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At DigiExpress, data plays a key role in driving smarter decisions, improving operational efficiency, and supporting business growth. We're looking for an analytical and detail-oriented Senior Business Analytics Specialist to join our Analytics & Data Insight team.

In this role, you'll bridge the gap between business needs and data capabilities by translating complex business questions into measurable KPIs, actionable dashboards, and meaningful insights. Working closely with cross-functional teams, you'll help improve data visibility, reporting consistency, and data-driven decision-making across the organization.

Key Responsibilities

Business Analysis & Stakeholder Collaboration

Collaborate with Commercial, Finance, Product, Customer Experience, and BI teams to identify and prioritize business analytics and reporting needs.
Translate business requirements into measurable KPIs, reporting specifications, dashboard requirements, and clear acceptance criteria.
Analyze business processes and performance indicators to identify improvement opportunities and support informed decision-making.
Communicate analytical findings and recommendations clearly to business stakeholders.

Data Analysis & Performance Monitoring

Use SQL and Python to analyze business data, identify trends, investigate performance deviations, and generate actionable insights.
Monitor key business metrics and performance trends, identify exceptions, and highlight areas requiring management attention.
Validate data accuracy, investigate inconsistencies, and collaborate with relevant teams to resolve data quality issues.
Support business performance analysis through structured reporting and data-driven recommendations.

Dashboard Development & Reporting

Develop, maintain, and continuously improve business dashboards, scorecards, and recurring performance reports.
Design clear and user-friendly dashboards that effectively communicate business performance and key insights.
Standardize KPI definitions, reporting logic, filters, and calculation methodologies to ensure consistency across teams.
Improve reporting processes to enhance data accessibility, accuracy, and efficiency.

Data Enablement & Continuous Improvement

Promote self-service analytics by developing documentation, providing stakeholder guidance, and supporting dashboard adoption.
Collaborate with business and technical teams to improve data literacy and establish consistent reporting practices.
Identify opportunities to optimize analytical workflows, reporting standards, and data quality processes.

Requirements

Bachelor's degree in Industrial Engineering, Statistics, Computer Science, or a related field.
Relevant professional experience in Business Analytics, Business Analysis, Data Analytics, or similar roles.
Strong proficiency in SQL and Python for data extraction, manipulation, and analysis.
Proven ability to define KPIs, document business requirements, and translate business needs into analytical solutions.
Experience developing dashboards, performance reports, and data visualizations.
Good understanding of data quality validation, reporting logic, and metric standardization.
Strong analytical thinking, problem-solving skills, and attention to detail.
Ability to interpret complex data and communicate findings through clear reports and data storytelling.
Strong communication, stakeholder management, and cross-functional collaboration skills.
Excellent organizational skills, ownership, and ability to prioritize multiple business requirements.

Preferred Qualifications

Experience working in logistics, e-commerce, or technology-driven organizations.
Familiarity with shipment lifecycle, commercial funnels, customer segmentation, and profitability metrics.
Understanding of logistics performance indicators, including Service Level Agreements (SLA) and On-Time Delivery (OTD).
Experience supporting self-service analytics and improving business reporting practices.