Data Visualization Analyst

Location: Long Island City

Company Overview:

With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished.

The breadth of our innovative programs provides the widest range of choices for every member of our team.

With grant funds from the Centers for Disease Control and Prevention (CDC), DOHMH is undertaking a new initiative that will meet critical infrastructure needs and make possible strategic investments that will have lasting effects on public health. Investments and improvements through this initiative will help modernize DOHMH's foundational capabilities and data infrastructure, enabling it to partner in complex health and health care environments and, in turn, support better public health outcomes, including COVID-19.

This initiative supports larger efforts to rebalance investments in public health and more equitably serve communities and populations.

Program

Description:

The agency is embarking on a data modernization initiative to accelerate its data strategy. During the COVID-19 pandemic, data was the life blood of the agency's response to making informed data-driven decisions and policies that directly impacts the lives of New Yorkers. These included operational data in our vaccination campaign at the Vaccine Hubs, distribution strategy throughout the city's vaccine infrastructure, as well as health equity data breaking down lab tests, positive cases, hospitalizations, deaths, and vaccination rates by age, place, and race.

With grant funding support from the Centers for Disease Control (CDC), DOHMH is embarking on a data modernization initiative to move from siloed and brittle public health data systems to connected, resilient, adaptable, and sustainable systems. This initiative is not just about technology, but also about putting the right people, processes, and policies in place.

NYC DOHMH's modernization strategy focuses on key areas in data collection, storage, processing (including transformation, standardization, matching, deduplication), data integration and exchange, data analysis and data reporting and visualization

The DMI initiative will allow DOHMH to build up foundational technology capabilities within the Division of Information Technology. This includes increasing capacity, knowledge, and experience with Azure cloud technologies within the broader NYC cloud and cybersecurity infrastructure and all within the context of public health.

The selected candidate will be an employee of PHS, but work will be supervised by DOHMH. This is a grant-funded position ending in November 2027.

Position Summary:

The agency is seeking a talented and detail-oriented Data Analyst/Data Visualization Analyst to transform raw data into actionable insights. In this role, you will be responsible for collecting, analyzing, and visualizing data to support strategic decision-making across the organization. You will work closely with various teams to understand their data needs and provide them with clear, compelling visualizations and reports.

Job Duties:

* Gather data from various sources, including databases, spreadsheets, and APIs.

* Clean, transform, and validate data to ensure accuracy and consistency.

* Develop and maintain data pipelines. Understand clients' business processes to better guide them on technology decisions

* Perform statistical analysis to identify trends, patterns, and insights.

* Develop and implement data models and algorithms.

* Create reports and dashboards to communicate findings to stakeholders.

* Design and develop interactive dashboards and visualizations using tools like Tableau, Power BI, or similar.

* Create clear and compelling visualizations that effectively communicate data insights.

* Ensure visualizations are accessible and user-friendly.

* Collaborate with stakeholders to understand their data needs and…