43 Data Analyst (BI and Data Science) Jobs in Dallas, TX
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ERISA RECOVERY GROUP LLC is Hiring a Data Analyst (BI and Data Science) Near Dallas, TX
As a Data Analyst on our Business Intelligence and Data Science team, you will play a crucial role in supporting our data-driven decision-making process. Your expertise in SQL, Python, and PowerBI will contribute to the development and refinement of our analytical tools and reports. This role is ideal for someone passionate about leveraging data to solve problems and improve processes.
Key Responsibilities
- Report Management: Update and distribute company-wide reports, ensuring timely and accurate delivery.
- SQL Query Writing and Documentation: Craft efficient SQL queries for data extraction and write clear documentation.
- Report Auditing: Ensure accuracy and reliability of reports.
- Python Programming for Automation: Utilize Python, especially Pandas, for automating data processes.
- Solution Development: Develop solutions to enhance business intelligence capabilities.
- Problem/Bottleneck Identification: Identify and address data-related bottlenecks and challenges.
- Code Refactoring: Improve existing code for better efficiency and readability.
- Data Entry: Perform data entry tasks with a high degree of accuracy.
- IT Support: Provide IT support as needed (potential responsibility).
Essential Skills & Qualifications
- Proficiency in SQL.
- Experience with Azure.
- Strong skills in Python programming, particularly with Pandas.
- PowerBI expertise.
- Experience with Salesforce.
- Strong data visualization skills.
- Excellent problem-solving abilities.
- Knowledge of analytics.
- Proficiency in Excel.
- Background in Statistics.
- Machine Learning experience a plus
Job Summary
Full Time
$83k-112k (estimate)
01/24/2024
04/20/2024
The following is the career advancement route for Data Analyst (BI and Data Science) positions, which can be used as a reference in future career path planning. As a Data Analyst (BI and Data Science), 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 (BI and Data Science). You can explore the career advancement for a Data Analyst (BI and Data Science) below and select your interested title to get hiring information.
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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.
12/10/2021: Lynchburg, VA
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.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
12/21/2021: New London, CT
Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
12/24/2021: Alamogordo, NM
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.
02/20/2022: Laramie, WY
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.
03/02/2022: Grand Forks, ND
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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