requests would be communicated in advance

Education & Experience

Bachelor’s Degree in Analytics, Computer Science, or a related field
2+ years of job-related experience
Or an equivalent combination of education and experience

Education & Experience (Preferred)

Successful analytical work supporting business requirements, potentially including predictive analytics
Operations experience

Benefits

Medical, dental, and vision coverage
Prescription drug coverage
Health care flexible spending
Dependent care flexible spending
Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
401(k) plans
Annual bonuses
Opportunity to purchase company stock
11 paid holidays
Up to 20 days PTO to be used for any reason
State-mandated sick leave (Washington employees accrue 1-hour sick leave for every 40 hours worked) (if eligible)
Other leaves of absence, if eligible

Total Rewards

Salary range: $70,000 - $105,000 per year
Compensation depends on factors including education, experience, licensure, certifications, geographic location, and peer compensation
Typically, hiring at or near the top of the range is not standard to support future salary growth
The range does not include potential incentive pay or benefits, which are provided separately when appropriate

What It Takes to Be Successful at Aflac

Acting with Integrity
Communicating Effectively
Pursuing Self-Development
Serving Customers
Supporting Change
Supporting Organizational Goals
Working with Diverse Populations

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21d ago

Data Analyst

Aflac United States 🇺🇸 Remote

United States

21d ago

$52k - $80k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Aflac is hiring a Data Analyst for its Digital Services organization. This is a remote role within the continental US, designed for analysts who want to turn operational data into actionable insights for business leaders and executive presentations.

In this position, you will support business performance research, build and maintain analytical models and tools, and deliver in-depth analysis focused on client program performance, employee experience, and organizational effectiveness. You will also stay current with the latest reporting and analytics software to work efficiently across the reporting lifecycle.

What you’ll do

Conduct business performance research by gathering, interpreting, and comparing operational data for benchmarking and recommendations.
Develop and update mathematical modeling tools that define and track key performance metrics.
Define and implement appropriate measures and reports to assess organizational performance and initiative performance.
Perform deep data analysis to surface trends, patterns, and insights related to client program performance, employee experience, and organizational effectiveness.
Collaborate with peer teams to lead the architecture, development, and deployment of analytics tools that enable efficient and scalable insight discovery.
Support special projects as needed, including the development of executive-level presentations.
Use modern analytics software to build reports and run analysis efficiently, including Snowflake, Tableau, PowerBI, and other tools.
Maintain up-to-date knowledge of analytics/reporting tools and workflows to support timely, accurate analysis.

What you bring

Proven analytical skills with strong attention to detail to ensure data accuracy.
Business acumen and the ability to analyze performance and forecast outcomes.
Strong presentation and communication skills (oral, written, and interpersonal) to interact professionally with all levels of management.
Ability to work independently and/or collaboratively in a team setting.
Ability to meet deadlines while managing deliverables.
Knowledge of business operations and the insurance industry is preferred.
Experience or capability with Microsoft PowerPoint, business case preparation, and business cost/benefit analysis.
Working knowledge of statistical analysis tools and data trend analysis and interpretation.
Experience with business performance analysis and forecasting.
SQL, Python, and data visualization tools are a plus but not required.

Education and experience

Bachelor’s Degree in Analytics, Computer Science, or a related field.
0 to 2+ years of job-related experience.
Or an equivalent combination of education and experience.
Preferred: experience with analytical project management and descriptive and diagnostic analytics; operations experience.

Remote work details

You will be expected to work from home within the continental US.
There may be occasional requests to come to the office based on business need.
Any in-office requests would be communicated in advance.

Compensation and tools

Salary: USD 52,000 - 80,000 per year.

Technologies used: Microsoft PowerPoint, Snowflake, Tableau, PowerBI, SQL, Python.

Benefits

Medical, dental, and vision coverage
Prescription drug coverage
Health care flexible spending
Dependent care flexible spending
Aflac supplemental policies (Accident, Cancer, Critical Illness, and Hospital Indemnity) offered at no costs to employee
401(k) plans
Annual bonuses
Opportunity to purchase company stock
11 paid holidays
Up to 20 days PTO to be used for any reason
State-mandated sick leave (Washington employees accrue 1-hour sick leave for every 40 hours worked) and other leaves of absence, if eligible