4 Data mining Jobs in Delhi, NCR and Gurgaon | Data mining Job openings in Delhi, NCR and Gurgaon

IMMEDIATE JOINERS ONLY

Key Responsibilities:

1                   Data Flow Mapping & Lineage

2                   Design and produce end-to-end data flow maps for critical data items – from market source/core systems, through Data Lake staging, zone 2 and consumption zone 3, to downstream reporting, dashboards and analytics use cases.

3                   Document data lineage and transformations for critical data elements identified in the Master Data Requirements exercise, ensuring traceability that is audit-defensible and supports regulatory, governance and AI-readiness needs.

4                   Map data availability by country/Data Lake against the Product Hierarchy (to profit-centre level), building the consolidated Commercial Data Landscape view of what exists, where it sits (source only, staging, or consumption) and what is not captured at all.

5                   Document cross-system dependencies and cross-border data flows, flagging data residency, privacy and regulatory considerations to the appropriate governance forums.

6                   Data Inventory, Data Model Alignment & Gap Analysis

•                    Own and mature the data asset inventory, catalogue and data dictionary aligned to the consolidated Master Data Requirements Template – resolving “Not Specified”, “TBD” and “validation required” availability statuses through structured validation with Market IT and Data Engineering.

•                    Align business data requirements to the conceptual and logical data model of the target Data Lakehouse, ensuring the dependency between data model design and lineage tracking of critical data items is explicitly documented.

•                    Perform gap and hydration analysis by market and product, quantifying the scale of data that must be brought into the Data Lakes and providing sizing input to the Data Foundation Lead, DAE architects and Data Engineering delivery plans.

•                    Contribute to the Data Consolidation Plan towards a single source of truth, including recommended sequencing based on business priority (Top 200 fields, Horizon 1–3 priorities).

•                    Stakeholder Engagement & Workshops

•                    Work hand-in-hand with the Data Foundation Lead, Data & Analytics Programme Manager, Data Engineers, DAE/infrastructure architects, Local Market IT and Business stakeholders (Regional and Market) as the connective tissue between business data needs and technical implementation.

•                    Plan and facilitate structured interviews and cross-functional validation workshops with business, technology and data stakeholders to corroborate actual operating data flows against documented processes – establishing a fact-based, evidence-backed view rather than relying on documentation alone.

•                    Translate ambiguous business asks into clear data definitions, mapping rules and acceptance criteria that Data Engineering can build against, and play back findings to senior stakeholders in clear, visual, decision-oriented formats.

•                    Manage competing priorities across multiple markets with tact, keeping momentum in an environment of constrained capacity and differing local system landscapes.

•                    Governance, Ownership & Documentation

•                    Produce and maintain the Data Ownership & Accountability Matrix – mapping data owners, stewards and custodians per data asset and highlighting ownership gaps for remediation.

•                    Classify data assets by sensitivity and business function, aligning to Data Protection Policy, PDPA and applicable regulatory expectations (e.g. MAS guidelines) in partnership with Risk & Compliance.

•                    Ensure all data flow maps, lineage records and inventory artefacts are version-controlled, audit-ready and handed over cleanly into BAU data governance processes.

•                    Produce source to Datalake mapping document and data catalogue for missing data elements to complete Datalake hydration

Key Skills

•                    Data flow mapping and lineage documentation – proven ability to draw clear, accurate source-to-consumption data flow maps across complex multi-system, multi-market landscapes.

•                    Data architecture and modelling – strong grasp of conceptual/logical data models, data lake/lakehouse zone architectures (staging, conformed, consumption), data marts and MDM concepts.

•                    Data inventory, catalogue, dictionary and metadata management; familiarity with lineage/catalogue tooling (e.g. Purview, Collibra) and diagramming tools (e.g. Visio, ErWin, Lucidchart).

•                    Hands-on data profiling and validation skills (SQL essential) to verify what actually exists in source systems and lake zones.

•                    Strong stakeholder management – this is critical: able to build trust and drive outcomes across regional leadership, market business teams, Market IT and engineering, and to facilitate effective cross-functional workshops.

•                    Insurance domain knowledge – ideally commercial and specialty lines, with an understanding of policy, claims, reinsurance and underwriting data.

•                    Data quality, governance and privacy concepts, including cross-border data considerations.

•                    Clear written and visual communication – able to make complex data landscapes understandable to executives.

Experience & Qualification Requirements:

•                    8+ years’ experience in data architecture, data business analysis or information architecture roles, with at least:

•                    3+ years documenting data flows, lineage or data landscapes across multi-system / multi-market environments.

•                    Experience in Insurance or Financial Services, ideally within data foundation, data lake or data governance programmes.

•                    Demonstrated delivery of data inventory / data mapping / current-state data landscape assessments involving both business and IT stakeholders.

•                    Relevant certification (e.g. DAMA CDMP, TOGAF, cloud data platform certifications) preferred.

Power BI Developer-𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗶𝗻𝗶𝗻𝗴

Work Location: Noida (Hybrid).

What you’ll do:

• 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗺𝗶𝗻𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 & 𝗣𝗼𝘄𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲
• 𝗕𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝘀 & 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀
• 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀 𝘁𝗼 𝗱𝗲𝗳𝗶𝗻𝗲 𝗞𝗣𝗜𝘀 & 𝘂𝗻𝗰𝗼𝘃𝗲𝗿 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀

What we’re looking for:

• 𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
• 𝗦𝘁𝗿𝗼𝗻𝗴 𝗗𝗔𝗫, 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆 & 𝗦𝗤𝗟 𝘀𝗸𝗶𝗹𝗹𝘀
• 𝗣𝗿𝗼𝘃𝗲𝗻 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗺𝗶𝗻𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
• 𝗣𝗼𝘄𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗶𝘀 𝗮 𝗽𝗹𝘂𝘀

Roles and Responsibilities:

• Establish viable opportunities.
• Generate new leads using cold calling, email marketing, social media, and other relevant marketing channels.
• Score the viability of an interested lead for the sales team.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities. Accordingly, take the necessary steps to convert hot leads and nurture warm and cold leads.
• Organise and keep the lead status updated in the CRM software.
• Proficient in Lead generation through email, outreach platforms and data search tool like LikedIn; Sales Navigator
• Follow company decorum at all times when representing the organisation.

Desired Candidate Profile:

• A graduate in any stream (10+2+3 regular education)
• 3-5 years of experience in lead generation and prospecting
• Effective communication skills 

• Proficiency with CRM software

• Customer-focused and adaptable to different personality types
• Have the ability to multitask, set priorities and manage time effectively
• In-bound & Out-bound lead generation experience
• data building and data mining using search tools
• Excellent client servicing skills
• Top-notch verbal and written communication skills

Location : Noida/ Delhi
Notice Period : Immediate