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Senior Data Associate Jobs in Baltimore, MD (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Baltimore, MD · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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Senior Data Associate information

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Senior Data jobs in Baltimore, MD?

The most popular types of Senior Data jobs in Baltimore, MD are:

What are popular job titles related to Senior Data Associate jobs in Baltimore, MD?

For Senior Data Associate jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Senior Data Associate jobs in Baltimore, MD look for?

The top searched job categories for Senior Data Associate jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Senior Data Associate jobs?

Cities near Baltimore, MD with the most Senior Data Associate job openings:

Senior Data Associate jobs near you

Data Scientist, Principal (DCO) Senior

Gormat

Annapolis Junction, MD • On-site

$195K - $210K/yr

Full-time

Re-posted 24 days ago

Job description

Overview
Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. May supervise others.
What You'll Be Doing:
  • Perform statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and reusable products that provide real value to Intelligence Analysts.
  • Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
  • Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, and periodically re-evaluate and refine machine learning models being used in production.
  • Curate and collect data from a variety of traditional and non-traditional sources. Extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.
  • Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
  • Work with analysts to interpret analytic results and refine analysis as needed.
  • Effectively communicate results and ideas to key decision makers, analysts, and other stakeholders and provide information as appropriate.
  • Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets.
  • Research latest data science tradecraft and technology.

What Required Skills You'll Bring:
  • Proficient in Python
  • Experience with Docker and Kubernetes
  • Experience with end to end workflows and projects
  • Three or more years of Defensive Cyber Operations experience
  • Three or more years of Machine Learning techniques and statistical model evaluation

What Desired Skills You'll Bring:
  • Demonstrated expertise with R or Python and SQL to manipulate data and draw insights from large and small data sets
  • Exposure to AWS (Amazon Web Services), Cisco CCNA, STIGs IAVA, Big Data Platform (BDP)
  • Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
  • A problem solver who can get in, be given a project, and use engineering skills to determine a solution
  • Jupyter Notebooks, Network Analysis Tools

Qualifications
Degree from an accredited college or university in System Engineering or related discipline and one of the following:
  • 10 or more years of experience with a Master's degree
  • 12 or more years of experience with a Bachelor's degree
  • 16 or more years of experience with an Associate's Degree or High School Diploma

TS/SCI with polygraph is required.

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