Data Analyst Analytics Trainee2024Batch
1 month ago
- 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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