Job Summary: 

• Build and lead an analytics team.
• Understand the needs of the industry and identify gaps that could be addressed with Data.
• Think deeply about the most impactful way to address these gaps.
• Identify the available or most appropriate data sources.
• Select and design the appropriate analytics or data science methods/models.
• Develop, test, and bring to production these methods/models.
• Ensure quality in our modeling and conduct regular code review activities.
• Work with the Data Strategy team to turn analytics into concrete products and services.
• Bring these to market and the company's customers.
• Partner to help improve processes where data can assist in optimization
• Research opportunities and tools to better enable data and analytics capability

Skills on Resume: 

• Team Leadership (Soft Skills)
• Industry Analysis (Hard Skills)
• Problem-Solving (Soft Skills)
• Data Source Identification (Hard Skills)
• Analytics Methodology Design (Hard Skills)
• Model Development and Testing (Hard Skills)
• Code Review and Quality Assurance (Hard Skills)
• Product Development and Marketing (Hard Skills)

Job Summary: 

• Support local sales teams in pursuit of business opportunities, and engage customers to illustrate how Google Cloud can address their requirements.
• Be an external representative of Smart Analytics in the region for Google Cloud, including press and analyst communities, customers, and partners.
• Reflect on the input of the customers, partners, and field in the region to influence a data-driven vision and direction for technology, solutions, and use case development at Google Cloud.
• Partner closely with Customer Engineering leaders, Product leaders, and Sales strategy, to ensure solutions alignment with engineering, product priorities, and go-to-market priorities.
• Work with Customer Engineering leadership to develop and motivate a team of engineers spanning specialists in areas of focus
• Assist in the delivery of published materials aligned to the specific specialist focus areas supporting Google Cloud solutions and use cases.
• Take ownership of the enterprise data platforms (Azure Data Platform, Power BI, SAP DW's and BIBO, Qlik).
• Provide strategic guidance on future data warehousing, business intelligence, analytics, and data aging/retention needs across the Group of Companies.
• Collaborate with business stakeholders to deliver solutions
• Take a hands-on approach while engaging with onshore and offshore teams to achieve delivery needs.
• Support and consult with other teams in the business, including sales/marketing/finance/etc.

Skills on Resume: 

• Sales Support (Soft Skills)
• Customer Engagement (Soft Skills)
• Public Representation (Soft Skills)
• Data Vision Development (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Team Development (Soft Skills)
• Data Platform Management (Hard Skills)
• Data Analytics Strategy (Hard Skills)

Job Summary: 

• Manage a small team of big data, backend (Java) and frontend (Ext JS) developers and frontend developers
• Lead team in the architecture, design and development of highly available, low latency, cloud-native big data applications
• Implement big data pipelines ingesting large volumes of data, and optimize the data processing engine
• Identify opportunities to optimize the existing solution, suggesting performance improvements with a focus on cost reduction
• Conduct code reviews, troubleshoot, and ensure team’s adherence to the highest level of quality in writing complex, maintainable code to develop scalable and flexible applications
• Lead cross-functional team members and stakeholders throughout projects of varying scope and complexity
• Leading a growing team of data-minded people, from data analysts to data engineers (6 team members)
• Contribute to designing and owning the data roadmap for the organization, including defining strategic projects and then owning their successful delivery
• Interface with all business-facing teams regarding any client data needs
• Be a role model and mentor for junior team members
• Maintain an open communication style to work efficiently and transparently
• Act as a data product owner within SaaS solution to propose new features and plan their successful delivery.

Skills on Resume: 

• Team Management (Soft Skills)
• Architecture and Design (Hard Skills)
• Big Data Pipeline Implementation (Hard Skills)
• Performance Optimization (Hard Skills)
• Code Review and Quality Assurance (Hard Skills)
• Cross-Functional Leadership (Soft Skills)
• Data Roadmap Development (Hard Skills)
• Mentorship and Communication (Soft Skills)

Job Summary: 

• Be a part of a data warehouse project to make data available to everyone inside the company
• Prepare to dig into the mountains of data that will be collected from OS, from different market segments(from emerging markets to developed markets)
• Be a thought partner to the business teams contributing to well-designed hypotheses and experimentation
• Serve as a subject matter expert on marketing and business experimentation
• Spread the use of analytics throughout the Marketing and Business organization, including those with a non-technical background
• Build compelling data visualizations that can be understood by stakeholders throughout the organization
• Translate data into actionable insight, e.g. drawing actionable insights and explaining in a tailored way to the audience 
• Work with a team to develop advanced analytics products
• Apply data visualization and statistical programming tools to enterprise data to support key mission outcomes
• Interact with clients on scope and project deliverables
• Continuous efforts to improve processes, increase data integrity, and provide quality consumer experience.

Skills on Resume: 

• Data Warehouse Project Participation (Hard Skills)
• Data Analysis (Hard Skills)
• Business Partnership (Soft Skills)
• Subject Matter Expertise (Hard Skills)
• Analytics Advocacy (Soft Skills)
• Data Visualization (Hard Skills)
• Insight Translation (Soft Skills)
• Process Improvement (Soft Skills)

Job Summary: 

• Guide the team to move beyond descriptive reporting helping stakeholders identify relevant insights and actions from data.
• Define and refine AR’s data journey, unlock data insights, and effectively build cohesive and powerful stories to present to senior management.
• Explore relationships and trends in response to stakeholder questions and business challenges.
• Lead a project management team supporting highly cross-functional strategic projects.
• Create a plan to research and examine AR experiences and case processes to identify gaps in associate, client and manager interactions.
• Research, identify and develop solutions to business and client challenges and opportunities.
• Ensure all priorities ladder up to a system capable of providing comprehensive visibility on capacity, utilization, team development, etc.
• Partner to identify and manage new technology solutions, continuing to build on AR’s infrastructure and data journey (e.g. case management technology, data solutions, natural language processing)
• Assist in building AR’s brand across
• Develop strong partnerships with key stakeholders across HR and LOBs to expand the capabilities of the organization - specifically related to analytics, product experiences, and operational excellence.
• Oversee strategy for how we execute integrated horizontal delivery (pods, priorities, etc.)

Skills on Resume: 

• Insight Identification (Soft Skills)
• Data Journey Definition (Hard Skills)
• Trend Analysis (Hard Skills)
• Project Management (Soft Skills)
• Gap Analysis (Hard Skills)
• Solution Development (Hard Skills)
• Technology Management (Hard Skills)
• Stakeholder Partnership (Soft Skills)