Data AnalystAnalyticsFresher Graduate

6 days ago


Sany, India Prometrics Solutions Full time
Data Analyst responsible for collectinganalyzing and interpreting data from multiple sources to identifytrends patterns and opportunities. This role involves workingclosely with stakeholders to understand their data needs anddeliver actionable insights that drive business growth andefficiency.
Responsibilities:
  • DataCollection and Cleaning: Collect data from internaland external sources ensuring accuracy completeness andconsistency. Clean and preprocess data to prepare it foranalysis.
  • DataAnalysis: Utilize statistical methods data miningtechniques and visualization tools to analyze large datasets andextract meaningful insights. Identify trends patterns andcorrelations to informdecisionmaking.
  • Reporting andVisualization: Develop dashboards reports andvisualizations to communicate findings and present insights tostakeholders. Use tools such as Tableau Power BI or Pythonlibraries like Matplotlib andSeaborn.
  • PredictiveModeling: Build predictive models using machinelearning algorithms to forecast future trends customer behavior orbusiness outcomes. Evaluate model performance and refinemethodologies as needed.
  • DataInterpretation: Interpret and explain data analysisresults to nontechnical stakeholders providing actionablerecommendations for business improvement oroptimization.
  • Collaboration:Collaborate with crossfunctional teams including business analystsdata engineers and software developers to integrate data analyticssolutions into business processes andapplications.
  • DataGovernance: Ensure data quality integrity andsecurity by adhering to data governance policies and bestpractices. Implement data governance frameworks to maintain dataaccuracy andconsistency.
  • ContinuousImprovement: Stay updated on industry trendsemerging technologies and best practices in data analytics.Continuously seek opportunities to enhance analytical techniquestools and processes.
  • Experience working withlargescale datasets and distributed computing platforms (e.g.Hadoop Spark).
  • Knowledge of data warehousingconcepts and technologies (e.g. SQL Server SnowflakeRedshift).
  • Experience with data extractiontransformation and loading (ETL) processes andtools.
  • Familiarity with Agile methodologies andproject management tools such as Jira orTrello.
  • Industryspecific knowledge in areassuch as finance healthcare ecommerce ormarketing.

data,analytics,datagovernance,data analysis,dataanalytics,datasets,visualization,agile,agilemethodologies,algorithms,python,sql,powerbi



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