Data Scientist

STI

Hartford (CT)

On-site

USD 90,000 - 130,000

Full time

7 days ago
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Job summary

STI in Hartford, CT is seeking a data-centric professional to analyze data and customer metrics to drive business goals. You will build dashboards, collaborate with technical and business teams, and apply data models to improve data collection and insights.

The role involves ROI analysis, KPI development, and presenting findings to non-technical stakeholders, with emphasis on data governance and reproducible research in a fast-paced environment.

Qualifications

  • Experience with data analysis to drive business insights.
  • Proficiency in SQL, Python, R, and Scala.
  • Experience with BI tools like Tableau or Power BI.
  • Experience collecting data from on-prem and cloud platforms (Microsoft, Azure, Salesforce).
  • Ability to organize data, document procedures, and present findings to stakeholders.

Responsibilities

  • Analyze data and customer metrics to meet business goals.
  • Create dashboards and reports for non-technical users.
  • Bridge the gap between technical and business teams through data.
  • Develop and apply data models to improve data collection and analysis.
  • Perform ROI analysis and monitor KPIs.

Skills

Machine learning
SQL
Python
R
Scala
Google Analytics
Tableau
Power BI
Azure
Salesforce
Sitecore
Statistics
Data modelling
Data governance

Education

Bachelor's degree in CS / IT / Business / Economics / Information Science

Tools

API development
Salesforce
Sitecore

Job description

Experience Required For This Role
  • Analyzing data and customer metrics to fulfill specific business goals
  • Using data to help teams improve functionality and operations
  • Developing and applying data models to improve the collection and analysis of data
  • Bridging the divide between technical and business teams through data
  • Communicating data analysis to various levels of stakeholders through visualizations
  • Data cleansing, optimizing, and ETL
  • Developing and analyzing user surveys
  • Expertise in the principles and operating procedures of a specific industry
  • Performing competitor research to help improve products and services
  • Researching latest market trends and implementing knowledge
  • Creating dashboards and reports that are easy to understand for non-technical users
  • Organizing and storing data and queries for easy access in future work projects
  • Documenting data collection and analysis procedures
  • Organizing focus groups and feedback loops to establish data collection
  • Using data to isolate problems and develop solutions
  • Discovering and establishing proper KPIs to help track success
  • Preparing and executing ROI analysis
  • Establishing testing of products/services based off data analysis
  • Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
  • Providing insights and recommending changes based on data findings
Experience Required For This Role
Data Research & Analysis

at least 3 years of measurable experience in the following:

  • Analyzing data and customer metrics to fulfill specific business goals
  • Using data to help teams improve functionality and operations
  • Developing and applying data models to improve the collection and analysis of data
  • Bridging the divide between technical and business teams through data
  • Communicating data analysis to various levels of stakeholders through visualizations
  • Data cleansing, optimizing, and ETL
  • Developing and analyzing user surveys
  • Expertise in the principles and operating procedures of a specific industry
  • Performing competitor research to help improve products and services
  • Researching latest market trends and implementing knowledge
  • Creating dashboards and reports that are easy to understand for non-technical users
  • Organizing and storing data and queries for easy access in future work projects
  • Documenting data collection and analysis procedures
  • Organizing focus groups and feedback loops to establish data collection
  • Using data to isolate problems and develop solutions
  • Discovering and establishing proper KPIs to help track success
  • Preparing and executing ROI analysis
  • Establishing testing of products/services based off data analysis
  • Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
  • Providing insights and recommending changes based on data findings
Knowledge, Skills, And Ability
Data Science
  • Experience with machine learning, AI, and cognitive service engine models
  • Experience with programming languages like SQL, Python, R, and Scala
  • Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
  • Experience using business intelligence tools like Tableau or Power BI
  • Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
  • Engaging in data experiments to provide cross-persona or enterprise analysis
  • Leveraging statistical analysis and algebra
  • Improving research or data management environments
  • Leveraging economics, business/systems analysis, and quality assurance
  • Manipulating large, complex data sets
  • Documenting processes and modelling
Performance in Complex Situations
  • Communication and collaboration with cross-functional teams and state-wide partners
  • Clearing challenges for team members
  • Comfort in blazing a path through an ambiguous work environment
  • Judgement fitting to the ever-changing environment
  • Ability to juggle multiple project workstreams
Service Design Team Building
  • Supporting teammates' skills and behavior development and delivery
  • Advocating data strategies both internally and externally
  • A balance between strong domain expertise and flexibility
  • Prioritization, organization, and triage in an independent environment
  • Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
  • Ability to maintain strict confidentiality
  • Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
  • Deep domain knowledge for a particular industry – especially Health, Business, or Education
  • Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
  • 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
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