About Datachamps: We at Datachamps.ai provide end-to-end solutions from Data to Decisions. Our offerings include Intelligent Dashboards, Digital Transformation solutions to the Enterprise CFO (Automated Management Reporting, Budgeting) and Actionable Insights via BI and AI. We enable precise reporting and analytics that support strategic, financial, and tactical business decisions — delivered through intuitive dashboards for Founders, CFOs, and other decision-makers. Our clients range from start-ups to multinational enterprises across domains like Manufacturing (B2B), D2C Brands, Services (Software Development, ITES), Financial Services and Government. Our BI team works on impactful analytics projects involving complex financial models, operational reporting, and CXO dashboards. Our team is looking to hire Junior Business Analysts, an excellent opportunity for candidates aspiring for a career in the space of Business Intelligence, looking to work on business-critical projects and gain relevant work experience. What will be Your Learnings? Building enterprise-grade dashboards using Power BI with a focus on usability, responsiveness, and performanceDesigning intuitive UX with bookmarks, tabs/navigation, drill-throughs, dynamic filtering, and custom tooltipsExploring and deploying custom visuals from AppSource or JSON extensions, and maintaining an internal visualization libraryWorking with Paginated Reports, deployment pipelines, and role-based access modelsManaging complex models with Semantic Layers, Dataflows, and Performance OptimizationIntegrating with Azure Blob, Delta Tables, SQL Warehouses, ERP connectors (SAP, NetSuite, Zoho), and SynapseAutomating workflows using Power BI REST API, Power Automate, and Power AppsNavigating Power BI licensing (Pro, Premium per User, Embedded, Capacity) and suggesting optimal usage modelsGetting certified in PL-300 (mandatory) and working towards PL-600 The role will be supporting the senior team on following tasks:Data Gathering, Diagnosis and ModelingThe BI Developer will play an active role in the foundational steps of analytics — working closely with Business Analysts and Data Engineers to translate raw data into structured models that can power dynamic dashboards. This requires a blend of technical modeling expertise and strong analytical thinking.Participate in requirement walkthroughs to understand key business questions, KPI definitions, and process flows.Perform exploratory analysis on structured and semi-structured data from SQL servers, ERP extracts, Excel files, or cloud storage like Azure Blob or Data Lakes.Collaborate with data engineers to design and validate staging tables, star schemas, and semantic layers that enable meaningful reporting.Apply data mining and segmentation techniques to create logical slices of business data (e.g., customer cohorts, product hierarchies, regional roll-ups).Build and validate calculated columns or flags that reflect domain-specific attributes (e.g., overdue status, billing cycle, reconciliation flags).Ensure final models are optimized for filter propagation, cardinality, performance, and future extensibility Candidates must demonstrate strong analytical skills to collect, organize, analyze, and disseminate significant volumes of information with high attention to detail and accuracy. The role demands comfort with both numerical and categorical data structures, and the ability to identify data quality issues early in the pipeline.Power BI Development & VisualizationDesign visually compelling dashboards using best-in-class UX techniques.Continuously research and test new custom visuals, integrating them as needed.Maintain an internal visual & template library to promote standardization and reuse.Report Optimization & Performance TuningUse DAX Studio, Tabular Editor, and Power BI Performance Analyzer to improve performance.Refactor heavy DAX measures and conduct performance regression testing.Power BI Service & Paginated ReportsManage report deployment via Workspaces, Access Control, Deployment Pipelines.Develop and publish Paginated Reports for financial or compliance use cases.Implement refresh schedules, RLS/PLS, and monitor access logs.Production ReadinessHandle deployments in production using medallion architecture and ERP/cloud data sources.Coordinate with engineers and business analysts for schema, mapping, and release planning.Automation & Workflow IntegrationLeverage Power BI APIs, Power Automate, and Power Apps to automate lifecycle events and reporting