Data Analyst Analytics Trainee2024Batch

1 month ago


Sany, India Sparkmetrics Full time
DataAnalysis:
  • Extractanalyze and interpret large datasets to provide actionable insightsfor business decisionmaking.
  • Utilizestatistical techniques and data mining tools to identify trendspatterns andanomalies.

  • DataVisualization:
  • Develop andmaintain dashboards and reports using tools like Tableau Power BIor similar platforms.
  • Present complex data in aclear and concise manner to stakeholders across variousdepartments.

  • DataQuality Assurance:
  • Implementdata validation processes to ensure accuracy consistency andreliability of data.
  • Conduct regular dataaudits and address data quality issuespromptly.

  • Collaboration:
  • Workclosely with crossfunctional teams including IT marketing financeand product management to understand their dataneeds.
  • Participate in global project meetingsand contribute to strategicplanning.

  • Documentation:
  • Createand maintain detailed documentation of data processes methodologiesand analysis results.
  • Ensure documentation isaligned with corporate standards and accessible to globalteams.

  • ContinuousImprovement:
  • Stay updated onemerging data technologies tools and industrytrends.
  • Proactively seek opportunities toenhance data processes performance andscalability.

  • AgilePractices:
  • Participate activelyin agile development methodologies including sprint planning dailystandups and retrospectives.
  • Adapt to changingpriorities and effectively manage time to meet projectdeadlines.

  • ProblemSolving:
  • Analyze complex dataissues and develop innovative solutions to address businessneeds.
  • Utilize advanced analytics and datamodeling techniques to enhance datareliability.

  • Complianceand Security:
  • Implement andenforce data security best practices in all aspects of dataanalysis.
  • Ensure compliance with global dataprivacy standards and regulations including GDPR HIPAA andothers.

Mentorship:
  • Forexperienced candidates: Provide mentorship and guidance to junioranalysts promoting their professionalgrowth.
  • For freshers: Engage in continuouslearning and seek mentorship from senior team members to developexpertise.

PreferredCandidateProfile
  • EducationalBackground:
  • Bachelors or Mastersdegree in Data Science Statistics Computer Science or a relatedtechnical field from an accreditedinstitution.
  • Any Fresher Graduate canapply.

Experience:
  • Freshers:Demonstrated understanding of data analysis through academicprojects internships or relevantcoursework.
  • Experienced candidates: Provenexperience as a Data Analyst in a corporate or MNC environment witha portfolio of successful projects.
  • Proficiencyin programming languages such as SQL Python orR.

datavisualization,data audits,r,data quality,agilepractices,python,continuous improvement,projects,datamining,collaboration,security,power bi,analytics,project,dataquality assurance,mentorship,problem solving,statisticaltechniques,data,documentation,agile,data validation,dataanalysis,compliance,reliability,tableau,sql



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