50 Data Analyst Jobs in Baltimore, MD
TAYS is Hiring a Data Analyst Near Baltimore, MD
OpportunityAs a Data Analyst professional, you will collect, process, and perform statistical analyses of data to support decision-making and help the organization achieve its objectives. The role of a Data Analyst involves extracting actionable insights from raw data, creating meaningful visualizations, and communicating findings to various stakeholders within the organization.
This position is permanent, W2 position and will consist of a hybrid schedule. The Data Analyst must be within 2 hours of Woodlawn, MD. Primary Responsibilities
- Data Collection and Processing:
- Gather and compile data from various sources, ensuring data accuracy, consistency, and reliability.
- Clean, transform, and preprocess raw data to prepare it for analysis.
- Data Analysis and Interpretation:
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the dataset.
- Utilize statistical and machine learning techniques to derive meaningful insights and predictions.
- Identify correlations, causations, and relationships between different data points.
- Build predictive models and conduct forecasting using statistical methods or machine learning algorithms.
- Evaluate model performance and refine models based on feedback and changing requirements.
- Report Generation and Visualization:
- Develop and maintain SharePoint dashboards, reports, and visualizations to effectively communicate data findings to stakeholders.
- Present data insights in a clear, understandable manner using visualization tools (e.g., Tableau, Power BI, etc.).
- Collaboration and Communication:
- Collaborate with cross-functional teams to understand business objectives and align data analysis efforts accordingly.
- Communicate findings, insights, and recommendations to technical and non-technical stakeholders.
- Continuous Learning and Improvement:
- Stay updated with the latest trends, tools, and techniques in data analysis and related domains.
- Proactively identify opportunities to improve data analysis processes and methodologies.
- 8 years of experience and a Bachelor's in Data Science, Statistics, Mathematics, Computer Science, or related field.
- Expertise in predictive analytics.
- Strong analytical thinking and problem-solving skills.
- Proficiency in programming languages such as Python, R, SAS, SQL, or similar.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of statistical analysis, machine learning, and data modeling techniques.
- Excellent communication and presentation skills.
- Ability to work in a collaborative team environment and adapt to changing priorities.
- The ability to obtain and maintain a Public Trust security clearance.
- Prior SSA experience.
- Experience with big data.
- Strong customer relationship management skills.
- Active Public Trust or higher
- Flexibility: Enjoy a work-life harmony with our flexible working options.
- Hybrid Work: While our heart is in Baltimore, most of our roles are hybrid.
- Benefits: Competitive packages, including tuition reimbursement.
- Leisure: Generous PTO, including 11 federal holidays and 2 floating holidays.
- Team Events: Quarterly gatherings for team bonding or community service.
- Military Friendly: We value the dedication and discipline of veterans and service members and urge them to apply.
Job Summary
Full Time
$96k-125k (estimate)
10/04/2023
07/06/2024
taysinc.com
Gwynn Oak, MD
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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.
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