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Entry Level Data Analyst Fintech Jobs in Ohio (NOW HIRING)

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

... 66th on FinTech 100 35th among top private companies in New Jersey Collabera recognizes true ... Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ...

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

... across fintech, healthtech, and SaaS companies. • Certification Support - Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world ...

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

... Gartner Data Analytics Summit (Florida)-2023 SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube For preparing for interviews please visit We are looking for the right matching ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

SynergisticIT Job Opportunity SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all ...

For entry level job seekers to get client interviews and jobs they need to differentiate themselves ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Data Protection Sr. Analyst

Cincinnati, OH · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection Sr. Analyst

Columbus, OH · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection Sr. Analyst

Cleveland, OH · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analyst Fintech information

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst in Fintech, and why are they important?

To thrive as an Entry Level Data Analyst in Fintech, you need strong analytical skills, a solid grasp of statistics, and a degree in a related field such as mathematics, finance, or computer science. Familiarity with data analysis tools like SQL, Python, and Excel, as well as financial data platforms, is typically expected. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills are important for accurately analyzing complex financial data, driving data-driven decisions, and supporting the company's strategic goals.

What are some typical projects or tasks that an entry level data analyst in a fintech company might work on?

As an entry level data analyst in fintech, you’ll often assist with tasks such as cleaning and preparing large financial datasets, creating basic reports and dashboards, and supporting more senior analysts with ad-hoc data requests. You may also help monitor transaction trends for fraud detection, contribute to customer segmentation projects, and automate routine data processes. Collaboration with product, engineering, and compliance teams is common, and you’ll gain valuable exposure to the fast-paced, data-driven decision-making environment typical of fintech companies.

What does an entry level data analyst do in the fintech industry?

An entry level data analyst in fintech is responsible for collecting, cleaning, and interpreting data related to financial products and services. Their work typically involves analyzing large datasets to identify trends, support business decisions, and improve financial products. They may also create dashboards or reports to visualize data findings for other teams. Additionally, entry level analysts often collaborate with engineers, product managers, and senior analysts to ensure data accuracy and relevance. This role provides a strong foundation in both data analysis and the unique challenges of the financial technology sector.

What is the difference between Entry Level Data Analyst Fintech vs Entry Level Data Scientist Fintech?

AspectEntry Level Data Analyst FintechEntry Level Data Scientist Fintech
Required CredentialsBachelor's in Data, Finance, or related field; basic SQL and Excel skillsBachelor's in Data Science, Statistics, or related; programming skills in Python/R; some certifications
Work EnvironmentData analysis teams within fintech companies, focusing on reporting and dashboardsData science teams, working on predictive models and advanced analytics
Employer & Industry UsageCommon in fintech firms for operational insightsLess common at entry level, more in research and development roles

Entry Level Data Analyst Fintech roles focus on interpreting data, creating reports, and supporting decision-making with basic analytics. Entry Level Data Scientist Fintech positions involve more advanced statistical modeling and programming. While both roles require a strong foundation in data concepts, data scientists typically need additional technical skills and certifications. The analyst role is more accessible for beginners, whereas data scientist roles are more specialized and technical.

What are the most commonly searched types of Data Analyst Fintech jobs in Ohio? The most popular types of Data Analyst Fintech jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Analyst Fintech jobs? Cities in Ohio with the most Entry Level Data Analyst Fintech job openings:
Entry Level Data Analyst

Entry Level Data Analyst

SynergisticIT

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Opportunities at Synergisticit

2024 is almost over and we hope the job market improves. Almost 600,000 tech employees have been laid off since 2022 and it's still ongoing. The effect of this has led hundreds of thousands of laid off tech employees competing with existing jobseekers.

Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews.

In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. Please check the below links: Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do tech companies not hire recent computer science graduates | SynergisticIT Technical skills or experience? | Which one is important to get a job? | SynergisticIT For preparing for interviews please visit https://www.synergisticit.com/interview-questions/ We are looking for the right matching candidates for our clients Please apply via the job posting.

Required skills for Java/Full stack/Software programmer:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, PowerBI, SAS, Tensorflow. If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.