Dallas, TX

Data Jobs in Dallas, TX

10 jobs found

Include remote jobs

1d ago

Asset & Wealth Management, Wealth Management Product Manager (Analytics), Analyst

Goldman Sachs Dallas, TX

Dallas, TX

1d ago

Full time Manager Adobe Analytics Analytics

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Job Description

Goldman Sachs' Asset & Wealth Management division is seeking an Analytics-focused Product Manager to own the end-to-end product lifecycle and analytics-driven wealth management solutions for clients and advisors. This on-site role in Dallas blends data science with product strategy, shaping how clients interact with digital wealth management tools while collaborating across teams to evolve the platform.

Responsibilities

Drive Insight: design and maintain advanced product analytics, dynamic dashboards, and data visualizations using tools like Adobe Analytics and Tableau to convert raw data into actionable product insights.
Uncover Opportunities: perform deep-dive analyses to reveal trends and customer behaviors, translating findings into strategic recommendations that fuel product innovation and growth.
Shape Data Strategy: translate complex business requirements into precise analytics specifications, ensuring accurate data capture and data integrity across digital products.
Forge Connections: collaborate with Product, Marketing, Technology, and other cross-functional teams to integrate diverse data sources and create a 360-degree view of client interactions and journeys.
Innovate & Evolve: actively manage the data platform product backlog, align with emerging priorities, and leverage industry trends to drive continuous product innovation.
Optimize & Govern: assess and refine existing data systems and processes, contributing to data governance policies and advancing data maturity.
Influence Decisions: present complex data-driven insights and strategic recommendations clearly to stakeholders, including senior leadership, to influence critical business decisions.

Requirements

A bachelor’s degree in a quantitative field such as Data Analytics, Business Analytics, Mathematics, Statistics, or related technical discipline.
At least 2 years of hands-on experience analyzing diverse data elements, with emphasis on online and mobile customer experiences.
Strong problem-solving abilities and a solid foundation in data analysis, capable of delivering actionable insights and strategic recommendations.
Experience with web analytics software (for example Adobe Analytics) and knowledge of tag implementation.
Proficiency in designing, managing, manipulating, and analyzing large datasets from various databases using SQL, R, and/or Python.
Proven track record in designing, developing, and implementing impactful data visualizations using Tableau or Qlik.
Excellent communication skills with the ability to articulate performance metrics and insights to senior executives and team members.
Strong interpersonal skills and a genuine interest in engaging with clients and building relationships.
Self-starter mindset, thriving in an autonomous yet collaborative and dynamic environment.

Technologies

Adobe Analytics
Tableau
Qlik
SQL
R
Python

Benefits

Healthcare & Medical Insurance
Holiday & Vacation Policies
Financial Wellness & Retirement
Health Services
Fitness
Child Care & Family Care
Benefits at Goldman Sachs

Opportunity overview

Corporate title: Analyst
Office location: Dallas, TX
Job function: Product Management
Division: Asset & Wealth Management

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19d ago

Data Engineer

Amazon Web Services, Inc. Dallas, TX

Dallas, TX

19d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Analytics

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Job Description

A data engineering professional at AWS will design and maintain analytical data infrastructure, develop metrics and dashboards, and enable data driven decision making. This onsite role is based in Dallas, TX, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, implement and support an analytical data infrastructure.
Manage AWS resources including EC2, EMR, S3, Glue, Redshift, and related services.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Collaborate with Data Scientists and Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Requirements

Bachelor's degree.
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience.
Experience providing technical leadership and mentoring other engineers for best practices on data engineering.
Experience building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with data modeling, warehousing and building ETL pipelines.

Technologies

SQL
Redshift
Quicksights
AWS Glue
EMR
S3
EC2
IAM
Kinesis
FireHose
Lambda

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
401(k) matching.
Paid time off.
Parental leave.

