Data Management Analyst

Metas Solutions; Atlanta (GA); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading company, Metas Solutions, is seeking a Data Pipeline Manager to provide analytical support for public health programs. This role involves managing complex data pipelines and requires expertise in coding languages like Python and SQL, as well as experience with tools like Palantir Foundry. Join a team committed to improving public health data analytics and make an impact with your skills.

Benefits

Comprehensive benefits package

Medical, Dental, Vision insurance

Paid Time Off (PTO)

401K with company match

Growth and promotion opportunities

Qualifications

• 3+ years supporting federal government in support roles required.
• Experience with data wrangling tools and conducting data analysis.
• Ability to write data cleaning scripts and manage large datasets.

Responsibilities

• Produce data extracts and perform data quality checks.
• Develop Python, R, or SQL programs for data management.
• Maintain knowledge for managing large data sets.

Skills

Data wrangling

Data analysis

Problem-solving

Communication

Analytical skills

Education

Bachelor's degree in Computer Science

related discipline

Tools

Python

SQL

R

Microsoft Azure

Palantir Foundry

Databricks

PowerBI

Job description

About Us:

Metas Solutions is a professional services firm that offers technical assistance and consultation to the federal government in the areas of public health capacity building and information technology ideation and implementation. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "immediate opening" for an experienced Data Pipeline Manager to work remote with the possibility of working onsite in Atlanta, GA at some point in the future. In this role you will provide public health programmatic, epidemiological, and scientific analytical support to the CDC Office of Public Health Data, Surveillance and Technology manage a cloud-based solution housing complex data pipelines of various licensed large, "big data" sets of healthcare, EMR and other clinical data. End users of the data are scientists performing research and studies and complex data analysis using variety of tools such as R, Python, SAS, SQL and other proprietary tools. You'll prepare and automate data loads, perform quality assurance, develop algorithms, write scripts, and use the right combination of tools and frameworks to effectively manage and refresh these data assets. You'll assist in providing clients with a deep understanding of their data, what it all means, and how they can use it. The role with transition to an Palantir based solution in the next 6-12 months so experience using Palantir Foundry is required.

Responsibilities:

• Produce data extracts and cleaning scripts
• Perform data quality on data pipelines.
• Perform data wrangling and develop data ingest and data prep automation tools
• Develop and document Python, R, or SQL programs, views, and databases
• Focus is on packaging, handling and handle all data pipeline procedures in preparation for preparation of data visualization and dashboard outputs
• Maintain requisite knowledge (coding) for managing and analyzing large data sets using Python, SQL, or R coding language.
• Desired experience with data management using Palantir Foundry.
• Verify results and validate with other known information sources
• Develop data management and analysis materials and summarize and visualize results (for example, develop graphs for dashboards showing data metrics) using tools such as PowerBI or other reporting tools.
• Track technical assistance being provided to ensure request/queries are answered promptly and consistently
• Support the creation of Standard Operating Procedure (SOP) for data preparation, automation and our style guidelines for data visualizations and dashboard.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or related discipline and 3+ years supporting federal government in support roles required
• Experience with data wrangling tools and conducting data analysis and with data preparation techniques
• Experience developing in Python, R, or SQL programs
• Experience with Microsoft Azure required
• Experience with Palantir Foundry
• Experience with Databricks (preferred)
• Experience with Big Data analysis programming techniques and technologies in a public health environment
• Experience with machine learning, data mining, statistical analysis, data structures (preferred)
• Experience with Public Health data analysis preferred
• Experience with creating data cleaning scripts
• Experience with relational databases and data pipeline
• Possession of excellent analytical, data gathering, and problem-solving skills
• Knowledge with use of data visualization and dashboarding tools such as PowerBI
• Experience supporting multiple concurrent on-going activities
• Excellent communication and interpersonal skills

Security Requirements:

• Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.
• Market competitive salary, commensurate with experience and education.
• Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities