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

Data Engineer - Senior Associate

Baltimore, MD ยท On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Showing results 21-40

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:

Sr. Data Scientist (Python)

Power3 Solutions

Fort George G Meade, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

We solve difficult business, IT, and analytic problems by addressing the whole problem - not just the symptoms - using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.
We are hiring a Sr. Data Scientist to work in Fort Meade, MD. Position location is subject to change based on central MD client's needs - will provide salary range proactively.
Required: TS/SCI with a Polygraph
Employ some combination (2 or more) of the following skill areas:
  1. Foundations: Mathematical, Computational, Statistical
  2. Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
  3. Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific considerations

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.
Individual Capabilities/Experience Required:
  • A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses designated as elementary or basic do not count.
  • Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred.

We have all the PERKS!
You are our most valuable resource - your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. We have you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.
  • Competitive health, dental, and vision plans with 100% paid premiums.
  • 401k: We contribute 6% even if you don't!
  • Time Off: 11 standard holidays, and 25 days of PTO
  • Career Development: Get career counseling and individualized career development plans, including education and training.
  • Employee referral bonuses for successful hires

We are an Equal Opportunity/Affirmative Action employer.
We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Power3 Solutions
Partnering with federal, state, and local organizations to bring the best talent to the right roles.
https://power3.com/
Talent@power3.com
https://www.linkedin.com/company/power3-solutions