This role is an integral part of ourBusiness Intelligence and Analytics team. This role will work with enterprise data sets (both internal and external) and is responsible for designing, analyzing, and implementing datamodels and analysisin support of the Enterprise Data Management strategic initiatives.
Primary Job Function
Apply your expertise in quantitative analysis to see beyond the numbers and identify actionable insights and opportunities across business functions
Assess market opportunities, analyze current business performance and build statistical models to extrapolate current and historical trends into forward-looking forecasts
Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses, in order to increase efficiency of team’s workflows
Lead and coordinate cross-functional projects
Influence the direction of the business by effectively communicating results to the rest of the team and company leaders
Duties And Responsibilities
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Interpret data, analyze results using statistical techniques and provide ongoing reports
Work on massive structured, unstructured, transactional and real-time data sets from a variety of sources to analyze customer usage patterns and provide actionable, intuitive, impactful insights using metrics, algorithms, and statistics.
Work with US team’s operational experts to define projects, provide recommendations and implement solutions for data related projects
Data Quality– Work with the Data Management and Data Integrity team to develop a report and dashboard - quality assurance process to increase the data integrity of the reports and dashboards generated.
Work with management and team members to understand the key reporting and dashboarding requirements for all our data sets.
Ability to design, develop, test and implementdata management processesutilizing data from various production systems, data store(s)/data warehouse(s)/data mart(s). Strong knowledge of building SQL Queries.
Experience with Microsoft Azure suite overall (i.e. data factory, container services, dev ops, ML service)
Model deployment experience
Experience with pythonor R
Self-starter and has ability to troubleshoot root cause
Building Power BI reports/dashboards as needed.
Provide recommendations fordata infrastructureperformance optimization while maintaining data accuracy and integrity.
Minimum Experience And Formal Requirements
Bachelor’s Degree in a quantitative field (Economics, Math, Statistics, Engineering, Computer Science or similar discipline)
3+ years of experience conducting quantitative analysis in data science, analytics, or finance
Experience in SQL or a similar database querying language
Experience working with statistical packages such as R, SAS, Stata,etc
Academic or work experience with statistics (e.g. regressions, time series)
Experience in shifting priorities while maintaining organization and control
Experience collaborating with cross-team stakeholders
Experience with synthesizing and communicating narratives based on data-driven analyses
Experienced in Microsoft Excel and PowerPoint
Intermediate to Expert proficiency with Microsoft Azure Suite
Experience with development of BI dashboards – Power BI preferred, but experience with other tools (QLIK, Tableau, etc.) is acceptableand a plus
Knowledge ofSalesforce.com, NetSuite,Calidus,andMarketoa strong plus