Data Analyst

Title: Marketing Data Analyst (F

Location: Irving, TX Onsite

• Skills
• Databricks
• Pyspark
• Azure cloud
• Dataiku
• Power BI
• Retail

• Analyse POS and transaction log data to uncover sales trends and customer behaviour patterns
• Apply statistical methods like causal inference anomaly detection and forecasting to drive insights
• Develop dashboards and KPI frameworks to monitor promotions pricing store product and category performance
• Translate complex analyses into clear actionable recommendations for business teams
• Identify and address data quality issues such as missing fields or inconsistent identifiers
• Partner with retail marketing finance and category teams to deliver impactful analytics projects
• Tackle ambiguous problems using hypothesis driven analysis and iterative refinement
• Conduct deep dives into transaction data to diagnose performance issues and inefficiencies
• Collaborate with engineering teams to define and improve data feeds and models
• Validate incoming data to ensure it meets analytical and business requirements
• Convert business questions into structured analytical approaches with clear performance metrics
• Present insights in a compelling story driven format to business audiences including executives
• Align retail analytics with broader strategic goals through data storytelling and frameworks
• Identify long term trends and risks in customer and store performance to inform planning
• Map the full retail transaction lifecycle to pinpoint bottlenecks and opportunities
• Deliver structured recommendations using visual tools like PowerPoint Power BI or Excel

• Create a promotion performance framework Index Work In Progress
• Enablement of experimentation AB or multivariate testing in coordination with machine learning deployment
• Implementing data governance and data strategy in the promotions space
• Improving data quality in coordination with data engineering
• Longterm
• Enablement of scalable personalization in coordination with enterprise data group
• Some more detail on the above
• Create a framework for promotion performance that measures impact to business beyond basic redemption data Lowell from RPM team has been assisting with forming a Promo Performance Index which is a method to compare performance across categories and areas
• I anticipate the analyst role to take ownership of that framework and continually refine it Help lead the effort with the product team to unlock understanding and levers action steps for business users to drive improvements in performance metrics
• Questions we need to answer as an organization are promotions making any difference in sales or would customers baskets remain unchanged
• Create clarity for and provide leadership in end-to-end data integrity data governance and data strategy as it relates to retail promotions landscape with personalization as the end goal for merchandising marketing
• Ideally the analyst would have an understanding and perhaps practical experience in utilizing machine learning for any data set particularly as vast an ocean as retail sales and promotions

Skills

Mandatory Skills : ERWIN, MS SQL Server, TOAD Data Modeler, Data Vault (ODS) Modelling, ANSI-SQL, Dimensional Data Modelling, ER Studio, Microsoft Fabric, Google Cloud Platform Big Query, Redshift, Snowflake, Databricks, TOAD

Regards,
Chindhu Prasad | Recruitment Executive
Galent (Formerly Diamondpick)
Phone: +1
LinkedIn: