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IT Business Intelligence Developer-CT-DAS-Need Local candidate at Remote, Remote, USA
Email: [email protected]
From:

Nagajyoti,

INNOZA TECH LLC.

[email protected]

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Position: IT Business Intelligence Developer

Location: CT-DAS

Duration: 12 Months

Client: CT DAS

Need 10+ Years candidate

Need local candidate

About the Role

The Data Specialist will work closely with our cross-functional project team focused in building and improving the State of Connecticuts digital government services. The Data Specialist will support the team by collecting, interpreting, and analyzing multiple data sources to help the State understand user needs, the effectiveness of State programs, and discover opportunities to create better user-centered solutions.

You will need to have a deep understanding of data modelling, user research, data analysis, visualizations, and how to use data to improve the delivery of critical business services. You have a strong background in quantitative/qualitative data management, machine learning, data research methodologies, and the focused application of data analysis to fix problems and address emergent customer trends.

You will be fully engaged with digital development teams and front-facing with team leaders to help advance enterprise success strategies that will improve customers lives.

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

Capabilities

    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 with dev and end-user applications for Googles GA4 platform

    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

    Proactively identifying challenges, opportunities, and solutions to problems

    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

Keywords: artificial intelligence business intelligence rlang information technology Connecticut Georgia
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Tue Sep 26 20:42:00 UTC 2023

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