{"id":1264255,"url":"https://alion.io/job/iide-data-analyst","title":"Data Analyst","company":{"id":2740695,"name":"IIDE","domain":"iide.co","url":"https://alion.io/company/iide","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":33000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":634},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Sheets","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"Metabase","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"MySQL","optional":false},{"name":"n8n","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Zapier","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Superset","optional":true}],"status":"live","first_seen_at":"2026-06-09T00:00:00Z","employer_posted_date":"2026-06-09","last_verified_at":"2026-09-26T04:39:45Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Work Timings: 10:15 AM - 7:15 PM Working Days: 5 Days a Week - The IIDE Way Work Mode: Work from Office Location: Mumbai - Lower Parel, with occasional visits to the Andheri campus About IIDE IIDE is India's leading digital business school, offering industry-relevant programs in digital marketing, AI, and business. With a strong focus on experiential learning, we equip students, graduates, and working professionals with the skills required to thrive in today's digital-first world. Backed by a community of 500,000+ learners and 250+ industry experts, IIDE delivers hands-on training, real-world projects, and robust placement support. With campuses in Mumbai and Delhi, we continue to expand our presence across India and globally.About the Role As the Data Analyst at IIDE, you will play a pivotal role in transforming raw data into reliable insights and scalable business solutions. Sitting at the intersection of data analysis and business operations, you will maintain accurate data across systems, build trusted reports and dashboards, and work with cross-functional teams to improve and automate inefficient processes. This role requires you to understand the “why” behind business requirements, not just the “what,” and translate those requirements into structured, automated, and scalable data solutions. You will work across data modelling, database architecture, ETL pipelines, reporting, CRM data, APIs, and automation while ensuring the organization's data remains accurate, accessible, and dependable. What You'll Do\nData Management & Business Reporting:\nMaintain accurate and structured data across platforms including LeadSquared, Zoho CRM, Google Sheets, Excel, and other business systems.\nManage recurring reports and ensure timely, consistent, and accurate delivery of information to stakeholders.\nBuild and maintain dashboards using Looker Studio, Zoho Analytics, Metabase, Power BI, or similar BI platforms.\nIdentify and resolve data discrepancies, anomalies, and root-cause issues instead of relying on temporary fixes.\nEnsure reporting logic, calculations, definitions, and data sources are transparent and trusted by business teams.\nAnalyse operational data to identify patterns, trends, gaps, and actionable insights.\nData Modelling & Database Architecture:\nDesign and maintain clean, scalable database schemas that support a reliable single source of truth.\nApply data modelling principles including normalisation, dimensional modelling, and entity-relationship design.\nMake informed decisions around data structures, identifiers, schema evolution, and historical versus current data management.\nEnsure referential integrity, consistency, and reliability across interconnected systems and databases.\nDocument data models, schema definitions, relationships, and architectural decisions for long-term maintainability.\nCollaborate with Engineering, Operations, and other teams to ensure database architecture supports reporting, automation, and business requirements.\nETL Pipelines & Data Orchestration:\nBuild, manage, and monitor ETL pipelines to extract, transform, and load data reliably across systems.\nWork with orchestration and data integration tools such as Apache Airflow, Airbyte, Prefect, or similar platforms.\nUse Python and SQL for data extraction, transformation, validation, processing, and loading.\nIntegrate systems and data sources using APIs, webhooks, and other integration mechanisms.\nOptimise pipelines for reliability, performance, scalability, and cost efficiency.\nImplement appropriate error handling, retries, monitoring, and alerts for production data workflows.\nProactively monitor pipeline health and resolve failures or data-quality issues before they impact downstream reporting.\nSQL, Analytics & Data Quality:\nWrite and optimise advanced SQL queries for operational, analytical, and reporting use cases.\nWork with joins, CTEs, window functions, subqueries, aggregations, and other advanced SQL concepts.\nExtract, clean, transform, and analyse data from relational databases such as PostgreSQL, MySQL, BigQuery, or similar platforms.\nPerform data validation and reconciliation to ensure accurate downstream reporting and analysis.\nIdentify trends, patterns, exceptions, and actionable insights that can support business teams and management.\nEnsure data quality issues are investigated systematically and resolved at their source wherever possible.\nAutomation & Systems Improvement:\nIdentify repetitive, manual, or inefficient processes and recommend opportunities for automation.\nWork with tools such as Make, n8n, Zapier, Google Apps Script, or similar platforms to automate workflows.\nSupport integrations between CRMs, databases, reporting platforms, and other business applications using APIs and webhooks.\nExplore AI-assisted analytics, intelligent automation, and LLM-powered data workflows to improve efficiency and decision-making.