Senior Marketing Data Analyst
Jobright.ai
Join to apply for the Senior Marketing Data Analyst role at Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the Senior Marketing Data Analyst role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: LTIMindtree is a company that focuses on delivering impactful analytics projects, and they are seeking a Marketing Data Analyst with engineering capabilities. The role involves analyzing POS and transaction log data, developing dashboards, and collaborating with various teams to drive insights and improve data quality. Responsibilities:
- Analyze POS and transaction log data to uncover sales trends and customer behavior 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 hypothesisdriven analysis and iterative refinement
- Conduct deepdives 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 storydriven format to business audiences including executives
- Align retail analytics with broader strategic goals through data storytelling and frameworks
- Identify longterm 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
- Enablement of scalable personalization in coordination with enterprise data group
- Create a framework for promotion performance that measures impact to business beyond basic redemption data
- 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
- 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
- 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
- 8 - 10 Years of experience
- Analyze POS and transaction log data to uncover sales trends and customer behavior 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
- Enablement of scalable personalization in coordination with enterprise data group
- Create a framework for promotion performance that measures impact to business beyond basic redemption data
- 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
- Understanding and perhaps practical experience in utilizing machine learning for any data set particularly as vast an ocean as retail sales and promotions
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