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Head of Analytics
2 weeks ago
- General: This role is ablend of hands on 'in the business' andexecutive level 'on the business' work. Tosucceed you will enjoy rolling up your sleeves, leading a team andcontributing to strategy
- Project Delivery:Manage, standardize & validate the structure of businesscases for product development, headcount, engineering resources,budgets, general strategic & roadmapprioritization
- Experimentation: Define success,measure / validate experiments and help ingrain an experimentalmindset within the teams
- Forecasting andInsights: Provide a macro-led business intelligence view to theorganization to prevent missed opportunities, surmount obstacles atall organizational levels and drive commercialbehaviors
- Analytics & Alerts:Quantitative analysis, data mining and presentation of businessmetrics; identify drivers and build an end-to-end communicationframework based on business value, effort andurgency
- Process Improvement: Work with allteams to drive inter- and intra- departmental efficiencies,optimize processes and prioritize systemenhancements
- Reporting: Build dashboards,internal / external reports and present key datasets to enable allteam members to efficiently and effectively monitor performance andprioritize their efforts
- Leadership: Lead asmall team of experts to deliver the above functions and be excitedby the challenge of mentoring team members across the chain andconnectivity teams
What you'llNeed to Succeed:
- 5+ years of leadership experience inanalytics/data science/insights/strategy
- 2+years' experience leading analytics, operational, productor other technical teams
- Expert domain of dataanalysis and data visualization tools and software such as Excel,SQL, Tableau, Python, R, or similar
- Strongstatistical modelling and machine learningknowledge
- Strong experience in finding datainsights and provide business recommendation to thebusiness
- Excellent communicator with superiorwritten, verbal, presentation and interpersonal communicationskills
- Ability to multi-task, prioritize andcoordinate resources
- Strong program/projectmanagement experience
- Bachelor'sdegree ideally in a business or quantitative subject (e.g. computerscience, mathematics, engineering, science, economics orfinance)
- Experience in articulating strategicissues and negotiating with C-level executives –experience in leading strategy consulting projects aplus
- People management – track recordof developing stars
- Ability and willingness todrive projects independently, working efficiently to deliverresults rapidly and engaging the relevant stakeholders throughoutthe process
Advanced AnalyticsExpertise:
- Strongknowledge of data analysis techniques ,including statistical methods, predictive modeling, data mining,and machine learning.
- Expertise indescriptive analytics ,diagnostic analytics ,predictive analytics , andprescriptive analytics to drivebusiness strategies and outcomes.
- Ability tointerpret large and complex datasets, identify trends, and generateactionableinsights.
DataManagement andStrategy:
- Deepunderstanding of data governance , dataquality, and data managementprinciples.
- Experience in developingdata strategies and frameworks fordata collection, cleaning, storage, andprocessing.
- Ensuring proper integration of dataacross multiple sources and departments to create a unified dataecosystem.
DataVisualization andReporting:
- Proficiencyin data visualization tools such asTableau , PowerBI , or QlikView tocreate clear, actionable, and visually compelling reports anddashboards.
- Ability to translate complex datafindings into user-friendly, executive-level presentations andreports.
- Strong command ofExcel for data manipulation, analysis,and visualization, especially in creating complex reports anddashboards.
Leadershipand TeamManagement:
- Experiencemanaging and mentoring a team of data analysts, data scientists,and other analytics professionals.
- Ability tofoster a collaborative and innovative team environment, promotingcontinuous learning and professionaldevelopment.
- Leadership in driving teamperformance and ensuring alignment with organizationalgoals.
BusinessAcumen:
- Strongunderstanding of business operations, objectives, and challenges,particularly in areas such asmarketing ,finance ,sales , andoperations .
- Abilityto translate data insights into business recommendations that drivegrowth, efficiency, and strategicdecision-making.
- Experience working with keybusiness stakeholders to prioritize analytics projects andinitiatives.
AdvancedAnalytical Tools andTechniques:
- Expertisein using statistical tools andprogramming languages likeR ,Python , orSAS for advanced dataanalysis.
- Familiarity with BigData technologies (e.g.,Hadoop ,Spark ) and databases likeSQL for managing largedatasets.
- Experience in usingmachine learning algorithms forpredictive and prescriptive analytics, and implementing them inbusinessapplications.
ProblemSolving and CriticalThinking:
- Ability todefine business problems and translate them into data-drivenanalytical approaches.
- Expertise in identifyingkey drivers and metrics and developing models that support businessdecisions.
- Strong problem-solving skills totackle complex data challenges and provide actionablerecommendations.
ProjectManagement:
- Provenexperience in project management ,ensuring that analytics initiatives are delivered on time andwithin budget.
- Skilled in setting priorities,managing timelines, and aligning analytics projects with businessobjectives.
SoftSkills
CommunicationandPresentation:
- Excellentcommunication skills, both written and verbal, for presentingfindings to both technical and non-technical stakeholders,including senior executives.
- Ability to craftclear narratives that highlight the business implications of datainsights.
- Comfort in delivering presentationsto executive teams, explaining the value of data insights in thecontext of the businessstrategy.
StakeholderManagement:
- Ability towork closely with senior leadership and cross-functional teams tounderstand business needs and deliver impactful analyticssolutions.
- Building relationships withstakeholders across the organization and guiding them ondata-drivendecision-making.
Collaborationand Influence:
- Stronginterpersonal skills to collaborate with other departments such asIT , productmanagement , andmarketing .
- Abilityto influence stakeholders and drive the adoption of data analyticsacross theorganization.
Analysis,AdministrativeTasks,Report Analysis
Employment Type: Full-time
Department / FunctionalArea: Administration
Experience: years
Gender: Male
Vacancy: 1