\nBuild solutions that reduce manual dependencies while improving accuracy, reliability, and scalability.\nAdditional Duties:\nCollaborate with Business Operations, Engineering, Sales, Marketing, Admissions, and other teams to understand data and reporting requirements.\nTranslate business requirements into scalable data models, dashboards, reports, pipelines, and automated solutions.\nMaintain clear documentation for data models, reports, processes, pipelines, and architectural decisions.\nContinuously identify opportunities to improve data quality, reporting efficiency, system architecture, and automation.\nPerform any other reasonable duties as requested by management, aligned with the broad scope of the position.\nRequirements Who You Are\nMust-Have:\n2-3 years of relevant experience in data analysis, analytics engineering, business analytics, or a related role.\nStrong proficiency in SQL with the ability to write complex, optimised, production-grade queries using joins, window functions, CTEs, subqueries, and aggregations.\nStrong understanding of data modelling principles including normalisation, dimensional modelling, and relational database design.\nHands-on experience with database architecture, including schema design, identifiers, relationships, and structures for operational and analytical use cases.\nExperience with ETL tools or orchestration platforms such as Apache Airflow, Airbyte, Prefect, or similar technologies.\nHands-on experience with at least one BI or reporting platform such as Looker Studio, Power BI, Zoho Analytics, Tableau, Metabase, or similar.\nProficiency in Microsoft Excel and/or Google Sheets, including formulas, pivot tables, data validation, and data manipulation.\nDemonstrated ability to understand business requirements and translate them into structured and scalable data solutions.\nExposure to AI-assisted analytics, intelligent automation, or LLM-powered data workflows.\nStrong attention to detail, logical thinking, analytical ability, and focus on data accuracy.\nGood communication and interpersonal skills for effective cross-functional coordination.\nA degree in Statistics, Computer Science, Business Analytics, Commerce, or a related field.\nShould Have:\nExperience working with CRM platforms such as LeadSquared, Zoho CRM, Salesforce, or similar systems.\nExposure to cloud data platforms, particularly Google BigQuery.\nFamiliarity with automation tools such as Make, n8n, Zapier, or Google Apps Script.\nWorking knowledge of Python for data processing, transformation, automation, and pipeline scripting.\nBasic understanding of REST APIs, webhooks, and system integrations.\nExperience documenting data models, processes, pipelines, schemas, and architectural decisions.\nExperience building, maintaining, or monitoring data pipelines in a production environment.\nNice to Have:\nExperience with Apache Superset for self-service analytics and dashboard creation.\nExperience developing Excel Macros or Google Apps Script solutions.\nExposure to AWS data technologies such as Redshift or S3, or Azure platforms such as Synapse.\nFamiliarity with DBT or similar data transformation frameworks.\nExperience with multiple cloud data platforms or modern analytics engineering workflows.\nBenefits Why Join IIDE? •Work with one of India's fastest-growing digital education brands. •Gain exposure to end-to-end business data, analytics, systems, and automation initiatives. •Build data solutions that directly influence operational and management decision-making. •Gain hands-on experience across SQL, databases, ETL pipelines, BI tools, CRMs, APIs, and automation platforms. •Work on building reliable and scalable data systems rather than only producing one-off reports. •Collaborate closely with technical and business teams across the organization. •Explore AI-assisted analytics, intelligent automation, and emerging data technologies in real business use cases. •Work in a collaborative, high-growth environment with significant ownership and learning opportunities. Who You'll Thrive As You're someone who: •Thinks in systems, relationships, and data models rather than viewing every query or report in isolation. •Enjoys turning messy or fragmented data into clean, structured, and dependable information. •Wants to understand why a business needs something before deciding how to build it. •Naturally looks for patterns, inconsistencies, inefficiencies, and opportunities for improvement. •Takes proactive ownership and improves processes without waiting to be told every next step. •Has genuine curiosity about databases, analytics, automation, AI, and how different business systems work together. •Enjoys getting to the root cause of data problems rather than applying surface-level fixes. •Approaches challenges logically, methodically, and with strong attention to detail. •Communicates comfortably with both technical and non-technical stakeholders. •Is excited to explore AI-assisted analytics, intelligent automation, and LLM-powered data workflows. •Learns quickly and adapts comfortably in a fast-paced, evolving environment.","description_format":"text","description_chars":9981,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","E-learning","Virtual Events"],"lifecycle":[{"event":"open","at":"2026-09-25T21:46:14Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.234,"p_room":0.28,"age_days":109,"expected_fill_days":15,"reasons":["conf:1","win:tail","crowd:junior"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/iide-data-analyst","json_url":"https://alion.io/job/iide-data-analyst.json","meta":{"generated_at":"2026-09-27T03:24:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3211,"day_limit":5000,"remaining_today":1789,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}