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1mo ago

Data Analyst II, Strategic Pipelines (226 Days)

Dallas Independent School District Dallas, TX

Dallas, TX

1mo ago Closed

$75k - $91k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Dallas Independent School District invites applicants for the Data Analyst II, Strategic Pipelines. This onsite, full-time role in Dallas, TX offers a salary range of USD 74,996 to 91,458 per year. The position strengthens recruitment and selection processes for educators and substitutes by ensuring data accuracy, developing reports and dashboards, and providing data-driven insights to guide hiring strategies.

Responsibilities

Oversee the collection, validation, and upkeep of applicant data to ensure accuracy, consistency, and compliance with district and state regulations.
Design and automate advanced dashboards, predictive models, and data pipelines that monitor recruitment and selection metrics such as candidate funnel efficiency, time-to-hire trends, applicant quality indicators, and substitute pool utilization.
Analyze hiring trends and outcomes to identify opportunities to improve recruitment strategies, diversity outreach, and candidate evaluation processes.
Collaborate with recruiters, hiring managers, and HR leadership to provide data that informs decision-making and supports staffing priorities.
Conduct ongoing data integrity audits and system reconciliations across multiple platforms, ensuring reliable information for compliance reporting and executive decision-making.
Translate complex data findings into clear, actionable insights for both technical and non-technical audiences.
Support compliance reporting related to staffing, equal employment opportunity, and state/federal requirements.
Contribute to continuous improvement of recruitment and selection processes through evidence-based recommendations.
Lead and partner on the design and implementation of new recruitment tools and methodologies in response to legislation changes.

Requirements

Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related field.
Minimum of 3 years of experience in data analysis, preferably within an HR context.
Proficiency in data analysis tools and software such as Excel, SQL, Tableau, and Power BI.
Strong analytical skills with the ability to interpret complex data and present findings clearly.
Experience with data management systems and an understanding of data governance.
Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Technologies

Excel
SQL
Tableau
Power BI
R
SPSS

Location

Human Capital Management, 9400 N Central Expressway, 14th Floor, Dallas, TX 75231

Employment Type

Full-time

Salary range: USD 74,996.00 – 91,458.00 per year

Posted: May 26, 2026

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1mo ago

Financial Modeling & Data Analytics Senior Consultant

Deloitte Dallas, TX

Dallas, TX

1mo ago Closed

$113k - $208k/yr Full time Advisor Analytics Business Analytics

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

Job Description

Senior Consultant on Deloitte's Modeling & Insights (M&I) team within Strategy & Transactions, based onsite in Dallas, TX. The role involves developing and delivering financial models and supporting analyses for transactions, strategic business planning, and operational decision-making. It leverages the Apex Platform to integrate models with enterprise data and technology solutions, applies artificial intelligence to financial modeling and advisory work, and coordinates with specialists across tax, valuation, accounting, consulting, and related functions. The position carries a salary range of USD 113,300 to 207,800 per year, requires a Bachelor's degree, and a minimum of 2 years of experience.

Responsibilities

Take a lead role in guiding clients through decision-making processes
Develop and deliver financial models and supporting analyses for transactions, strategic business planning, and operational decision-making
Collaborate with Deloitte's Apex Platform to connect financial models with enterprise data and technology solutions, including ERP systems, databases, visualization platforms, and analytics tools to generate data-driven insights
Apply artificial intelligence capabilities in financial modeling and advisory work
Advise clients by translating technical and commercial knowledge to analyze, interpret, and communicate actionable outcomes from financial models and data solutions
Design scalable, reusable financial solutions for scenario analysis, sensitivity testing, and long-term planning
Coordinate with Deloitte subject matter specialists across tax, valuation, accounting, consulting, regulatory, and business functions
Support business development activities for the Modeling & Insights Practice

Requirements

Ability to work independently and collaboratively as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and high-quality 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

Technologies

Apex Platform
ERP systems
Power BI
Tableau
VBA
Python
SQL

Benefits

Discretionary annual incentive program

The Team

Our Modeling & Insights (M&I) team is a market offering within Deloitte's Valuation & Modeling group. The team helps clients transform complexity into clarity by applying financial modeling, data solutions, analytics, and strategic insight to support confident decision making.

