Crescens Inc. · 5 hours ago
Analytics Specialist
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Responsibilities
Analyzing user data and metrics to drive specific business goals
Using data to isolate problems and develop solutions
Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
Providing insights and recommendations based on data
Bridging the data divide between technical, product, and customer-facing teams
Developing and applying data models to improve the collection and analysis of data
Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
Engaging in data experiments that provide cross-persona or enterprise-level analysis
Data cleansing, optimizing, and ETL
Developing and analyzing user surveys
Organizing and storing data and queries for easy access in future work projects
Documenting data collection and analysis procedures
Preparing and executing ROI analysis
Developing a data practice that incorporates strategy, training, tool development, and support
Communication and collaboration with cross-functional teams and government partners
Crafting compelling presentations and narratives from data findings
Explaining data analysis to stakeholders with varying levels of data comprehension
Using data to help internal teams improve capabilities and operations
Training non-technical teams on data analysis and its real-world application
Performing competitor research to help improve products and services
Researching latest market trends and implementing knowledge
Organizing focus groups and feedback loops to establish data collection
Establishing and integrating appropriate KPIs to help track success
Improving research or data management environments
Establishing standardized testing of products/services using data
Ability to juggle multiple project workstreams
Ability to maintain strict confidentiality
Judgment in dealing effectively and diplomatically with all levels of government staff
Qualification
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Required
Analyzing user data and metrics to drive specific business goals
Using data to isolate problems and develop solutions
Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
Providing insights and recommendations based on data
Bridging the data divide between technical, product, and customer-facing teams
Developing and applying data models to improve the collection and analysis of data
Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
Engaging in data experiments that provide cross-persona or enterprise-level analysis
Data cleansing, optimizing, and ETL
Developing and analyzing user surveys
Organizing and storing data and queries for easy access in future work projects
Documenting data collection and analysis procedures
Preparing and executing ROI analysis
Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)
Proficiency in Python or R for data manipulation and analysis
Data modeling, data governance, and data quality best practices
Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
Using business intelligence tools like Tableau or Power BI
Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
Leveraging statistical analysis and algebra
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting data processes and configurations
Developing a data practice that incorporates strategy, training, tool development, and support
Communication and collaboration with cross-functional teams and government partners
Crafting compelling presentations and narratives from data findings
Explaining data analysis to stakeholders with varying levels of data comprehension
Using data to help internal teams improve capabilities and operations
Training non-technical teams on data analysis and its real-world application
Performing competitor research to help improve products and services
Researching latest market trends and implementing knowledge
Organizing focus groups and feedback loops to establish data collection
Establishing and integrating appropriate KPIs to help track success
Improving research or data management environments
Establishing standardized testing of products/services using data
Ability to juggle multiple project workstreams
Ability to maintain strict confidentiality
Judgment in dealing effectively and diplomatically with all levels of government staff
Preferred
Deep domain knowledge for a particular industry – especially Health, Business, or Education
Experience with behavioral or CRM-related metrics platforms
Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
Experience with machine learning, AI, and cognitive service engine models
2 years experience with Power BI or other data visualization platforms
2 years of user research and feedback analysis
2 years of data governance and working within data security groups
1 year of API development
1 year of marketing experience, supported through metrics
1 year of project management experience
1 year of experience with customer relationship management platforms such as Salesforce
1 year of experience with web content management platforms such as Sitecore
Company
Crescens Inc.
At Crescens Inc, we lead the way in US IT Staffing and Project Services, always staying one step ahead of our clients' expectations across North America.
H1B Sponsorship
Crescens Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase