Value Data Engineer

About this role

Not quite right? These jobs in Bhubaneswar match the same skills — apply to a few to improve your chances.

EV - Product Specialist

Tata Motors

In OfficeBhubaneswar

Apply

Std- Customer Support Manager

Tata Motors

In OfficeBhubaneswar

Apply

Credit Manager-Working Capital-Credit

Kotak Mahindra Bank

In OfficeBhubaneswar

Apply

Sales Executive - Coronary Vascular

Medtronic

RemoteBhubaneswar

Apply

Skills you'll use

What you'll do

• Pre-sale opportunity sizing:   Gather publicly available data on prospects (sector, scale, format, geography), using AI-assisted research and data-enrichment tools to do this efficiently and at scale, and run early-stage, directional value calculations tied to the financial and business pressures Logile's platform addresses, to support the sales and pre-sales process.
• Deeper value case development:   Use prospect-provided data to develop a deeper, defensible value case, including detailed payback timelines,   establishing   and maintaining   Logile's   value   methodology, workshops,   baselines   and business-case standards as CX's custodian of value data.
• Operational value insight:   Interrogate live customer system data to surface value opportunities and operational insight — including forecast accuracy, schedule effectiveness, labor productivity, production   output   and waste reduction.
• Usage and adoption insight:   Interrogate platform usage data to assess whether customers are using the full breadth of   Logile's   functionality, and using it effectively, feeding this into the CSM's adoption and customer health view.
• Post-launch value realization:   Partner directly with customers, alongside the CSM, to measure and   evidence   value realized against the original business case after go-live — supporting QBR reporting, renewal   readiness   and expansion conversations.
• Key Relationships
• The role is embedded in CX and works cross-functionally in support of the Account Management Charter's "one aligned customer narrative":
• How they work together
• Account Manager (incl.   Pre-Sales)
• Receives early-stage, directional value sizing to support pre-sales qualification, plus the evidenced value and ROI data that underpins renewal readiness, commercial risk   visibility   and expansion narratives.

Who can apply

• Bachelor's degree in computer science, engineering, data analytics, or   commensurate   work experience.
• 5-8   years of experience as a Data Engineer, Analytics Engineer, or similar role, ideally with some exposure to commercial, financial or value-analytics work.
• Strong SQL and Python/R; experience building and maintaining ETL/ELT pipelines against large structured and unstructured datasets.
• Writing scripts for statistical analysis, handling API requests from customer platforms, or executing predictive models.
• Experience with BI/analytics and dashboarding tools (e.g. Power BI, Tableau,   Looker) to turn operational data into clear value and ROI narratives for commercial and customer-facing audiences.
• Comfortable using AI-assisted research and data-enrichment tools (e.g. LLM-based web research, enrichment platforms) to gather and structure public prospect data efficiently and accurately at the early sales stage.
• Working knowledge of financial or business-case modelling concepts (ROI, payback period, TCO) is a strong plus.
• Familiarity with a retail data ecosystem is a strong plus — forecasting, scheduling, labor, inventory, or store-operations data.
• Working experience with a cloud platform (Azure,   AWS   or GCP).
• Comfortable working directly with prospect- and customer-provided data under   appropriate data-handling   and confidentiality practices.

About Logile

Searching for “Logile jobs” or “jobs at Logile”? You’re in the right place.