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191 results (20 new)

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Data Product Analyst – AWS / SQL

Wise Skulls Corp.

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior Database Administrator – Azure SQL / Amazon RDS / Percona MySQL (Healthcare SaaS)

NDA PARTNERS INC

Remote • 24d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Appian & RPA Technology Consultant – (Appian BPM, Blue Prism, SQL, API Integration & AWS)

ITBrainiac Inc

Richardson, Texas • Today

Easy Apply

Contract, Third Party

Depends on Experience

Data Analyst with sql python BI AWS Quicksight

SID Global Solutions

Exton, Pennsylvania • Today

Easy Apply

Full-time

Depends on Experience

Cloud Application Support Engineer – AWS, Python, Java & SQL

ITBrainiac Inc

Raleigh, North Carolina • Today

Easy Apply

Third Party, Contract

Depends on Experience

Data Engineer (AWS/ SQL/ Databricks)

Resource 1

Hybrid in Northfield, Illinois • 17d ago

Easy Apply

Full-time

135000 - 150000

Sr. Data Scientist ML (Python, AWS, SQL) - Irvine, CA - ONLY W2 - (JK)

Central Business Solutions

Hybrid in Irvine, California • 23d ago

Easy Apply

Contract

Depends on Experience

Data Engineer I - Cloud Data Modernization - AWS, Databricks, DBT, SQL, AI

The Travelers Indemnity Company

Hartford, Connecticut • 6d ago

Full-time

USD 112,000.00 - 184,800.00 per year

Data Engineer I (AWS, Python, SQL)

The Travelers Indemnity Company

Hartford, Connecticut • 5d ago

Full-time

USD 109,300.00 - 180,200.00 per year

Lead Data Engineer - PySpark/Databricks/SQL/AWS

JPMorgan Chase & Co.

Wilmington, Delaware • Today

Full-time

Senior Data Engineer (Snowflake / AWS / SQL)

Indus River Technologies Inc.

Remote or Hybrid in California City, California • Today

Easy Apply

Contract

60 - 65

Data Scientist II - Gen AI/Python/AWS/SQL

Unum

Chattanooga, Tennessee • Today

Full-time

USD 73,300.00 - 150,500.00 per year

Data Scientist II - Gen AI/Python/AWS/SQL

Unum Group

Chattanooga, Tennessee • 5d ago

Full-time

USD 73,300.00 - 150,500.00 per year

Data Product Analyst (International Data)

Wise Skulls Corp.

Toronto, Ontario • 5d ago

Easy Apply

Full-time

Depends on Experience

Data Analyst Product Owner

Aivanta Tech Inc

Hybrid in New York, New York • 5d ago

Easy Apply

Full-time

Depends on Experience

Data Product Analyst

LendingTree

Charlotte, North Carolina • Today

Full-time

USD 90,000.00 - 95,000.00 per year

Digital Product Data Analyst

Apex Group Ltd

New York, New York • 30+d ago

Full-time

USD 100,000.00 - 125,000.00 per year

Data Science Product Analyst Intern

SageSure Insurance Managers

Fairfield, California • Today

Full-time

Lead Analyst, Data Product

Johnson & Johnson

New Brunswick, New Jersey • Today

Full-time

USD 109,000.00 - 174,800.00 per year

Data Analyst

System One

Hybrid in Plano, Texas • 5d ago

Easy Apply

Contract

$75

Data Analyst

TECHProjects

Hybrid in Trenton, New Jersey • 24d ago

Easy Apply

Third Party, Contract

Depends on Experience

AWS Databricks Engineer - Dallas, TX | Local Only | Onsite. Inperson interview is MUST. Need strong experience with AWS + Python + PySpark + Databricks + AWS Glue + SQL + Kafka + Redshift + ETL.

Keylent

Dallas, Texas • Today

Easy Apply

Third Party, Contract

Depends on Experience

Data Analyst

SteerBridge

Charlotte, North Carolina • Today

Full-time

USD 81,000.00 - 95,000.00 per year

Data Analyst

SteerBridge

Beaufort, South Carolina • Today

Full-time

USD 81,000.00 - 95,000.00 per year

Data Analyst

Nexorant LLC

Remote • Today

Easy Apply

Full-time

75000 - 95000

Senior .NET ,AWS ,SQL Developer-W2-onsite

Tektree Systems Inc.

