Divik Dalesh Shah

Driven by a deep curiosity and ambition, I approach data analytics with a meticulous and logical mindset, always striving for mastery in uncovering actionable insights. My focus is on building robust data solutions and optimizing systems, ensuring precision and clarity to empower informed decision-making and drive impactful growth.

Experience

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Associate Database Manager (Data Analytics & BI)

WOOP.WORLD · Jan 2025 – Present

Not yet confirmed

• Own end-to-end data operations for a 9-brand, 5-country FMCG lead-generation program (Nestlé, Abbott, Unilever, Reckitt, Fonterra) across Malaysia, Philippines, Vietnam, India, and Indonesia.
• Designed and implemented SQL deduplication logic (Opt-in Code + MIN(Opt-in Date)) to identify each user's first valid interaction, eliminating duplicate leads across manual files and API-fallback processes, and generated % validity metrics to assess lead quality per brand.
• Built a Python automation script to fetch client data from the database, apply deduplication logic, and generate client-ready files replacing a fully manual Excel process and cutting file-creation time from 3-4 hours to ~10 minutes.
• Diagnosed and fixed a critical bug in a live Quickwork API journey where a flawed monthly-target query compared month numbers only (not month + year), which was silently blocking lead delivery on an active campaign.
• Built and maintained Metabase dashboards (daily performance tracking, opt-in monitoring, brand-code reconciliation) and a country-wise funnel analysis dashboard to surface campaign drop-off.
• Automated a WhatsApp lead-intake flow (Interakt + n8n) with built-in validation checks, and led the migration of client data-download infrastructure from PointerPro to Metabase.
• Maintained compliance readiness by uploading audit evidence to SCRUT and completing Business Continuity & Disaster Recovery (BCDR) testing.

Associate Database Manager

WOOP · Jan 2025 – Present

Not yet confirmed

• • Designed and maintained automated data collection, cleansing and transformation pipelines for campaign and operational datasets, improving reporting accuracy to 95%+.
• • Built SQL-based performance trackers and Power BI/Excel dashboards to monitor KPIs and operational trends, reducing manual analysis time by 80%.
• • Analyzed campaign and operational data to identify anomalies, data gaps and process bottlenecks, contributing to a 30% improvement in operational efficiency.
• • Translated stakeholder requirements into structured data solutions, reporting logic and analytical outputs aligned with business objectives.
• • Applied data validation, deduplication and quality checks to improve the reliability and consistency of reporting datasets.
• Tools: SQL | Power BI | Excel | Python | ETL | Data Validation | Data Transformation | Data Quality

Data Analyst

Reliance Industries Limited · Jul 2023 – Jan 2025

Not yet confirmed

• Analyzed operational and HR datasets to identify performance gaps, translating stakeholder questions into structured, data-driven analysis for leadership.
• Built and maintained SQL-driven Power BI dashboards used directly in leadership business reviews to monitor key operational KPIs.
• Owned end-to-end data cleaning, validation, and transformation for monthly performance reporting, maintaining 100% accuracy for stakeholder decision-making.

Technical Analyst

Reliance Industries Limited · Mar 2022 – Jul 2023

Not yet confirmed

• Uniform Orifice Sizing Project, standardizing gas flow calculation methodology across teams and improving operational efficiency by 10%.
• Centralized 1,000+ equipment records into structured SQL and Excel databases, cutting data retrieval time by 60%.
• Performed large-scale data preprocessing and validation to ensure accuracy for engineering and operational analytics.

What drives their work

The Architect

Designs and structures robust data systems for clarity and efficiency.

Divik's superpower

You excel at transforming complex, disparate data into structured, actionable insights and automated processes.

How Divik works

You would excel in teams focused on building and maintaining robust data infrastructure and delivering actionable insights to business users.