Dallas, TX

Data Jobs in Dallas, TX

8 jobs found

Include remote jobs

4d ago

Data Analyst II, Strategic Pipelines (226 Days)

Dallas Independent School District Dallas, TX

Dallas, TX

4d ago

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

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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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8d ago

Financial Modeling & Data Analytics Senior Consultant

Deloitte Dallas, TX

Dallas, TX

8d ago

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

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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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12d ago

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

EY Dallas, TX

Dallas, TX

12d ago

$157k+/yr Full time Manager Analyst Analytics

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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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18d ago

Sr Salesforce Health Cloud Data Engineer

Cook Systems Dallas, TX 🇺🇸 Remote

Dallas, TX

18d ago

Full time Senior Azure Azure Data Factory

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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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22d ago

Data Engineer II, Analytics Delivery Services (ADS)

Amazon.com Services LLC Dallas, TX

Dallas, TX

22d ago

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

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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.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM
Oracle
SQL

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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30d ago

Analytics Engineer III (Microsoft Fabric, Power BI)

Children's Health Dallas, TX 🇺🇸 Remote

Dallas, TX

30d ago

Full time Analytics Business Analytics Cloud

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Job Description

Children's Health seeks an Analytics Engineer III to lead analytics engineering at scale within complex healthcare domains. The role involves designing semantic and product solution architectures, embedding governance, and mentoring teams. The successful candidate will collaborate with operational stakeholders, product team members, and data stewards to deliver analytics products and analytics-ready data assets for clinical and operational domains across the organization.

Responsibilities

Create and structure datasets that are ready for analytics
Design and maintain semantic layers, metrics stores, and data marts
Apply data engineering best practices to analytics, including version control, CI/CD, and environment management
Collaborate with BI analysts, data scientists, and domain stakeholders to operationalize analytics products
Ensure alignment with governance standards and data quality requirements

Requirements

Minimum six years in data engineering, analytics engineering, or analytics platform roles with proven experience in semantic architecture, metrics stores, and production CI/CD
At least six years of deep expertise in metrics stores, semantic layer design, knowledge graph/ontology concepts, advanced SQL, Python, production orchestration, and platform experience (Snowflake, Databricks, MS Fabric) with BI tool optimization
Six years of experience embedding analytics and AI governance controls into architecture (logging, monitoring for drift, access controls, traceability) and collaboration with ARBs for regulated or AI-enabled analytics products
Six years of leadership and project management skills with a strategic vision for analytics engineering
Six years of strategic domain ownership, stakeholder influence, ability to articulate ROI and value, and experience mentoring/leading technical teams while representing analytics engineering in architecture and governance forums

Technologies

Microsoft Fabric
Power BI
Snowflake
Databricks
SQL
Python

Education

Four-year Bachelor's degree or equivalent experience in Computer Science, MIS, Engineering, or a related field is required.

Licenses and Certifications

Analytics related certifications (for example, Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan to obtain missing certifications. If offered, the plan must be provided and relevant certifications must be obtained within 180 days of starting.

Benefits

Employee portion of medical plan premiums are covered after 3 years
4% to 10% employee savings plan match based on tenure
Paid Parental Leave (up to 12 weeks)
Caregiver Leave
Adoption and surrogacy reimbursement

Holistic Benefits – How We Care For You

Employee portion of medical plan premiums are covered after 3 years
4% to 10% employee savings plan match based on tenure
Paid Parental Leave (up to 12 weeks)
Caregiver Leave
Adoption and surrogacy reimbursement

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30d ago

Analytics Engineer II (Epic Cogito, Power BI)

Children's Health Dallas, TX 🇺🇸 Remote

Dallas, TX

30d ago

Full time Analyst Analytics Business Analytics

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Job Description

The Analytics Engineer II role centers on owning analytics artifacts across domains, building semantic layers and metric stores, and enabling federated domain adoption with governance and data quality in mind.

Responsibilities

Model analytically ready datasets and design or maintain semantic layers, metrics stores, or data marts; apply analytics engineering best practices (version control, CI/CD, and environment management); partner with BI analysts, data scientists, and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements.

Requirements

Minimum 3 years in analytics or data roles with demonstrated delivery of analytics artifacts; hands-on experience with dbt or similar analytics engineering tools; practical usage of CI/CD and workflow orchestration.
3+ years of advanced SQL and experience with dbt or equivalent transformation frameworks; familiarity with metrics store concepts and basics of knowledge graphs or ontologies for semantic enrichment where applicable.
3+ years implementing CI/CD for analytics, automated testing, environment promotion, and metadata/catalog integration.
3+ years with at least one cloud data platform (Snowflake, Databricks, or MS Fabric) and BI tool optimization experience (Power BI or Tableau performance tuning).
1+ year exposure to machine learning, data science, or AI concepts (preferred).
1+ year experience in healthcare or another regulated industry (preferred).
Design and implement semantic layer components such as metrics store objects, analytical models, and data marts to support domain KPIs and BI consumption.
Implement automated testing and CI/CD pipelines, with deployment promotions for analytics products; own environment management for domain artifacts.
Lead data quality monitoring for analytics products; collaborate with data stewards to remediate issues; maintain metadata and lineage in the data catalog.
Optimize query and semantic performance for BI tools; apply best practices to reduce dashboard sprawl and metric inconsistencies.
Collaborate with clinical and operational stakeholders to translate workflows and EHR/ERP data into repeatable analytics products, such as procedure-level cost and outcomes dashboards and inventory visibility reports.
Engage across domain areas (clinical, financial, or supply chain); facilitate stakeholders and solve problems effectively.
Translate business KPIs into reproducible metrics-as-code and communicate technical concepts to a diverse range of stakeholders; mentor junior engineers.
Work with EHR/clinical data and supply chain/ERP data sources; follow interoperability expectations (FHIR/HL7 awareness) for clinical integrations; support clinical analytics and supply-chain analytics as relevant.
Maintain version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging, and performance testing to improve uptime, adoption, code quality and defect resolution.
Adhere to organizational data governance, privacy and security requirements including HIPAA-relevant controls; collaborate with governance or ARB when analytics or AI artifacts are used in clinical or high-risk contexts.

Technologies

Epic Cogito
Power BI
dbt
Snowflake
Databricks
MS Fabric
Tableau

Benefits

Employee portion of medical plan premiums are covered after 3 years.
4% to 10% employee savings plan match based on tenure.
Paid Parental Leave (up to 12 weeks).
Caregiver Leave.
Adoption and surrogacy reimbursement.

A PLACE WHERE YOU BELONG

We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children’s Health a place where everyone can contribute.

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30d ago

Asset&Wealth Management-Senior Cloud Data Engineer-Vice President

Goldman Sachs Dallas, TX

Dallas, TX

30d ago

Full time Senior Ai Workflows Analytics

Data Jobs in Dallas, TX

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