Analytics Architect
Avanade
This career opportunity is available in our following locations: Boston, New York, Philadelphia
As an Advanced Analytics candidate, you will leverage your understanding of complex data analysis and modeling to ensure Avanade project teams and clients can successfully extract value from their data. Working under the direction of your team members, this role supports hypothesis generation and testing, exploratory analysis, data preparation and ingestion for statistical modelling/machine learning/deep learning, building machine learning or deep learning models and model interpretations. You will be expected to make prescriptive recommendations for how to use the data to guide impactful business-decision making. Additionally, you will support junior team members when applicable.
Key Role Responsibilities: Day-to-day you will:
- Build solutions for Avanade's clients driven through data analysis that may include complex, high-dimensional datasets, both structured and unstructured.
- Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance.
- Apply working expertise of statistics, machine learning, programming, data ingestion, data modeling, simulation, deep learning and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision-making
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
- Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.
- Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations
- Provide input and guidance on data visualization techniques and opportunities
- Be recognized as advanced individual contributor and work with minimal supervision with high latitude for independent judgement
- Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
- Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.
- Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations
- Provide input and guidance on data visualization techniques and opportunities
- Be recognized as advanced individual contributor and work with minimal supervision with high latitude for independent judgement
- Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information. Key Role Skill & Capability Requirements: Your technical/non-technical skills include:
- Proficient with necessary analytics tools (e.g., R, Python, SQL, R, SAS, SPSS, MATLAB, Power BI, MicroStrategy, and Tableau) [HIRING MANAGER SPECIFIC] --Strong knowledge of Python and the library ecosystem is preferred
- Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization algorithms
- Proficiency in at least one high level programming languages such (i.e. S, C++, Python, Julia, etc)
- Proficiency in statistical modeling tools
- Able to explain complex analytical methodologies and concepts in non-technical language
- Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)
- Exceptional written and verbal communication and presentation skills --Strong knowledge of Python and the library ecosystem is preferred
- Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization algorithms
- Proficiency in at least one high level programming languages such (i.e. S, C++, Python, Julia, etc)
- Proficiency in statistical modeling tools
- Able to explain complex analytical methodologies and concepts in non-technical language
- Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)
- Exceptional written and verbal communication and presentation skills Preferred Certifications: Microsoft Professional Program for Data Science Preferred Education Background: You likely possess a Bachelor's/Master’s/ PHD degree in Applied Mathematics, Statistics, Analytics, Operations Research, Economics/Econometrics, Engineering or another relevant quantitative field. An equivalent combination of education and experience will Preferred Years of Work Experience: You likely have about 1-2+ years' relevant professional experience. Preferred Years of Management Experience: Scope of Work: Nature of Work: Executes project/program plans and processes in alignment with established operational objectives. Scope of Work: Primarily focused on own work, and execution of prescribed work plans. Complexity: Complex problems primarily within one's occupation / discipline that require personal judgement of contextual factors. Discretion: Wide latitude in approach to work within established work plans. Organizational Impact: Work efforts have an immediate impact on Avanade and/or client operations. Supervision Received: Works under general guidance and direction, but fully independent in own work with latitude for autonomous decision-making related to work process. Supervision Provided: Supports more junior colleagues on work efforts, with some checking of work. Knowledge Applied: Applies advanced knowledge of a learned occupation / discipline. Accountabilities & Metrics: Accountable for:
- Chargeability target
- Personal goals
Interested candidates please visit: https://careers.avanade.com/jobsenus/JobDetail/Analytics-Architect/3346
Avanade leads in providing innovative digital services, business solutions and design-led experiences for its clients, delivered through the power of people and the Microsoft ecosystem. Our professionals combine technology, business and industry expertise to build and deploy solutions to realize results for clients and their customers. Avanade has 29,000 digitally connected people across 23 countries, bringing clients the best thinking through a collaborative culture that honors diversity and reflects the communities in which we operate. We welcome all, and seek talented individuals who can bring their whole self to work, build inclusive teams and encourage diversity inside and outside the organization. Majority owned by Accenture, Avanade was founded in 2000 by Accenture LLP and Microsoft Corporation.
Avanade® Is An Equal Opportunity Employer. Avanade prohibits discrimination and harassment against any employee or applicant for employment because of race, color, age, religion, sex, national origin, gender identity or expression, sexual orientation, disability, veteran, military or marital status, genetic information or any other protected status.
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