557 Deployment Analyst jobs in Dallas,TX

Our Base Pay Range for this position

$114,200 - $190,400

This is a hybrid position

The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent experience

7+ years of experience as a BI Engineer, Data Analyst, Analytics Engineer, Data Engineer, or a related occupation delivering BI, analytics, and reporting solutions

Expert SQL

Data modeling and design

BI and visualization: advanced Power BI and Tableau

ETL/ELT and pipelines: hands-on experience programming to extract, transform, and clean large datasets, and building scheduled, monitored pipelines in tools such as Databricks, Microsoft Fabric, Azure Data Factory, or Snowflake

Scripting for automation: proficiency in Python or a similar language for data transformation and automation

Workflow automation: Power Automate, Power Apps, or comparable low-code tooling for reporting workflows

AI-enabled analytics (differentiator): applying LLM and GenAI capabilities to BI: automated narrative generation, conversational analytics, and agent-ready semantic layers

Executive tooling: advanced Excel and PowerPoint for analysis and executive storytelling

Demonstrated ability to establish business logic and metric definitions that turn raw data into trusted, consumable reporting

Experience communicating and presenting analytical results to senior leadership

Strong analytical skills with the ability to translate data into actionable insights

Demonstrated organizational and prioritization abilities

Ability to navigate ambiguity and deliver independently in a fast-paced transformation environment

Working knowledge of core finance concepts (ROI, forecasting, variance-to-plan, business-case and P&L; mechanics) and direct experience partnering with a finance or FP&A; team to translate financial methodology into data logic

Demonstrated ability to operate as the sole technical IC on a team, without a dedicated BI or data engineering organization to lean on for support, review, or troubleshooting

Experience supporting large-scale transformation programs, PMO or value-realization analytics, or benefit tracking for strategic initiatives

Hands-on experience with Databricks, Microsoft Fabric, Azure data services, or Snowflake

Experience embedding GenAI or AI-agent capabilities into analytics solutions, such as automated narratives, conversational BI, or semantic layers for agents

Exposure to SAP/ERP data and enterprise source systems, including S/4HANA migration environments

Experience with the theory and practice of design of experiments and statistical analysis of results

Experience enabling governed self-service analytics and establishing data and reporting SLAs

Healthcare, pharmaceutical distribution, or other regulated-industry experience is a plus

Agile delivery experience and strong documentation habits

PowerPoint creation and executive storytelling

$55,700-$80,000 / year

Annual bonus based on performance and eligibility

Medical, Dental and Vision

Paid Time Off

401(k) program with employer match

Child & Elder Care

Adoption Benefits

Paid Parental Leave

Fertility Benefits

Employee Resource Groups

Breastmilk Shipping Services

Dependent Scholarship Program

Tuition Reimbursement

Education Assistance

Employee Assistance Program

Personalized Wellness Platform

Mileage Reimbursement and more!

Bachelor's degree in Business, Supply Chain, Finance, Analytics, or related field

2–5 years of experience in analytics, operations, supply chain, or related role

Strong analytical skills with proficiency in Excel, Power BI, or similar tools

Ability to translate complex data into clear insights and actionable recommendations

Strong attention to detail and data accuracy

Effective communication skills with ability to work cross-functionally

Ability to manage multiple priorities and meet deadlines in a fast-paced environment

Experience with inventory, supply chain, or DSD operations preferred

Comfort working with large datasets and identifying trends and root causes

Minimum: $90,000.00 USD

Maximum: $170,000.00 USD

Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required

5+ Years Analytics in Financial Services Industry. - Required.

5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.

5+ Years Prior experience developing credit scoring models preferred. - Preferred.

Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.

Prior experience working with credit bureau data.

Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.

Demonstrated ability to use SQL and SAS to extract data from multiple data sources.

Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.

Demonstrated ability to create complex pivot tables in MS Excel.

Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.

Ability to translate analysis into a clear business plan.

Strong written and verbal communication skills.

Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.

Ability to maintain confidentiality..

Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred

5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.

5+ Years Prior experience developing credit scoring models preferred. - Preferred.

No Certifications listed for this job.

Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.