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Live In Data Analyst Developer Jobs in Pittsburgh, PA

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Statistical Analysis: Proficiency in statistical methods and techniques. * SQL: Knowledge of ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

In this role, you will combine business and technical expertise to support a cloud data warehouse ... Support ETL processes and collaborate with developers and stakeholders to ensure solutions align ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

In this role, you will combine business and technical expertise to support a cloud data warehouse ... Support ETL processes and collaborate with developers and stakeholders to ensure solutions align ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

Stefanini

Analyst Developer

Pittsburgh, PA

High School Degree and Bachelors degree in computer science/software engineering/relevant field or ... Knowledge of the full software development lifecycle: from business/systems analysis, through ...

Synechron

Data Analyst

Pittsburgh, PA

$115K - $120K/yr

About the job We are At Synechron, we believe in the power of digital to transform businesses for ... , Data, and Software Engineering, servicing an array of noteworthy financial services and ...

Pwc

Data Strategy-Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data architectures - Knowledge of data ...

Pwc

Data Governance- Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Wolfe

Fraud Data Analyst

Pittsburgh, PA · On-site

$72K - $81K/yr

... in targeted areas. * Cross Functional Collaboration : Partner with product, engineering, operations ... At least 4 years of experience as a Data Analyst working with complex or high volume datasets.

Wolfe

Fraud Data Analyst

Pittsburgh, PA

... in targeted areas. * Cross Functional Collaboration : Partner with product, engineering, operations ... At least 4 years of experience as a Data Analyst working with complex or high volume datasets.

Telos Gifting

Fraud Data Analyst

Pittsburgh, PA · On-site

$72K - $81K/yr

... in targeted areas. * Cross Functional Collaboration : Partner with product, engineering, operations ... At least 4 years of experience as a Data Analyst working with complex or high volume datasets.

Pwc

Data Engineer - Manager

Pittsburgh, PA · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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How much do live in data analyst developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for live in data analyst developer in Pittsburgh, PA is $31.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $35.72 per hour, depending on experience, location, and employer.

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 are the most commonly searched types of Data Analyst Developer jobs in Pittsburgh, PA? The most popular types of Data Analyst Developer jobs in Pittsburgh, PA are:
Live In Data Analyst Developer jobs near you

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Posted yesterday

Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/

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