1

Live In Data Analyst Developer Jobs in Pittsburgh, PA

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

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 ...

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 ...

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 ...

Be Seen First

Data Analyst

Pittsburgh, PA · On-site

$65K - $85K/yr

... QA, and developers to ensure accuracy and alignment. * Maintain documentation in shared ... Qualifications USC/GC/H4EAD Minimum 3-5 years of data analytics and experience. Proficiency in SQL ...

New

Be Seen First

Data Analyst

Pittsburgh, PA · On-site

$65K - $85K/yr

... QA, and developers to ensure accuracy and alignment. * Maintain documentation in shared ... Qualifications USC/GC/H4EAD Minimum 3-5 years of data analytics and experience. Proficiency in SQL ...

New

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 ...

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 ...

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 ...

Bachelor's degree or 3+ years equivalent work experience preferred. o 3+ years'experience in ... analytical capacity and attention to detail • Strong customer service focus, including conflict ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data and Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

You will play a key role in driving data modernization initiatives and enabling scalable, future-ready data platforms. Position Title: Data and Analytics Engineer 2 Business Unit: Technology Reports ...

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 ...

In every line of service, in every position and area of expertise, PANTHERx associates are driven ... Manager, Reporting and Analytics Purpose The Data Analyst III designs and develops analytical and ...

next page

Showing results 1-20

Live In Data Analyst Developer information

See Pittsburgh, PA salary details

$12

$31

$59

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

As of Jul 15, 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 senior roles such as lead data scientists or chief data officers in large organizations, often combined with bonuses, stock options, or profit sharing. High earnings may also result from entrepreneurial ventures, consulting, or specialized skills in areas like machine learning, AI, or big data. Such compensation levels are uncommon and usually require extensive experience, advanced certifications, and leadership responsibilities.

Can a developer be a data analyst?

A developer can transition into a data analyst role by acquiring skills in data analysis tools like SQL, Excel, and visualization software, as well as understanding statistical concepts. Many data analysts have backgrounds in programming, which can facilitate learning data manipulation and analysis tasks. Combining development skills with data analysis knowledge can enhance job performance in both roles.

Is 40 too late for data science?

For a Live In Data Analyst Developer role, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a data analyst's role involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on tasks that require critical thinking, domain expertise, and communication skills.
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:

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Posted 29 days ago


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/