Preferred

Progress toward CPA, CFA, or other equivalent designation

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1mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions)

EY Dallas, TX

Dallas, TX

1mo ago Closed

$157k+/yr Full time Manager Analyst Analytics

This position is no longer accepting applications (closed Jun 25, 2026).

Job Description

Job Details

Location: Dallas, TX (hybrid)
Salary: USD 157,414 per year
Minimum experience: 2 years
Education: Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field
Travel: Up to 60% for client needs

Responsibilities

Collaborate with clients to redefine how data is used and governed, crafting data strategies and delivering end-to-end solutions that enhance the data supply chain, streamline processes, strengthen risk controls, and enable information intelligence through modern technologies.
Address complex challenges and drive growth across the financial services sector.
Develop and recommend data and analytics roadmaps by assessing current gaps, proposing remediation plans, and designing future-state data and analytics solutions.
Lead and mentor teams with diverse backgrounds, ensuring strong cross-functional collaboration and delivery.
Coordinate cross-functional workstreams to keep project tasks and timelines accountable.
Advise on and adopt new technologies to improve or replace existing business processes.
Foster thought leadership through white papers, viewpoints, and proof-of-concept initiatives.
Create problem-solving strategies that combine logic with creative approaches.
Engage and influence large teams and senior functional leaders to drive outcomes.
Inspire and manage teams with varied skills and backgrounds toward successful delivery.
Ensure consistent, high-quality client service by monitoring progress and outcomes.
Demonstrate deep technical capabilities and professional knowledge relevant to data governance and analytics.
Maintain long-term client relationships and networks to support ongoing engagements.
Cultivate opportunities for business development within existing and new accounts.

Requirements

Bachelor’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field with 5 years of progressive, post-baccalaureate experience, or Master’s degree with 4 years of related work experience.
Minimum 2 years of experience in the banking, capital markets, insurance, or asset management industry.
Experience with distributed processing technologies (Spark, Hadoop, or EMR).
Experience with traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL).
Experience with MPP data platforms (AWS Redshift or Teradata).
Experience with NoSQL technologies (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan).
Exposure to cloud platforms (AWS, Azure, Google Cloud, or Databricks).
Familiarity with data governance, lineage, and quality tools (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID).
At least 3 years of experience using technologies, frameworks, or methodologies for data ingestion, storage, mining, warehousing, big data analytics, data manipulation, or visualization.
At least 3 years of experience leading teams through product or project management life cycles (requirements, design, development, testing).
At least 3 years of experience quantifying business improvements using analytics or statistical modeling.
Willingness to travel domestically and regionally up to 60% to meet client needs.

Technologies

Spark
Hadoop
EMR
MS SQL Server
Oracle
MySQL
PostgreSQL
AWS Redshift
Teradata
MongoDB
DynamoDB
Cassandra
Neo4J
Titan
AWS
Azure
Google Cloud
Databricks
Collibra
Solidatus
Informatica
Alation
Snowflake
Ab Initio
One Trust
Big ID

Benefits

Medical and dental coverage
Pension and 401(k) plans
Paid time off and flexible vacation policy
Hybrid work model with team-led and leader-enabled structure
Continuous learning opportunities to build skills for the future
Tools and flexibility to drive meaningful impact in your own style
Transformative leadership development with coaching and confidence-building
Diverse and inclusive culture that values individual voices

Additional Details

Nearest major market: Dallas
Nearest secondary market: Fort Worth
Date: 7 May 2026
Requisition ID: 1708266

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1mo ago

Sr Salesforce Health Cloud Data Engineer

Cook Systems Dallas, TX 🇺🇸 Remote

Dallas, TX

1mo ago Closed

Full time Senior Azure Azure Data Factory

This position is no longer accepting applications (closed Jun 18, 2026).

