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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
Qualifications:
Required:
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
Company:
LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors. Founded in 1996, the company is headquartered in Mumbai, Maharashtra, IND, with a team of 10001+ employees. The company is currently Late Stage. LTIMindtree has a track record of offering H1B sponsorships.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Marketing
Industries Software Development
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Inferred from the description for this job Medical insurance
Vision insurance
401(k)
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