Senior Marketing Data Analyst

Jobright.ai

Irving (TX)

On-site

USD 125,760 - 188,640

Full time

14 days+

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Benefits offered by this job

Medical insurance
Vision insurance
401(k)

Job summary

A leading AI-powered career platform is seeking a Senior Marketing Data Analyst to enhance data analysis efforts and support strategic decision-making. The position involves analyzing sales trends, developing dashboards, and driving actionable insights through collaboration with various teams. Ideal candidates will have substantial experience in data analysis, statistical methods, and proficiency in tools such as Power BI and Excel, with a compelling ability to present findings effectively.

Qualifications

  • 8-10 years of experience relevant to data analysis and marketing.
  • Proficiency in statistical methods and dashboard development.
  • Ability to present insights and recommendations clearly.

Responsibilities

  • Analyze POS and transaction log data to identify trends and patterns.
  • Develop dashboards to monitor performance and drive insights.
  • Collaborate with teams to execute data-driven strategies and quality improvements.

Skills

Data analysis
Statistical methods
Dashboard development
Data storytelling

Tools

Power BI
Excel
PowerPoint

Job description

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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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