Innova Solutions

Madhyamgram, North 24 Parganas

Role OverviewThe Data Analyst is responsible for analyzing large datasets, generating insights, and supporting business decisions through reports, dashboards, and statistical analysis. The role involves working with databases, analytical tools, and business teams to transform raw data into actionable insights. Key ResponsibilitiesCollect, clean, and analyze structured and semi-structured datasets.Write complex SQL queries to extract and manipulate data from databases.Perform data analysis using Python tools such as Pandas, NumPy, and visualization libraries.Build reports, dashboards, and visualizations for stakeholders Using IBM SPSS.Identify trends, patterns, and correlations in data to support business decisions.Ensure data accuracy, consistency, and quality across different sources.Work with cross-functional teams to understand business requirements.Conduct ad-hoc analysis and ongoing reporting tasks Using IBM SPSS. Required SkillsSQL for querying and data extractionPython (Pandas, NumPy, Matplotlib / Seaborn)Data analysis & statistical concepts (regression, hypothesis testing, probability)Reporting & dashboardsKnowledge of ETL processes and data warehousingData visualization tools like Power BI or Tableau (preferred) EducationBachelors degree in:Data ScienceStatisticsComputer ScienceMathematics or related field. ExperienceTypically 04 years for entry level roles.Some roles may require 3+ years experience in analytics. Salary (India Approx.)4.6 LPA 7.7 LPA depending on experience

Business Unit: Ingram Micro LifecycleLocation: India (Bangalore / Hyderabad / Remote as applicable)Experience: 03 years (adjust as needed)Job SummaryIngram Micro Lifecycle is looking for a detail-oriented Data Analyst to support data-driven decision-making across IT Asset Disposition (ITAD), reverse logistics, refurbishment, and lifecycle services. The role involves analyzing operational, financial, and compliance data to improve efficiency, reporting accuracy, and customer insights.Key ResponsibilitiesCollect, clean, and analyze large datasets from lifecycle operations, ITAD systems, logistics, and ERP platformsBuild and maintain dashboards and reports for operations, sales, finance, and compliance teamsAnalyze trends related to asset recovery, refurbishment yield, resale value, and disposal metricsSupport customer reporting requirements, including SLA, audit, and compliance dashboardsWork closely with cross-functional teams (Operations, Finance, Sales, Compliance, IT) to understand data needsIdentify process gaps and recommend data-driven improvementsEnsure data accuracy, integrity, and governance standards are maintainedAssist in automation of reports and data pipelines where possiblePrepare insights and presentations for management reviewsRequired Skills & QualificationsBachelors degree in Data Analytics, Computer Science, Statistics, Engineering, or related fieldStrong proficiency in SQLHands-on experience with Excel (advanced formulas, pivot tables)Experience with BI tools such as Power BI, Tableau, or LookerStrong analytical and problem-solving skillsAbility to translate complex data into clear business insightsGood communication skills and stakeholder management abilityPreferred / Nice-to-Have SkillsExperience in ITAD, supply chain, logistics, or lifecycle servicesKnowledge of ERP systems (SAP preferred)Python or R for data analysis and automationUnderstanding of compliance standards (R2, e-Stewards, ISO, ESG reporting)Experience working with large, multi-source datasetsWhat We OfferOpportunity to work with a global leader in technology lifecycle servicesExposure to international clients and large-scale operations dataCollaborative and fast-paced work environmentCareer growth within analytics, operations, and strategy functions