Lead Data Strategist
Hartford, CT
12 months
Location- Remote
The Data Strategy and Analytics Lead will be a key player in establishing a robust, scalable, and accessible data practice
You must have a deep understanding of data modelling, user research, data analysis, visualizations, and the strategic application of data to improve service delivery at every stage of the customer lifecycle. You will need to have a strong background in quantitative/qualitative data management, data research methodologies, data engineering, data analysis, business intelligence, and executive-level communication skills to be successful in this role. There will be a heavy emphasis on first party / transactional data as well as Google Analytics, Google Search Console, CMS platform, and other behavioral metric systems.
Strategy, Communications, and Governance 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.
Bachelor s 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.
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
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