Job Requirements:
- 8-10+ years relevant work experience providing advanced analytics solutions in the geo-spatial sector or 5+ years in consulting experience.
- Undergraduate degree in a field linked to business analytics, statistics, economics, applied mathematics, computer science, engineering, operations research, or related field is required, advanced degree is preferred
Key Competencies:
- Autonomous, self-starter with a passion for analytics and problem solving
- Practical, tenacious approach to problem solving
- Strong work ethic & service-mentality
- Strong codification & development of knowledge products
- Ability to provide analytical advice to laymen
- Ability to multi-task & operate effectively in a fast-paced matrix organization
- Ability to work in a fast-paced environment and to manage multiple parallel tasks
- Strong interpersonal skills and credibility as well as collaborative, team player
- Ability to understand and manage complex reporting relationships
- Ability to maintain discretion when needed
- Demonstrated analytical expertise, including the ability to synthesize complex data, effectively manage complex analyses, technical understanding of system capabilities and constraints
- Demonstrated expertise to orchestrate analytical insights and facilitate business change
Commercial skills:
Strong experience building analytical solutions and delivering tangible business value for (one or more of the following):
- Geospatial data analyses (Cluster detection and geo statistical analyses)
- Spatial-temporal analysis (cartographic animation of time-series data)
- Network analysis (location-allocation, travelling sales person, vehicle routing problem)
- Predictive modeling (logistic regression, linear regression, etc.)
- Others a plus
- Strong industry network
- Excellent project management skills
Technical skills:
Strong experience in core analytics methods (one or more of the following):
- Geospatial: e.g. geo-graphic cluster optimization
- Network Analyses (salesforce optimization, vehicle routing, …)
- Statistics (t-tests, ANOVA, …), variable reduction (FA, PCA, …)
- Predictive modeling: e.g. logistic regression, linear regression
- Time series analysis: e.g. ARIMA, VAR, etc.
- Text mining & unstructured data analytics
- Simulation: e.g. MC, dynamic, discrete event
- Familiarity with a broad base of analytics tools (one or more of the following):
- Data management: e.g. Excel, SQL, PostGRESql, Hadoop/Hive, Alteryx
- Analytics platforms: e.g. SAS, R, RapidMiner, SPSS
- GIS toolkits (ESRI, Quantum GIS, MapInfo or similar)
- ESRI Network Analyst, RouteSmart, RoadNet or similar
- Data visualization: Tableau, SSRS a plus
- GPS data analysis a plus
- Programming and/or scripting experience: e.g. VBA
Client Services skills:
- Strong business value focus
- Experience with 80/20 approaches
- Focused to deliver uncompromised work quality
- Effective oral and written communication skills (fluency in English is required)
- Senior presence & can operate/influence effectively in a matrix organization
- Well-developed management skills & business acumen
- Effective time management skills
- Strong presence, strong collaborator and leadership skills
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