# Business Data Analyst in MumbaiGIRI CONSULTANCYPost Graduate / MBAData AnalystExperienceFresherSalary Package₹10,00,000 - ₹12,00,000 P.A.Work LocationVashi, Navi Mumbai, MaharashtraJob TypeFULL TIMEPosted: 22/09/2026 Actively Reviewing ResumesJob ID: #9YYPC5FT## Job DescriptionTarget Role:Business Data Analyst in MumbaiEligibility:Post Graduate / MBADirect Process:0% Placement Charges**JobDescription: Business / Data Analyst (Trainee / Fresher)****RoleOverview**Weare looking for exceptionally sharp, highly analytical, and data-driven **Graduate& Post Graduate Freshers** to join our strategic data intelligencedivision in **Vashi, Navi Mumbai**. As a Trainee Business/Data Analyst, youwill sit at the intersection of business strategy and engineering, transformingraw operational datasets into actionable executive insights.Thiselite, high-visibility role is structured to fast-track your analytical career.You will work directly with department heads and product managers to map markettrends, track functional metrics, design executive business intelligencedashboards, and build predictive operational models. Extensive corporatetraining on cloud data pipelines and advanced statistical models will beprovided.**** **Salary & Compensation**· **MonthlyTake-Home:** ₹80,000 to ₹1,00,000 per month(Commensurate with performance in the analytical evaluation and case studyrounds)· **Annual CTC:** ₹9,60,000 to ₹12,00,000 P.A. + Performance Bonuses +Premium Corporate Medical Coverage· **Joining Status:** **Immediate Joiners Only** (Candidates who cansuccessfully clear the technical panel and join within 0–10 days will beheavily prioritized)**** **Job Details**· **Experience:** 0 Years (Freshers / Engineering Graduates / MCA / M.ScStatistics or Data Science / MBA Analytics Post Graduates welcome)· **Location:** Vashi, Navi Mumbai (On-site corporate office)· **Employment Type:** Full-time, Permanent---**** **Key Responsibilities****1.Data Extraction & Architecture Operations**· Write and execute structured,optimized **SQL queries** to extract raw operational or transactionaldatasets from relational and cloud data stores.· Perform thorough data cleaning,parsing, and preprocessing using **Python (Pandas, NumPy)** or R programminglanguages.· Identify, diagnose, and resolve dataintegrity discrepancies across disparate company databases.**2.Business Intelligence & Executive Dashboards**· Translate static, raw company datainto highly interactive, automated business dashboards using **Power BI orTableau**.· Track and visual key business healthindicators (KPIs) such as customer lifetime value (LTV), acquisition costs(CAC), retention curves, and operational bottlenecks.· Present findings regularly tonon-technical business stakeholders using clear, structured, and visually engagingslide decks.**3.Requirement Sourcing & Market Modeling**· Coordinate across cross-functionalengineering and product teams to translate complex business workflows intodetailed **Product Requirement Documents (PRDs)**.· Apply fundamental statisticalmethods (such as A/B testing, regression models, hypothesis testing, andforecasting algorithms) to optimize marketing, supply chain, and financialperformance.· Conduct exploratory data analysis(EDA) to map changing market trends and highlight high-yield operationaladjustments.**4.Agile Documentation & Maintenance**· Maintain clear, standardizedanalytical logic sheets, data dictionaries, and metric definitions withininternal documentation centers.· Participate actively in data designreview boards, daily standup scrum alignments, and quarterly trend forecastingpipelines.---**** **Qualifications & Skills Required**· **Education:** B.E. / B.Tech (Computer Science, IT, or related fields),MCA, M.Sc (Data Science, Statistics, Mathematics, Economics), or an MBA inBusiness Analytics / Systems from a reputable institute.· **Core TechnicalSkills:** Flawless logical syntax in **SQL**(Joins, CTEs, Window functions) and baseline execution mechanics in **Python**or R.· **AnalyticalTooling:** Exceptional, advanced proficiencyin **MS Excel** or Google Sheets (Index-Match, Pivot Tables, Power Query).Basic hands-on familiarity with Power BI or Tableau.· **Aptitude:** High deductive capability, exceptional data-storytellingaptitude, and the mental resilience to structure ambiguous business problemslogically.· **Communication:** Fluent, precise, and highly confident verbal and writtenEnglish communication skills.