workflows. Skills & Tools:Must-HavePower BI Desktop & Service (Workspaces, Pipelines, Dataflows)DAX, M (Power Query), Git/versioning toolsPower BI REST API, RLS/PLSPL-300 certification (mandatory); PL-600 preferredPreferred ExposureRecent examples of Detailed Revenue, Cost, Inventory, Financial Statements (P&L, Balance Sheet, Cash Flow, Working Capital), Financial Ratios reporting in Power BIAzure (Blob, SQL, Synapse), AWS (S3, Redshift)Python/SQL, Tabular Editor, DAX Studio, Performance AnalyzerBesides Power BI Tableau, Looker, QlikView / QlikSense Qualification & Soft Skills Requirements:Bachelors in Statistics, Finance (or Chartered Accountancy), Engineering, Economics, Computer Science, or a related field.3 – 5 years of Power BI development experience (internships or project-based experience acceptable) across projects with at least 5 industry / function situations.Strong focus on dashboard quality, user experience, and accuracy of business KPIs.A problem-solver who explores new visuals, optimizes reports, and improves interaction.Clear communicator with structured thinking and accountability for outcomes.Interested in working for a dynamic and high-growth venture where your analysis drives important decisions for seniors in the team.Strong language & communication skills with the ability to discuss any issues with a wide variety of individuals and groups.A well-organized team player with the ability to perform various tasks, act individually, and think creatively.Willingness to learn and develop data analysis skills and have a proactive attitude.

Key Responsibilities Oversight & Optimisation of Data Lakehouse & Architecture, Data Engineering & Pipelines Understand lakehouse architectures that unify structured and semi-structured data at scale Strong experience of Implementing, monitoring job scheduling and orchestration using Airflow , Azure Data Factory , and CI/CD triggers and with Azure Dataflows , Databricks , and Delta Lake for real-time/batch processing, Managing schema evolution , data versioning (e.g., Delta Lake), and pipeline adaptability Pipeline performance tuning for latency, resource usage, and throughput optimization Cloud Infrastructure & Automation Infra automation using Terraform, Azure Bicep, and AWS CDK Setting up scalable cloud storage (Data Lake Gen2, S3, Blob, RDS, etc.) Administering RBAC , secure key vault access, and compliance-driven access controls Tuning infrastructure and services for cost efficiency and compute optimization Full-Stack Cloud Data Platform Design Designing end-to-end Azure/AWS data platforms including ingestion, transformation, storage, and serving layers Interfacing with BI/AI teams to ensure data readiness, semantic modeling, and ML enablement Familiarity with metadata management, lineage tracking, and data catalog integration Enterprise Readiness & Delivery Experience working with MNCs and large enterprises with strict processes, approvals, and data governance Capable of evaluating alternative tools/services across clouds for architecture flexibility and cost-performance balance Hands-on with CI/CD , monitoring , and security best practices in regulated environments (BFSI, Pharma, Manufacturing) Lead cost-performance optimization across Azure and hybrid cloud environments Design modular, scalable infrastructure using Terraform / CDK / Bicep with a DevSecOps mindset Explore alternative cloud tools/services across compute, storage, identity, and monitoring to propose optimal solutions Drive RBAC, approval workflows, and governance controls in line with typical enterprise, MNC deployment security protocols Support BI/data teams with infra tuning , pipeline stability , and client demo readiness Collaborate with client-side architects, procurement, and finance teams for approvals and architectural alignment Ideal Profile 47 years of experience in cloud infrastructure and platform engineering Strong hold on Microsoft Azure , with hands-on exposure to AWS / GCP / Snowflake acceptable Skilled in IaC tools (Terraform, CDK), CI/CD , monitoring (Grafana, Prometheus), and cost optimization tools Comfortable proposing innovative, multi-vendor architectures that balance cost, performance, and compliance Prior experience working with large global clients or regulated environments (e.g., BFSI, Pharma, Manufacturing) Preferred Certifications Microsoft Azure Administrator / Architect (Associate/Expert) AWS Solutions Architect / FinOps Certified Bonus: Snowflake, DevOps Professional, or Data Platform certifications