125 Data Analyst Jobs in Charlotte, NC
Chello is Hiring a Data Analyst Near Charlotte, NC
Chello is built on a foundation of pioneering data-intelligence and our team of innovators, driven to tackle the financial challenges of the industries we serve. At its core, it’s the first of its kind digital banking platform that delivers daily business insights, cash flow predictions, access to funding and more.
We are a dynamic and innovative team seeking a talented Data Analyst to join us. Our organization is at the forefront of utilizing cutting-edge technologies, with a focus on modern tools such as Power BI & AWS QuickSight. If you are passionate about managing and analyzing large datasets, creating insightful reports and visualizations, and driving data-driven business decisions, we want to hear from you! Position works on-site and is based in Charlotte, North Carolina.
MAIN DUTIES & RESPONSIBILITIES:
- Collaborate with cross-functional teams to identify key business questions and data requirements.
- Collect, analyze, and interpret large and complex datasets using AWS services.
- Leverage data visualization tools to develop dashboards and reports that provide insights into business performance and trends.
- Monitor and analyze data to identify patterns, anomalies, and opportunities for optimization.
- Design and implement experiments to test hypotheses and measure the impact of business initiatives.
- Communicate findings and insights to stakeholders in a clear and concise manner.
- Continuously improve data quality, integrity, and accuracy.
- Stay up to date with the latest trends and technologies in data analysis and AWS services.
- Other duties may be assigned.
MINIMUM REQUIREMENTS:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science required.
- Three (3) years of experience in data analytics or a related field required.
- Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
- Strong analytical and problem-solving skills.
- Excellent computer skills, including Microsoft Office (Word, Excel, Power Point) required.
- Proficiency in Power BI as a data visualization tool required.
- Strong written and verbal communication skills.
PREFERRED QUALIFICATIONS:
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools is a plus.
- AWS QuickSight & Tableau expertise highly preferred.
- Understanding of database and analytical technologies in the industry, including NoSQL databases, Data Warehouse, BI reporting, and Dashboard development.
- Experience with AWS services such as Glue, Sagemaker, and EMR.
- Proficiency with SQL and NoSQL; experience working with databases such as DynamoDB, Aurora, or PostgreSQL, and AWS S3 Lake Formation.
Job Summary
Full Time
$90k-117k (estimate)
06/08/2024
06/26/2024
chello.com.au
Redfern
<25
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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.
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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.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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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.
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Step 3: View the best colleges and universities for Data Analyst.