Fort Mill, South Carolina • 10d ago

Easy Apply

Contract

Depends on Experience

Data Analyst

Eliassen Group

McLean, Virginia • 4d ago

Contract

PL/SQL Developer

NTT DATA Americas, Inc

Hybrid in Plano, Texas • 24d ago

Easy Apply

Contract

$38 - $48

Data Analyst

CACI International, Inc.

Chantilly, Virginia • Today

Full-time

USD 86,600.00 - 181,800.00 per year

Data Analyst

CACI International, Inc.

Riverside, California • Today

Full-time

USD 69,600.00 - 142,700.00 per year

Wise Skulls Corp.

Job Details

Skills

SQL
AWS
Redshift
Amazon Redshift
S3
Amazon S3
Data Integration
ETL/ELT
Data Pipelines
Data Modeling
Data Analysis
Data Product Management
API Integration
Business Analysis

Summary

JD:

Overview:

The Flag Football Data Product Analyst will play a critical role in advancing the Flag Football Data & Analytics program by leading the integration of data into the League's central data platform and coordinating efforts across clubs, international markets, vendors, federations, registration providers, and league partners. The role serves as the connective point between business stakeholders, external partners, data engineering, analytics, governance, and privacy teams to establish a scalable and governed Flag Football data ecosystem.

Key Responsibilities:

Lead the discovery, onboarding, and integration of Flag Football data sources into the central data platform.
Coordinate data acquisition efforts across clubs, international markets, leagues, federations, vendors, registration providers, and other third-party partners.
Manage the Flag Football data roadmap, priorities, milestones, risks, dependencies, and stakeholder communications.
Translate business needs into data requirements, user stories, acceptance criteria, and monitoring needs.
Establish and maintain standardized data definitions, collection methodologies, schemas, and reporting frameworks.
Partner with engineering, architecture, analytics, governance, privacy, and business teams to move data sources from discovery through production.
Support source onboarding through data profiling, validation, testing, quality assessment, and issue resolution.
Develop and maintain a comprehensive inventory of Flag Football data sources and integration opportunities.
Coordinate recurring program updates, executive reporting, and cross-functional working sessions.
Support the development of global participation measurement methodologies and reporting.
Help establish participant-level data models, identity management approaches, and consent-aware data practices.
Enable analytical capabilities that connect participation data to fan engagement, retention, and fandom outcomes.

Required Qualifications:

3+ years of experience in data product management, data strategy, analytics, business analysis, or a related field.
Experience leading complex data integration or data platform initiatives from planning through implementation.
Strong understanding of data pipelines, APIs, file-based integrations, ETL/ELT processes, data modeling, and cloud-based data platforms.
Hands-on experience with AWS, specifically Amazon Redshift and S3.
Demonstrated ability to manage cross-functional programs involving both technical and business stakeholders.
Experience gathering requirements, defining business processes, and translating needs into technical solutions, with strong hands-on SQL skills, including writing complex queries, data validation, and troubleshooting.
Strong analytical and problem-solving skills with hands-on experience using SQL and data analysis techniques.
Excellent written and verbal communication skills.
Ability to manage multiple priorities and stakeholders in a fast-paced environment.
Must be comfortable demonstrating practical SQL and data analysis skills during a live coding assessment.

Preferred Experience:

Experience working with sports, participation, registration, membership, fan, consumer, or youth-related data.
Experience coordinating with external vendors, international organizations, or decentralized business partners.
Familiarity with data governance, metadata management, privacy requirements, consent management, and data quality practices.
Experience with participant identity resolution, customer data platforms, or master data management initiatives.
Experience developing KPI frameworks, dashboards, executive reporting, and self-service analytics solutions.
Knowledge of research methodologies, survey-based measurement, and longitudinal analytics.
Experience working with Snowflake, Google Cloud Platform, or similar modern data platforms.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097138
Position Id: JPC -5066
Posted 2 hours ago

Company Info

About Wise Skulls Corp.

