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Lead Data Strategist

Integrated Resources, Inc

Hartford, CT(remote)

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JOB DETAILS
JOB TYPE
Contractor
SKILLS
Algebra, Analysis Skills, Analysis Software, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Big Data, Business Intelligence Software, Business Solutions, Cloud Computing, Competitive Research, Computer Science, Content Management, Cross-Functional, Customer Relations, Customer Relationship Management (CRM), Customer/Client Research, Data Analysis, Data Collection, Data Lake, Data Management, Data Modeling, Data Modeling Tools, Data Quality, Data Sets, Data Visualization, Database Extract Transform and Load (ETL), Documentation, Economics, Focus Groups, Gap Analysis, Google Analytics, Government, IBM SPSS Statistical Package, Information Science, Information/Data Security (InfoSec), Leadership, Machine Learning, Market Research, Market Trend Analysis, Marketing, Metrics, Microsoft Excel, Microsoft Office, Microsoft Windows Azure, Operational Improvement, Performance Metrics, Power BI, Product Testing, Project/Program Management, Python Programming/Scripting Language, Quality Assurance, R Programming Language, Reporting Dashboards, Return on Investment (ROI), SQL (Structured Query Language), Sales Pipeline, Salesforce.com, Software Administration, Statistics, Structured Data, Systems Analysis, Tableau, Training Tools, Unstructured Data, User Surveys
LOCATION
Hartford, CT
POSTED
Today
Title: Lead Data Strategist Duration: 12 months Location: Remote Experience Required for This Role Data Collection & Analysis at least 3 years of measurable experience in the following: Analyzing user data and metrics to drive specific business goals. Emphasis on Google Analytics and other behavioral and analytical data. Using data to isolate complex problems and develop workable 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 Technical Expertise at least 3 years of measurable experience in the following: 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. Experience with modern data stack technologies (e.g., Synapse, Databricks, Snowflake, Airflow, or equivalent orchestration tools). Data modeling, data governance, and data quality best practices Administering analytics software and platforms (GA4, GTM, SPSS, Excel, Microsoft Office Suite) Using business intelligence tools like Tableau or Power BI Experience with all types of big data, both structured and unstructured 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 Strategy, Communications, and Governance at least 3 years of measurable experience in the following: Must have led a data function, practice, or vertical - not just participated in one Experience presenting analytical insights and data strategies directly to leadership 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 Other Preferred Skills & Qualifications Deep domain knowledge for a particular industry especially Health, Business, or Education Experience working in a large enterprise or public-sector environment, including navigating complex governance and multi-stakeholder structures Experience with first party, behavioral, and CRM-related metrics platforms Bachelors degree in computer science, business, IT, management, administration, economics, or information science Experience with machine learning, AI, and cognitive service engine models Demonstrated understanding of data ethics, bias mitigation, accessibility, and equitable data use in public sector or civic analytics settings. 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

About the Company

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Integrated Resources, Inc