Purple Drive Technologies

120 Purple Drive Technologies Data Analyst Jobs Hiring Near You

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential ... business and technology organizations. Experience working in an Agile environment using Lean ...

Senior Data Engineer

Columbus, OH · On-site

$102.40K - $139.10K/yr

Troubleshoot production issues in Oracle and MS SQL Server environments and drive timely resolution ... with cloud technologies (AWS, Azure, or GCP). * Strong analytical, problem-solving, and ...

Sr Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

... technology Strong data troubleshooting skills - Oracle and MS SQL preferred Strong teamwork and problem-solving skills Experience with software development lifecycle Experience with Agile Scrum ...

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Overview: Data Modeling, Performance Tuning, Traditional Or Cloud ETL/ELT Tools. Job Responsibilities: Understand on how the data is flowing and derive transformational process Understand the ...

... of data analytics and data literacy Must have the ability to easily assimilate information and learn new applications and processes Experience with agile product development; Advanced knowledge of ...

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Data Engineer Location: ONSITE- Columbus Total Exp: 6-8 Years Skills: Python, Py Spark, Snowflake We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data ...

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Purple Drive Technologies Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Infographic showing various Data Analyst job openings at Purple Drive Technologies in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Business Analyst(Banking)

Purple Drive Technologies

Columbus, OH • On-site

Full-time

Posted yesterday


Job description

Overview:
Experience: 8 yrs working for Banking domain - Preferably Capital markets
Role Description: To visualize the preprocessing required and work on deriving I/O mapping for the transformational process.
As an experienced BA working for our leading client, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be designing features that give our customers and clients more control over how they bank with the client, strategizing on how big data can make client's trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of client's private and public cloud platforms.
Job Responsibilities:
Identifies hidden problems and patterns in data and uses these insights to drive improvements.
Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems