Operations Analytics Specialist, HQC
Blue Dart
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Benefits offered by this job
Job summary
Blue Dart Express Limited is seeking an Operations Analytics Specialist to leverage data, analytics and advanced technology to enhance operational efficiency and decision-making across regional and Head Office teams.
The role involves building scalable analytical solutions, dashboards, and KPI monitoring using Python, SQL, Spark/PySpark and Azure Databricks, with 3–5 years of data analytics experience in logistics.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Analytics, Statistics.
- 3-5 years of experience in data analytics, preferably in supply chain, logistics, transportation, or operations.
- Experience with data analytics, predictive analytics, or machine learning in logistics is desirable.
Responsibilities
- Analyze large and complex operational datasets to identify trends, gaps, opportunities, and root causes.
- Translate data into actionable insights and recommendations to support operational and business decisions.
- Conduct exploratory, diagnostic, and advanced analytics to identify opportunities for improvement.
- Develop analytics reports, dashboards, performance views, and decision-support tools for reviews.
Skills
Education
Tools
Job description
Blue Dart Express Limited, a listed company, isa leader in courier, integrated air express package distribution, and eCommerce in South Asia, offering a wide range of logistics solutions. Founded in 1983, it is recognised for reliable, time-bound, and secure delivery services across 55,000+ locations in India as well as internationally. Its competencies span across evaluation and contracting, planning and transition, delivery and execution, and specific service capabilities. We pride ourselves on innovation, digitalization, service excellence, and creating long-term partnerships with our clients, enabling businesses to thrive in the fast-paced logistics environment and ever-evolving supply‑chains. It wholly‑owns India’s only scheduled air cargo airline, Blue Dart Aviation Limited, since May 1994, and the Concorde Air Logistics Limited, a transport, storage, and communications business, since May 2004. Blue Dart Express Limited is a part of the DHL Group’s DHL eCommerce division, leveraging this global logistics leader’s network across 220 countries and territories to provide comprehensive express and logistics solutions to our clients. Our robust network and unmatched infrastructure have positioned the Blue Dart brand as a key India‑grown logistics player with an unmatched and phenomenal global outreach rooted in the DHL brand of its majority shareholder. We are proud to be consistently ranked among India’s Top 100 Great Places to Work, combining it with DHL Group’s Top Employer certification. Being an Employer of Choice is not just a goal; it’s a fundamental part of who we are, committed to creating a workplace where people are valued, empowered, and wear the sobriquet "Blue Darter" with honour. If you are looking to join a purpose‑led, people‑first, company that shapes India’s supply‑chains with integrity and safety, Blue Dart is where you belong. Blue Dart offers competitive compensation and comprehensive benefits, access to cross‑functional, succession planning and global career paths, and strong culture of recognition.
Operations Analytics Specialist
Operations
Manager - Operations Advanced Analytics
Head Office
25% 50% 75%
The Operations Analytics Specialist is responsible for leveraging data, analytics, and advanced technology to improve operational efficiency, productivity, and decision‑making. The role will work closely with regional and Head Office teams to analyze complex operational data, identify improvement opportunities, develop scalable analytical solutions, and enable data‑driven performance management across operations.
To drive operational excellence through data analytics, business modelling, process optimisation, and advanced analytics. The role will convert complex operational data into actionable insights, develop analytical and predictive solutions, establish effective KPI mechanisms, and support regions and business stakeholders in making informed decisions that improve efficiency, productivity, service quality, and cost effectiveness.
- Analyze large and complex operational datasets to identify trends, gaps, opportunities, and root causes.
- Translate data into actionable insights and recommendations to support operational and business decisions.
- Conduct exploratory, diagnostic, and advanced analytics to identify opportunities for improvement.
- Develop business models, analytical models, and scalable data solutions to address operational requirements.
- Build solutions using Python, SQL, Spark/PySpark, and Azure Databricks.
- Support the development and implementation of data‑driven solutions aligned with business objectives.
- Identify opportunities to improve operational processes through data analysis and analytics.
- Develop analytics‑driven interventions to improve productivity, efficiency, and cost effectiveness.
- Support process digitisation and automation initiatives to reduce manual effort and improve process accuracy.
- Develop analytical reports, dashboards, performance views, and decision‑support tools for operational reviews.
- Provide timely insights to regional and HO stakeholders to support performance management and business decisions.
- Ensure analytical outputs are relevant, accurate, scalable, and aligned with stakeholder requirements.
- Establish and maintain mechanisms to monitor key operational KPIs and performance trends.
- Identify performance gaps and provide data‑backed recommendations for corrective actions.
- Support continuous improvement through regular KPI tracking and analytics‑led reviews.
- Identify and develop predictive analytics and advanced analytics use cases relevant to logistics and operations.
- Apply statistical modelling and machine learning techniques, where appropriate, to anticipate operational trends and improve decision‑making.
- Deploy scalable analytics solutions with clearly defined business outcomes.
- Partner with regional and HO teams to understand operational challenges and translate them into analytics requirements.
- Resolve data and performance discrepancies in collaboration with relevant stakeholders.
- Provide analytics‑based solutions to regional queries within agreed timelines and SLAs.
- Explore new‑age analytics, automation, and machine learning applications to improve logistics operations.
- Identify opportunities to enhance analytics adoption and strengthen data‑driven decision‑making across the organization.
- Bachelor’s or Master’s degree in Data Science, Analytics, Statistics
- 3-5 years of experience in data analytics, preferably in supply chain, logistics, transportation, or operations domains.
- Prior exposure to supply chain optimisation, predictive analytics, statistical modelling, or advanced analytics is desirable.
- Working proficiency in Python, SQL, Spark/PySpark, and Azure Databricks
- Strong analytical and problem‑solving skills with the ability to work with large datasets and translate data into actionable business insights.
- Proven ability to develop analytical models, perform exploratory and diagnostic analysis, and deliver scalable data‑driven solutions
- Analytical Thinking – Strong problem‑solving mindset with attention to detail.
- Communication – Ability to simplify complex data insights for diverse stakeholders.
- Collaboration – Strong interpersonal skills to partner with cross‑functional and regional teams.
- Execution Excellence – Ability to deliver solutions under tight timelines.
- Innovation Mindset – Capability to explore new‑age analytics and machine learning for logistics.
Data Insight Delivery – ≥ 95% of identified operational decisions / business requirements supported with analytics
Process Optimization Impact – ≥ 10% efficiency improvement through analytics‑driven interventions annually
Analytics Adoption & Decision Support – ≥ 90% of identified stakeholders regularly using analytical outputs for operational reviews and decision‑making
Predictive & Advanced Analytics Deployment – ≥ 3 predictive / advanced analytics solutions deployed annually with defined business use cases
Regional Collaboration – 100% of regional queries addressed within SLA
When you join us, you’re not just taking a job—you’re becoming part of a purpose‑led movement that’s reshaping the future of logistics across India and the world. At Blue Dart, we don’t just deliver parcels—we deliver excellence, innovation, and opportunity every day.
Here’s what makes us stand out:
- Great Place to Work® Certified—a testament to our people‑first culture, inclusive environment, and commitment to your growth and well‑being.
- Competitive pay and performance‑linked rewards that truly recognise your impact.
- Structured learning, global exposure, and on‑the‑job coaching to help you grow faster than ever.
- Best‑in‑class benefits—from comprehensive medical cover (including optional parental care) to financial wellness and generous time off.
- A culture that celebrates diversity, innovation, and bold thinking—where your voice is heard and your contributions matter.
- Global career paths across the DHL Group, opening doors to opportunities in 220+ countries and territories.
- The pride of working with India’s most awarded logistics brand, trusted by millions and driven by purpose.
This is your chance to do meaningful work, build a career without borders, and thrive in a company that’s not just a logistics leader—but a Great Place to Work. Come grow with us.
At Blue Dart Express Limited, all recruitment is conducted through a fair, transparent, and merit‑based process aligned with our commitments to Human Rights and Diversity, Equity, Inclusion & Belonging (DEIB).
Blue Dart does not request or accept any fees, deposits, or payments from candidates at any stage of the recruitment or onboarding process. Any such request is fraudulent and unauthorized.
Blue Dart shall not be responsible for any loss arising from such fraudulent activity. For verification, candidates may write to bdjobs@bluedart.com.
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