From Aisle to Algorithm and for All Life’s Moments, at David’s Bridal, we empower our customers and our employees to stay true to their dreams and find the one, whether that means the event or the wedding dress that matches a personal style—or the career that is a perfect fit. Join a company that dominates the products in their category – 1 out of 3 being sold by them and taking care of them with one of the highest customer service scores in retail!

If you are passionately enthusiastic, endlessly curious, and customer obsessed, say “I do” and apply today!

We are looking for a Data Analyst who doesn't just answer questions — they can't stop asking them. You're the kind of person who pulls a report, spots something slightly off in row 47, and four hours later has uncovered a trend nobody knew existed. You're technically sharp enough to build what you need and curious enough to keep digging until the story is clear.

This role sits at the intersection of rigorous analysis and modern AI. You will use LLMs, automation pipelines, and AI-assisted tooling to dramatically accelerate insight generation — but the engine behind it all is genuine intellectual curiosity and the drive to understand why, not just what.

You will partner closely with product, marketing, operations, and leadership — not just to answer the questions on their roadmap, but to surface the ones they haven't thought to ask yet.

Built for analysts who are technically fluent and genuinely curious

The ideal candidate writes clean SQL and elegant Python — and also loses sleep over unexplained dips in conversion. You'll wield AI tools not because it's trendy, but because you want to spend more time on the interesting parts: the patterns, the hypotheses, and the so what.

Core analysis & insight generation

• Dig into data with genuine curiosity — follow threads, challenge assumptions, and don't stop at the surface-level answer
• Design and execute investigations that surface non-obvious insights, not just metric summaries
• Build and maintain SQL queries, Python scripts, and data models to support recurring and ad-hoc analysis
• Own key performance dashboards and proactively flag when something looks interesting — or wrong

AI-augmented workflows

• Use LLM APIs (e.g., Claude, GPT) to automate insight generation, narrative writing, and anomaly detection
• Build natural language interfaces that allow non-technical stakeholders to query data without SQL
• Design and maintain AI-powered reporting pipelines that deliver weekly/monthly commentary automatically
• Develop and test prompts for structured data extraction, classification, and summarization tasks

Stakeholder communication

• Turn complex findings into clear, compelling narratives — you make people care about the data, not just read it
• Come to meetings with a point of view, not just a chart; be willing to say what the data actually means
• Partner with business teams to frame the right questions — and push back when the wrong questions are being asked

Data infrastructure & governance

• Collaborate with data engineering to define and document data models, transformations, and quality standards
• Contribute to the team's data catalog and ensure analytical assets are documented and reproducible
• Advocate for data quality, consistency, and governance across the organization

Required

• 3–6 years in a data analyst or analytics engineer role — you've seen enough data to know when something doesn't add up
• Advanced SQL — complex joins, window functions, CTEs; you write queries other analysts learn from
• Strong Python — pandas, numpy, visualization; comfortable moving from notebook to production-ready script
• Demonstrated use of AI/LLM tools to accelerate analysis, automate reporting, or build smarter workflows
• A track record of finding insights that weren't in the original brief — proactive, not just reactive
• Strong written communication — you can write a two-paragraph summary that makes a VP care about a cohort analysis
• Statistical fundamentals — hypothesis testing, regression, cohort analysis, knowing when correlation isn't causation

Preferred

• Experience with dbt, Airflow, or similar data transformation/orchestration tools
• Familiarity with cloud data warehouses — BigQuery, Snowflake, Redshift, or Databricks
• Hands-on experience calling LLM APIs and building AI-assisted workflows
• Exposure to machine learning — feature engineering, model evaluation, working with data scientists
• Experience with RAG pipelines, embeddings, or vector search for analytics use cases

• Competitive salary commensurate with experience
• Flexible hybrid work arrangement — 2–3 days in office per week
• A culture that values curiosity — asking why is celebrated, not deflected
• Access to cutting-edge AI tools and a team that actively encourages experimentation
• Dedicated budget for courses, conferences, and certifications
• Direct exposure to senior leadership and real ownership over insights that drive strategy
• Opportunity to shape the AI analytics approach of a growing organization

Now that we’ve popped the question, please say “I do”.

Full Time Opportunity – A comprehensive benefits package is available.

• Rewarding Environment and Competitive Pay
• Generous Dream Maker Discount After First Pay Period
• Referral Incentive Program
• Dayforce Wallet – Get Paid Early!
• Health/Dental/Vision Insurance
• 401K Program
• Paid Vacation, Wellness Days & Holidays, including your Birthday off!
• Pet Benefits

Love wins when love is for Everyone!

Our mission at David’s Bridal is to embrace the ideas of Diversity, Equity, and Inclusion. It is our goal to build a workforce that is as representative as the customers we serve. We vow to create a culture where all forms of diversity are celebrated and seen as valuable. 

David’s Bridal encourages applications from all qualified candidates. David’s Bridal has a great record of accommodating persons with disabilities. Contact Human Resources at humanresources@dbi.com or 610.943.5048 if you need accommodation at any stage of the application process or want more information on our accommodation policies.

Policy: Candidate Use of AI in Live Interviews

We conduct interviews to evaluate each candidate’s own knowledge, judgment, and communication. During any live interview (virtual or in-person), candidates must not use real-time generative AI tools to compose or feed their answers. Candidates may use assistive technologies (e.g., screen readers, live captions) and may request reasonable accommodation in advance.

Disclaimer: The preceding job description has been designed to highlight the general nature and level of work performed by employees within this classification.  It is not designed to contain or be interpreted as a comprehensive description of all duties, responsibilities and qualifications required of employees assigned to this job.  Actual duties and responsibilities will vary. The standard base pay range for this role is posted at a minimum and maximum rate.

The starting rate of pay offered will vary based on factors including, but not limited to, position offered, location, training, and/or experience, and internal equity. This base pay range is specific to the state this role is posted in and may not be applicable to other locations. At David’s Bridal, it is rare for an individual to be hired at the high end of the range in their role, and compensation decisions are dependent upon the details and circumstances of each position and candidate.