Data Analyst (Pune, India)

Company

Enormous Enterprise LLCLocation:Pune, Maharashtra, India

Posted

September 10, 2025Apply

Description

Qualifications5+years’experiencein related field preferredExperiencewithother tools such as GCP BQ, Alteryx, Tableau required Experiencewithdata query, visualization, dashboard and/or scorecard tools preferredExtensive experience performing Analysis and SolutioningExperiencein Big Data systems, Data Lakes and Analytics related field preferredHandsonexperience inDataAnalysis/validation/data mapping and proficient in SQL queriesExperience developing Business/Functional Requirement documentation and facilitating requirement work sessions with Business Units/ClientsExcellent verbal/written communication skills in an internal client facing role with ability to present information and findings clearly in analysis/reportsCanworkoncomplexprojectsoflarge scope

Responsibilities

Scopes, designs, and develops data analytics solutions/models to solve challenging business problems using Google BigQuery, SQL, SAP, Tableau, AtScale, Looker Studio, Alteryx, and other data-centric technologiesProficiency in data modeling/design and reading/writing/debugging/optimizing advanced SQL queries are firmly requiredKnowledge of data visualization, dashboard, reporting, and OLAP/dimensional design tools preferredTranslates complex business requirements into technical requirements, and ultimately into data solutions that enable the business to make fast, effective, data-driven decisions (BigQuery data models/views, AtScale virtual cubes, Tableau dashboards; supports decision-making, metric management, enterprise performance management)Asks probing questions to understand detailed business processes, requirements, and data architecturesBrings a foundation of data analysis experience and best-practices to discover and anticipate requirements beyond those that are plainly provided Observes patterns in processes and data and implementing end-to-end data driven intelligent processesExtracts, manipulates, and analyzes varying types of data to find insight with a high degree of accuracy and attention to detailIntegrates analysis and underlying work (e.g., data mapping, transformations, validation) back into preexisting data platforms, with an enterprise mentality beyond any single use caseApplies hypotheses and an understanding of cause-and-effect from the logical analysis of a complex situationHighly collaborative with business, subject matter experts, and technical teams in requirements gathering, whiteboarding, rapid prototyping, meetings, communication, etc.Partners in areas of strategic business focus with internal customers spanning all teams, including business, product managers, analysts, engineering, testing, data governance, and leadershipTranslates effectively between business users and technical team membersApply