Data Analyst at Cielo Talent

Apply for the hybrid Data Analyst position at Cielo Talent in Bengaluru. Optimise retail merchandising analytics, inventory tracking, and predictive sales modelling using SQL, Python, Power BI, and AI/ML tools.

About the Company: Cielo Talent

Cielo Talent is a global technology-driven Talent Acquisition partner and Recruitment Process Outsourcing (RPO) leader. Operating across multiple continents, Cielo designs, builds, and manages high-performance talent architectures for some of the world’s most prestigious organisations, spanning the healthcare, retail, technology, and advanced engineering sectors.

This specific analytics role is deployed through Cielo’s strategic retail operations division, supporting a top-tier retail and ecommerce partner. Based in the enterprise hub of Bengaluru, Karnataka, the data division works at the intersection of supply chain logistics, demand forecasting, and inventory allocation. The team is responsible for managing massive sales pipelines, streamlining inventory tracking databases, and deploying predictive machine learning workflows to guide merchandising strategies across global store networks.

About the Role: Data Analyst (Retail & Merchandising)

Are you a tech-savvy data specialist with a strong background in retail reporting, inventory tracking, and building predictive analytics models? Cielo Talent is hiring a full-time, permanent Data Analyst to join its retail intelligence team on a hybrid framework in Bengaluru, Karnataka. This execution-focused, mid-career role is built for professionals bringing 2 to 4 years of deep corporate experience in retail analysis and merchandise planning.

As a Data Analyst, you will step out of passive data entry to serve as a critical strategic engine for product allocation and pricing strategies. Your daily work will center on writing optimised SQL queries, constructing automated workflows inside Microsoft Power Platform, and building interactive dashboard suites across Power BI, Tableau, and MicroStrategy. Partnering directly with Buyers, Business Analysts, Planners, and Planning & Allocation (P&A) Managers, you will translate historical retail logs and inventory data into automated predictive models using AI and Machine Learning tools.

Key Responsibilities & Retail Analytics Workflows

• Retail & Merchandising Reporting: Develop, test, and deliver comprehensive sales, inventory, and product allocation reports to be reviewed by buyers, planners, and senior merchandising executives.

• Predictive AI/ML Modelling: Leverage AI and Machine Learning tools to build predictive analytics models, automate trend analysis, and support decision-support solutions.

• BI Dashboard Engineering: Architect and maintain corporate-level interactive performance dashboards inside Power BI, Tableau, and MicroStrategy to track retail KPIs.

• Cloud Data Transformation: Write efficient SQL routines and utilise platforms like Datameer to extract, clean, and manipulate unstructured transaction logs from core databases.

• Workflow Automation: Design and optimise automated tracking tools, inventory reconciliations, and reporting pipelines using Power Automate and Power Apps.

• Historical Pattern Dissection: Analyse seasonal historical data to identify purchase patterns and margin trends, offering actionable insights that support dynamic product allocation decisions.

• Cross-Functional Strategy Alignment: Partner with P&A managers and regional leadership teams to translate open-ended business objectives into clear analytical requirements.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine a strong analytical foundation in retail math with the technical ability to navigate complex database architectures and inventory management environments.

Required Experience & Technical Baseline:

• Professional Tenure: 2 to 4 years of proven corporate experience in data analysis, with a mandatory background of 2+ years specifically in Retail and Merchandising reporting.

• Advanced Spreadsheet Mastery: Exceptional proficiency in Advanced Excel, including hands-on experience with VBA macros, Power Query, and Power Pivots.

• Business Intelligence & Reporting: Strong development experience in engineering interactive visual analytics platforms across Power BI, Tableau, and MicroStrategy.

• Core Database Querying: Deep command of SQL for writing queries, data mining, and processing large-scale relational datasets.

• Scripting & Data Science: Working proficiency in Python for deeper statistical analysis, data cleaning, and algorithmic modelling.

Preferred Systems & Domain Expertise:

• Inventory Architectures: Practical familiarity with specialised inventory management or product registries, such as JDA, PIM, or related retail database networks.

• Microsoft Power Platform: Practical knowledge of building low-code applications and automated workflows using Power Automate and Power Apps.

• AI/ML Fluency: Direct exposure or practical familiarity working with AI/ML tools to support predictive analytics and business forecasting.

• Core Soft Skills: Exceptional communication and presentation skills, with a proven ability to succinctly explain mathematical data trends to non-technical buyers and planners.

Core Position Specifications

• Position Title: Data Analyst (Retail & Merchandising)

• Hiring Organization: Cielo Talent

• Corporate Compensation: ₹12,00,000 – ₹13,00,000 P.A. (Base salary range)

• Experience Allotment: 2 – 4 Years of core industry background

• Employment Framework: Full-Time, Permanent corporate assignment

• Workplace Structure: Hybrid execution model based in Bengaluru, Karnataka

• Industry Placement: Recruitment Staffing / Retail & eCommerce / Supply Chain Logistics

• Functional Department: Merchandising, Planning & Allocation Analytics