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Data Analysis Manager

1 month ago

Dubai, Dubai, United Arab Emirates Dicetek LLC Full time
Roles and responsibilities
  • Understanding of DataAnalytics:
  • Familiarity with data lifecycle:collection, storage, processing, analysis, andvisualization.
  • Knowledge of advanced analyticstechniques such as predictive modeling, machine learning, andAI.
  • Big Data and CloudPlatforms:
  • Experience with tools like Hadoop,Spark, or Snowflake.
  • Understanding of cloudplatforms such as AWS, Azure, or GoogleCloud.
  • Data Integration andETL:
  • Awareness of ETL processes and tools likeInformatica, Talend, or Apache NiFi.
  • DatabaseManagement:
  • Proficiency in working withrelational (SQL) and non-relational (NoSQL)databases.
  • DataVisualization:
  • Familiarity with tools likeTableau, Power BI, or Looker.
  • Cybersecurity andCompliance:
  • Awareness of data security, privacyregulations (e.g., GDPR, CCPA), and governance bestpractices.

Certifications(advantage to have)

  • ProjectManagement:
  • PMP (Project ManagementProfessional)
  • Certified Scrum Master(CSM)
  • PRINCE2
  • Data andAnalytics:
  • Google Data AnalyticsCertification
  • AWS Certified Data Analytics -Specialty
  • Microsoft Certified: Azure DataEngineer Associate
  • BusinessAnalysis:
  • CBAP (Certified Business AnalysisProfessional)
  • PMI-PBA (Professional in BusinessAnalysis)

Experience

  • Domain Expertise: Experience in theindustry relevant to the analytics platform (e.g., finance,healthcare, retail).
  • Technical ProjectDelivery: Previous involvement in implementing analytics platformsor similar technical projects.
  • Cross-functionalTeam Leadership: History of working with multi-disciplinary teams,including engineers, analysts, and businessunits.
  • Define ProjectScope: Work with stakeholders to define theproject's objectives, deliverables, and expectedoutcomes, ensuring alignment with businessgoals.
  • DataStrategy: Help shape the data strategy by advisingon data collection, processing, and analyticsmethods.
  • Develop ProjectRoadmap: Create detailed project timelines,milestones, and resource plans, ensuring that all project phasesare accounted for and that progress istracked.
  • RiskManagement: Identify and mitigate risks related toproject scope, timeline, resources, or data quality that mightimpact project success.
Desired candidate profile

1. Project ManagementExpertise

  • ProjectManagement Methodologies: Knowledge of projectmanagement methodologies such asAgile,Waterfall, orScrum to manage and adapt projectseffectively.
  • TimeManagement: Strong ability to manage timelines, setpriorities, and meet deadlines while handling multiple tasks andresponsibilities.
  • TaskDelegation: Ability to delegate tasks effectively,ensuring that team members are empowered to perform their bestwork.

2. Data andAnalyticsKnowledge

  • Understandingof Data: Familiarity with data management practices,data quality, data governance, and data integrationtechniques.
  • AdvancedAnalytics: Knowledge of machine learning, artificialintelligence, predictive modeling, and statistical analysis,although hands-on experience with coding is not typicallyrequired.
  • DataVisualization: Proficiency with data visualizationtools like Power BI,Tableau, orLooker to help present analyticsresults in an easily digestible format forstakeholders.

3.Stakeholder Management andCommunication

  • CommunicationSkills: Strong verbal and written communicationskills to clearly explain complex data insights and analyticsresults to non-technicalstakeholders.
  • StakeholderAlignment: Ability to manage and align diversestakeholders, including business leaders, technical teams, andend-users, with the project's goals andobjectives.
  • Influence andNegotiation: Skilled in influencing decisions andnegotiating project scopes, timelines, and resources withstakeholders.

4.Analytical and Problem-SolvingAbilities

  • CriticalThinking: Ability to think critically andproblem-solve, especially in situations involving large or complexdata sets and unforeseenchallenges.
  • Decision-Making:Ability to make data-driven decisions and use analytics tools tooptimize outcomes and mitigaterisks.
  • Data-DrivenApproach: Focus on ensuring that analytics areactionable, helping the organization make decisions based onaccurate, real-time data.

5.Leadership and TeamCollaboration

  • TeamLeadership: Strong leadership skills to guidecross-functional teams, particularly in a fast-paced and oftenevolving environment.
  • MotivatingTeams: Ability to motivate and inspire teams,particularly data analysts, scientists, and engineers, to deliverhigh-qualityresults.
  • Collaboration:Work collaboratively across departments and with differentfunctional teams, balancing technical and businesspriorities.

6. ChangeManagement andAdaptability

  • AgileAdaptability: Ability to adjust project plansquickly in response to changing business priorities, new datafindings, or technologychanges.
  • Flexibility:Comfort in working in a constantly evolving technological andbusiness environment, with the ability to pivot or adjuststrategies when needed.
Key Skills
Information System,Data Analysisand Reporting,Data Analytics
Employment Type: Full-time
Department / FunctionalArea: Data Analysis
Experience: years
Gender: Male
Vacancy: 1