Job Description

In Dallas with remote flexibility, Cook Systems is seeking a Senior Salesforce Health Cloud Data Engineer to design and build ETL jobs and cross-system data integrations across the full development lifecycle. The role partners with Salesforce Architects and Application Development teams to ensure bidirectional data movement using Salesforce Data Loader and Azure tools, while upholding HIPAA privacy and federal security policies.

Responsibilities

Collaborate with Salesforce Architects to design data models for Salesforce repositories aligned with the overall solution architecture.
Maintain data integrity and accuracy within the Salesforce HealthCloud environment.
Ingest, validate, and process incoming data, applying business rules and integrating within Salesforce.
Develop and coordinate unit and integration test plans; perform testing and evaluate results.
Design, implement, and maintain code for Salesforce data integration activities with third-party applications.
Deploy changes and provide post-implementation user and system support.
Identify opportunities for data-driven improvements and advocate for beneficial changes.
Identify, analyze, and resolve critical data issues while ensuring compliance with security policies.

Requirements

Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, or a related field, or equivalent database development experience.
U.S. Citizenship with the ability to obtain a favorable DoD background investigation.
5+ years of experience in a Data Engineering role.
2+ years of experience with Azure.
3+ years of experience developing data integration source code in SQL or an equivalent language.
Experience with ETL involving structured and semi-structured data.
Experience gathering business requirements from cross-functional teams.
Familiarity with SDLC processes and DevOps practices.
Preferred: 2+ years of experience with Databricks, Python, Data Governance, Azure Data Factory, Microsoft SSIS, SQL Server, and Snowflake in Azure Cloud.

Technologies

Salesforce Health Cloud, Salesforce Data Loader, Salesforce
Azure, Databricks, Python
Azure Data Factory, Microsoft SSIS, SQL Server, Snowflake, SQL

Benefits

Your Health, Your Way: Choose from two comprehensive medical plans through Blue Cross Blue Shield, with dental and vision coverage included, plus access to a large provider network for quality care.
Peace of Mind: Life, critical illness, and accident insurance through Unum.
Flexibility for Life: Flexible Spending Account and Daycare FSA through Navia to help manage healthcare and dependent-care expenses.
Extra Protection When You Need It: Health Gap Insurance through Sun Life.
Your Future Starts Now: 401(k) plan through The Standard, eligible after six months.

Working Conditions

Works non-standard hours as required.
Standard office environment with less than 10% travel.
Extensive computer work with prolonged periods of sitting.
Remote work eligible per TriWest telecommuting policy with periodic office attendance as needed.

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1mo ago

Data Engineer II, Analytics Delivery Services (ADS)

Amazon.com Services LLC Dallas, TX

Dallas, TX

1mo ago Closed

$132k - $179k/yr Full time Analytics AWS Aws Glue

This position is no longer accepting applications (closed Jun 15, 2026).

Job Description

Data Engineer II, Analytics Delivery Services (ADS) at Amazon.com Services LLC is based in Dallas and works onsite to design and optimize scalable data solutions for Employee Relations data. The role centers on owning data pipelines and data models, while enabling secure, scalable access to data for cross-functional teams across the organization.

Responsibilities

Collaborate with senior engineers to model and implement data pipelines that move employee-related data across middle and last mile data flows.
Own the end-to-end delivery of data models and pipelines.
Plan and manage project timelines and delivery commitments to ensure progress stays on track.
Support the ongoing recruitment and development of technical talent, both directly and indirectly.
Develop and execute quality plans, project plans, testing strategies, and related processes in alignment with business and project management efforts.
Maintain the in-house cluster and continually improve cluster health through alerts and essential capabilities.

Requirements

3+ years of data engineering experience.
1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
1+ years developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
1+ years developing and operating large-scale data structures for business intelligence analytics using data modeling.
1+ years developing and operating large-scale data structures for business intelligence analytics using SQL.
1+ years developing and operating large-scale data structures for business intelligence analytics using Oracle.
Experience with data modeling, warehousing, and building ETL pipelines.