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Live In Data Analyst Developer Jobs in Ohio (NOW HIRING)

CGI Inc.

Data Analyst

Cleveland, OH · On-site

Required qualifications to be successful in this role . 5+ years of experience in data analysis, data warehousing, or data engineering environments. . Strong hands-on experience with Informatica ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · On-site

$57/hr

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Proven 3-5 ...

CGI

Data Analyst

Cleveland, OH · On-site

Required qualifications to be successful in this role . 5+ years of experience in data analysis, data warehousing, or data engineering environments. . Strong hands-on experience with Informatica ...

Booz Allen Hamilton, Inc.

Data Analyst

Beavercreek, OH · On-site

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture ... Experience in data analysis * Experience with ETL performance optimization or data movement ...

Booz Allen Hamilton

Data Analyst

Beavercreek, OH

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture ... Experience in data analysis * Experience with ETL performance optimization or data movement ...

Booz Allen Hamilton, Inc.

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture ... Experience in data analysis * Experience with ETL performance optimization or data movement ...

Belcan

Data Analyst

West Chester, OH · On-site

$35 - $38/hr

Data Analyst Pay Rate: $35.00-$38.00/hour Location: West Chester Township, OH 45069 Area Code: 513 ... engineering to achieve business objectives in an on-site manufacturing environment. Key ...

RELX

AI Data Analyst

Dayton, OH

Proven experience in data analysis, analytics engineering, data operations, or data quality roles. * Good understanding of data quality principles and how poor data impacts downstream systems.

New

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept ... Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

R0241818 Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... Experience in integrating, developing, and maintaining analytic models, visualizations, and tools

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... Experience in integrating, developing, and maintaining analytic models, visualizations, and tools

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Live In Data Analyst Developer information

What jobs make $1,000,000 a year?

In the field of data analysis and development, earning $1,000,000 annually is rare and typically involves executive roles such as Chief Data Officer or senior data executives in large corporations, often combined with bonuses, stock options, or profit sharing. High-level roles requiring extensive experience, advanced skills in data management, analytics, and leadership are more likely to reach this income level, especially in industries like finance, technology, or consulting. Most data analysts and developers earn significantly less, with top earners reaching high six-figure or low seven-figure salaries through leadership positions or entrepreneurial ventures.

What jobs pay 200,000 a year in the USA?

In the USA, high-paying roles for data analysts or developers, such as senior data scientists, data engineering managers, or lead analytics developers, can reach or exceed $200,000 annually with extensive experience, advanced skills in programming, machine learning, and data architecture, and often require certifications or advanced degrees. These positions are typically found in large corporations, finance, technology, or consulting firms and may involve leadership responsibilities or specialized expertise.

What jobs in the US pay 300,000 a year?

For a Live In Data Analyst Developer, annual salaries of $300,000 or more are typically found in senior or executive roles such as data science directors, chief data officers, or specialized consulting positions. These roles often require extensive experience, advanced skills in data analysis, programming, and leadership, and may include bonuses or profit sharing that contribute to total compensation.

Is 40 too late for data science?

For a Live In Data Analyst Developer role, starting a career in data science at age 40 is feasible, as many skills such as programming, statistical analysis, and data visualization can be learned at any age. Experience, continuous learning, and relevant certifications like SQL, Python, or R can enhance employability regardless of age.

What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

What cities in Ohio are hiring for Live In Data Analyst Developer jobs? Cities in Ohio with the most Live In Data Analyst Developer job openings:
Live In Data Analyst Developer jobs near you

Data Analyst

PatientPoint - Invite Only

Cincinnati, OH • On-site

Other

Posted 7 days ago

Job description

Job Summary:  

We are seeking a detail-oriented and analytical Data Analyst to join our growing Analytics team. In this role, you will work with data to generate insights, build reports, and support decision-making across the organization. You will gain hands-on experience with data analysis, visualization, and reporting while collaborating with cross-functional teams. 

What You'll Do 

  • Collect, clean, and analyze large datasets to support business objectives. 
  • Assist in automating data workflows and reporting processes. 
  • Maintain and improve data quality by ensuring accuracy and consistency. 
  • Identify trends, patterns, and insights in data to drive business decisions. 
  • Provide ad-hoc analysis and quick turnaround data support to answer urgent business questions with trusted, accurate insights. 
  • Stay up to date with industry best practices in data analytics. 

What We Need 

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
  • Basic proficiency in SQL for querying and managing large datasets. 
  • Basic proficiency in programming languages such as Python (preferred) or R for data analysis and automation. 
  • Experience with data visualization tools such as Looker, Tableau, or Power BI. 
  • Familiarity with data modeling, statistical analysis and data visualization 
  • Familiarity with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure) 

What You'll Need to Succeed 

  • Strong analytical and problem-solving skills. 
  • Keen attention to detail and a proactive approach to problem solving. 
  • Ability to communicate complex data findings in a clear and concise manner. 
  • A learning mindset with a willingness to develop new skills, explore new tools, and adapt to evolving business needs. 
  • Excellent time management skills and ability to work collaboratively in a team environment. 
  • Strong customer service orientation. 

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