About role: We are seeking a dynamic and results-driven Operations Analytics Specialist. The ideal candidate will leverage advanced data analytics to drive operational efficiency, improve decision-making, and support strategic objectives across the organization. This role demands strong technical expertise, problem-solving skills, and a passion for transforming data into actionable insights.
Purpose
Objective is to help operations team take a smooth drive in
Transit time mapping, Network routing and optimization
Fleet optimization
Control tower & predictive performance management
Shipping performance analysis
To achieve that, Individual should be able to
Work closely with business/functional heads to identify and prioritize business needs
Handle large datasets (structured and unstructured)
Identify, analyse and interpret trends or patterns in complex data sets using statistical techniques and generate actionable insights
Understand how machine learning can help solve business problems
Understand the logistic situation/issues/problem in India and identify how analytics solutions/products can solve it
Key Responsibilities
Data Analysis & Insights: Analyse large and complex datasets to identify trends, patterns, and actionable insights that enhance operational efficiency and cost savings.
The role helps in developing business models; assisting with process digitization; publishing new/existing KPIs performance; address queries from regions on aforesaid work-areas; reconciling any difference of views with regions/HO teams; continually refine the models for more actionable insights
Process improvement & Optimization: Utilize Databricks, Python, and SQL to develop scalable data solutions, data analytics, and enhance process efficiency through automation.
Dashboards & Reporting: Develop and maintain interactive dashboards and reports using Power BI to support data-driven decision-making across departments.
KPI Development & Tracking: Design and implement mechanisms to track key performance indicators (KPIs) to ensure continuous improvement.
Collaborative Problem-Solving: Work closely with regional teams to identify challenges and provide analytics-driven solutions.
Experience/ Skill requirements:
Proficiency in data analytics tools and programming languages, including Python, SQL Familiarity with Azure Synapse Analytics and Azure Databricks
Expertise in data visualization and dashboarding using Power BI.
Strong analytical mindset with a proven ability to handle large datasets and derive actionable insights.
Excellent communication and presentation skills to convey complex data insights to diverse stakeholders.
Prior experience in optimizing supply chain operations or similar domains is preferred.
Educational Qualifications:
Bachelor’s or Master’s Degree in Data science/ Analytics/ Statistics
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