{"id":2518249,"url":"https://alion.io/job/blitz-finance-analyst-mis-data-analytics","title":"Finance Analyst – MIS & Data Analytics","company":{"id":3785670,"name":"Blitz","domain":"blitznow.in","url":"https://alion.io/company/logo-7","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":23000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Sheets","optional":false},{"name":"Metabase","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T07:45:55Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T17:37:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Finance Analyst - MIS & Data Analytics\nAbout Blitz\nBlitz enables Same-Day Delivery for eCommerce brands to provide the best on-time delivery experiences to their customers. Blitz aims to simplify scalability & unlock the growth of new-age eCommerce brands by making Same-Day delivery more convenient, reliable & affordable. Same-Day Delivery helps brands with converting their browsers into buyers, serving as a competitive advantage and reducing working capital challenges. Blitz currently engages with enterprise brands with category focus into Fashion, Beauty & Personal Care and Healthcare; helping them with 30% - 40% increase in their website conversions & increasing retention by 2x by providing best in class experience.\nRole Overview\nBlitznow is looking for a highly analytical and data-driven Finance Analyst to strengthen the Finance team's reporting and data management capabilities. The role will primarily focus on handling large volumes of business and financial data, extracting data from internal systems, cleaning and transforming raw datasets, and developing reliable MIS reports and dashboards.\nThe candidate will work extensively with Metabase, Zoho, advanced Excel, Google Sheets, and other data extraction and reporting tools to build standardised, reusable reports that enable the Finance and business teams to access the information they need independently.\nThis role requires strong hands-on data management skills, attention to detail, and the ability to convert complex, unstructured data into accurate, actionable reports. The ideal candidate should be comfortable working with large datasets, automating repetitive reporting activities, and building scalable reporting processes in a fast-paced environment.\nRoles & Responsibilities\n1. Data Extraction & Management\nExtract large volumes of data from Metabase, Zoho, and other internal business systems for financial reporting, reconciliation, and analysis.\nWork with raw, unstructured, and fragmented datasets and perform data cleansing, formatting, mapping, merging, and transformation.\nIdentify data gaps, inconsistencies, duplicates, and mismatches, and ensure data accuracy and completeness before reporting.\nCombine data from multiple sources to create consolidated datasets for Finance and business analysis.\nHandle recurring and ad hoc data requests from the Finance team and other stakeholders within defined timelines.\n2. Metabase Reporting & Self-Service Data Access\nDevelop and maintain reports, saved questions, dashboards, and data extracts in Metabase.\nCreate reusable report links and configure appropriate access permissions so that authorised team members can independently access and download reports.\nEnable self-service reporting by creating standardised report links, templates, filters, and documented extraction procedures.\nUnderstand Metabase's underlying data structure, filters, query logic, and reporting capabilities.\nWork with the relevant data or technology team to resolve access issues, optimise queries, and improve reporting availability.\nMaintain a central repository of standard reports, report links, data definitions, and extraction instructions.\n3. MIS & Financial Reporting\nPrepare and maintain periodic MIS reports covering revenue, collections, receivables, payables, COD, expenses, profitability, and other financial and operational metrics.\nConsolidate data from multiple sources to support monthly financial reporting and management reviews.\nDevelop standardised reporting templates with appropriate checks, reconciliations, and validation mechanisms.\nTrack key financial and operational metrics and highlight material variances, unusual trends, and data discrepancies.\nSupport the Finance team in preparing management reports, business performance reviews, and data-backed analysis.\n4. Data Automation & Process Improvement\nAutomate repetitive data extraction, cleaning, consolidation, and reporting activities using advanced Excel, Google Sheets, Power Query, SQL, Python, or other relevant tools.\nIdentify manual reporting processes that can be simplified, automated, or standardised.\nBuild scalable data workflows to reduce turnaround time and dependency on ad hoc support from other teams.\nCreate standard operating procedures for recurring reports, including source identification, extraction steps, validation checks, and report-sharing mechanisms.\nContinuously improve data quality, reporting efficiency, and the reliability of Finance MIS.\n5. Data Room & Audit Support\nSupport the preparation, organisation, and maintenance of financial and operational data rooms for management reviews, investor due diligence, audits, and other business requirements.\nExtract, consolidate, validate, and organise data requested by internal and external stakeholders.\nMaintain structured folders, standardised file naming conventions, version control, and supporting schedules.\nEnsure reports and supporting files are accurate, traceable to source data, and readily accessible when required.\nCoordinate with Finance and relevant business teams to close data gaps and fulfil information requests within agreed timelines.\n6. Financial Analysis & Business Support\nSupport revenue, cost, margin, collections, working capital, and profitability analysis through structured datasets and MIS reports.\nAssist in preparing budgets, forecasts, variance analysis, and business performance reports as required.\nProvide reliable data and analytical support to Finance leadership for business reviews and decision-making.\nTranslate business reporting requirements into clear data requests, report structures, and measurable outputs.\nRequired Qualifications & Skills\nBachelor's degree in Finance, Commerce, Economics, Business Administration, Statistics, or a related discipline. A master's degree in Finance, Management, or Analytics is an added advantage.\n1-3 years of relevant experience in Finance MIS, data analytics, reporting, business intelligence, or a similar role.\nStrong hands-on proficiency in advanced Excel and Google Sheets, including Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS, INDEX-MATCH, conditional formulas, data validation, and handling large datasets.\nPractical experience with Metabase or a similar BI/reporting tool, including report creation, filters, saved queries, dashboard management, and sharing report links.\nWorking knowledge of SQL for extracting, joining, filtering, and aggregating data is strongly preferred.\nExperience with Power Query, Google Apps Script, Python, or other reporting automation tools is an advantage.\nAbility to work with large datasets from multiple systems and convert raw data into clean, structured, analysis-ready information.\nStrong understanding of data reconciliation, validation, accuracy checks, and error identification.\nExperience preparing MIS reports, management dashboards, data rooms, or investor/audit data packs.\nStrong problem-solving skills, attention to detail, ownership, and the ability to deliver accurate outputs within tight timelines.\nWhat We Are Looking For\nA data-oriented professional who enjoys working with large volumes of raw data.\nSomeone who can independently extract, clean, transform, reconcile, and report data without constant supervision.\nA hands-on candidate who can create reusable reports and report links, enabling other teams to access data without repeatedly depending on Finance.\nSomeone who can identify opportunities to automate manual reporting and improve turnaround times.\nA proactive individual who takes ownership of data accuracy, report quality, and delivery timelines.\nSomeone comfortable working in a fast-paced, evolving business environment with changing data and reporting 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