Since 2019, Wise Skulls has been redefining the landscape of contractual staffing by connecting exceptional talent with industry-leading opportunities. Specializing in the IT sector and expanding into diverse industries, we help build impactful careers and high-performing teams.

Our mission is clear: to align the right people with the right roles while fostering long-term success for individuals and organizations alike. By leveraging cutting-edge technology, industry expertise, and a deep understanding of both on-site and remote work dynamics, we provide staffing solutions that go beyond filling positions and create pathways to growth and innovation.

At Wise Skulls, we aspire to set new benchmarks for efficiency and excellence in staffing. Our vision is to become the go-to platform for contractual hiring, empowering professionals to achieve their career aspirations and enabling businesses to thrive with dynamic teams.

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Contact the job poster

Jainil Pancholi

Recruiter @ Wise Skulls Corp.

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Wise Skulls Corp.

Job Details

Skills

SQL
AWS
Redshift
Amazon Redshift
S3
Amazon S3
Data Integration
ETL/ELT
Data Pipelines
Data Modeling
Data Analysis
Data Product Management
API Integration
Business Analysis

Summary

JD:

Overview:

The Flag Football Data Product Analyst will play a critical role in advancing the Flag Football Data & Analytics program by leading the integration of data into the League's central data platform and coordinating efforts across clubs, international markets, vendors, federations, registration providers, and league partners. The role serves as the connective point between business stakeholders, external partners, data engineering, analytics, governance, and privacy teams to establish a scalable and governed Flag Football data ecosystem.

Key Responsibilities:

Lead the discovery, onboarding, and integration of Flag Football data sources into the central data platform.
Coordinate data acquisition efforts across clubs, international markets, leagues, federations, vendors, registration providers, and other third-party partners.
Manage the Flag Football data roadmap, priorities, milestones, risks, dependencies, and stakeholder communications.
Translate business needs into data requirements, user stories, acceptance criteria, and monitoring needs.
Establish and maintain standardized data definitions, collection methodologies, schemas, and reporting frameworks.
Partner with engineering, architecture, analytics, governance, privacy, and business teams to move data sources from discovery through production.
Support source onboarding through data profiling, validation, testing, quality assessment, and issue resolution.
Develop and maintain a comprehensive inventory of Flag Football data sources and integration opportunities.
Coordinate recurring program updates, executive reporting, and cross-functional working sessions.
Support the development of global participation measurement methodologies and reporting.
Help establish participant-level data models, identity management approaches, and consent-aware data practices.
Enable analytical capabilities that connect participation data to fan engagement, retention, and fandom outcomes.

Required Qualifications:

3+ years of experience in data product management, data strategy, analytics, business analysis, or a related field.
Experience leading complex data integration or data platform initiatives from planning through implementation.
Strong understanding of data pipelines, APIs, file-based integrations, ETL/ELT processes, data modeling, and cloud-based data platforms.
Hands-on experience with AWS, specifically Amazon Redshift and S3.
Demonstrated ability to manage cross-functional programs involving both technical and business stakeholders.
Experience gathering requirements, defining business processes, and translating needs into technical solutions, with strong hands-on SQL skills, including writing complex queries, data validation, and troubleshooting.
Strong analytical and problem-solving skills with hands-on experience using SQL and data analysis techniques.
Excellent written and verbal communication skills.
Ability to manage multiple priorities and stakeholders in a fast-paced environment.
Must be comfortable demonstrating practical SQL and data analysis skills during a live coding assessment.

Preferred Experience:

Experience working with sports, participation, registration, membership, fan, consumer, or youth-related data.
Experience coordinating with external vendors, international organizations, or decentralized business partners.
Familiarity with data governance, metadata management, privacy requirements, consent management, and data quality practices.
Experience with participant identity resolution, customer data platforms, or master data management initiatives.
Experience developing KPI frameworks, dashboards, executive reporting, and self-service analytics solutions.
Knowledge of research methodologies, survey-based measurement, and longitudinal analytics.
Experience working with Snowflake, Google Cloud Platform, or similar modern data platforms.

Dice Id: 91097138
Position Id: JPC -5066
Posted 2 hours ago