7 District_DM_Data Manager

Responsibilities

Analyze large volumes of retail data using Databricks and related tools to extract actionable insights

Build, manage, and optimize data pipelines/workflows for efficient processing and reporting

Apply statistical analysis, machine learning, and predictive models for retail use cases

Develop dashboards and reports (Databricks, Power BI, Tableau) for real-time decision-making

Ensure data quality, accuracy, and consistency across all reporting outputs

Analyze key retail metrics: sales, inventory, pricing, promotions, and customer behavior

Develop advanced analytics solutions (customer segmentation, forecasting, inventory optimization)

Work with stakeholders to gather requirements and translate business needs into data-driven solutions

Collaborate cross-functionally with data engineers, data scientists, and business teams

Present insights and recommendations clearly to stakeholders and leadership

Requirements & Qualifications

Strong expertise in retail domain: KPIs, sales performance, customer churn, pricing, inventory, omni-channel (e-commerce & in-store)

Deep understanding of retail operations and ability to translate business challenges into data solutions

Proven ability to identify trends, patterns, and provide actionable recommendations to improve business performance

Solid business analysis & stakeholder management skills:

Gather and define business requirements

Translate business needs into data/analytical solutions

Communicate complex technical concepts to non-technical stakeholders

Strong collaboration skills; ability to work with cross-functional teams and mentor junior members

Excellent communication & presentation skills:

Present insights clearly to stakeholders and executives

Deliver reports supporting strategic decision-making

Provide timely updates and articulate business impact

Technical skills:

Databricks (strong experience in big data processing)

SQL, Python, or Scala

BI tools: Power BI, Tableau

Data pipelines, ETL, and data modeling

Advanced analytics: forecasting, statistical modeling, machine learning

Cloud platforms (Azure, AWS, GCP) is a plus

Education: Bachelor’s or Master’s in Data Science, Business Analytics, Computer Science, Mathematics, or related field

Experience:

5+ years in data analysis, preferably in retail industry

Strong hands-on experience with Databricks and big data tools