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Pipeline Data Analyst Jobs (NOW HIRING)

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... Responsibilities : • Support the build-out and maintenance of ETL/ELT pipelines that collect ...

The Research & Data Analyst will serve as a key source of market and business intelligence for ... Identify patterns and anomalies in pipeline data that signal risk or opportunity, and surface ...

Research & Data Analyst

Somerset, NJ · On-site

$85K - $100K/yr

The Research & Data Analyst will serve as a key source of market and business intelligence for ... Identify patterns and anomalies in pipeline data that signal risk or opportunity, and surface ...

Research & Data Analyst

Somerset, NJ · On-site

$85K - $100K/yr

The Research & Data Analyst will serve as a key source of market and business intelligence for ... Identify patterns and anomalies in pipeline data that signal risk or opportunity, and surface ...

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview ... Develop and maintain dashboards/reports tracking pipeline, ARR, churn, and other KPIs. * Write ...

Sr. Data Analyst

$88K - $111K/yr

... data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads ... analytics implementations • Experience with handling real-time and historical data from the ...

Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic * Translate business requirements into clear, structured documentation (e.g., data requirements ...

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic * Translate business requirements into clear, structured documentation (e.g., data requirements ...

Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic * Translate business requirements into clear, structured documentation (e.g., data requirements ...

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic * Translate business requirements into clear, structured documentation (e.g., data requirements ...

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Data Analyst

New York, NY · On-site

$95K - $125K/yr

The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination ...

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Pipeline Data Analyst information

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$34K

$82.6K

$136K

How much do pipeline data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for pipeline data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a pipeline data analyst?

Pipeline Data Analysts are professionals who collect, analyze, and interpret data related to pipeline operations in industries such as oil, gas, and utilities. They help optimize pipeline performance, ensure safety, and support decision-making by identifying trends, anomalies, or potential issues in the pipeline infrastructure. Their work involves using specialized software, data management systems, and analytics tools to monitor flow rates, pressure, and other operational parameters. By providing actionable insights, Pipeline Data Analysts play a critical role in maintaining pipeline integrity and regulatory compliance.

What skills and qualifications are needed to thrive as a pipeline data analyst?

To thrive as a Pipeline Data Analyst, you need strong analytical skills, proficiency in data management, and a background in engineering, mathematics, or computer science. Familiarity with data analysis tools such as SQL, Python, GIS software, and industry-specific platforms like SCADA is typically required. Attention to detail, problem-solving ability, and effective communication are critical soft skills for collaborating with cross-functional teams and interpreting complex datasets. These skills and qualities enable accurate data-driven decision-making, improve pipeline operations, and ensure safety and regulatory compliance.

How does a pipeline data analyst typically collaborate with engineering and operations teams?

Pipeline Data Analysts work closely with engineering and operations teams to ensure the integrity and efficiency of pipeline systems. They analyze large sets of operational data, identify trends or anomalies, and present actionable insights to support maintenance and optimization decisions. Regular meetings and cross-functional projects are common, as analysts must translate complex data findings into practical recommendations for engineers and field staff. This collaborative approach helps streamline processes, improve safety, and reduce downtime within pipeline operations.
More about Pipeline Data Analyst jobs
What cities are hiring for Pipeline Data Analyst jobs? Cities with the most Pipeline Data Analyst job openings:
What states have the most Pipeline Data Analyst jobs? States with the most job openings for Pipeline Data Analyst jobs include:
Infographic showing various Pipeline Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst - Data Operations

LP Analyst

Dallas, TX • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.
Responsibilities:
• Support the build-out and maintenance of ETL/ELT pipelines that collect, transform, and load financial data from multiple sources into our internal platform, ensuring accuracy and completeness
• Leverage AI-based tools for automated data extraction and validation, helping to assess output quality and flag exceptions that require review or correction
• Write and optimize SQL queries to support data transformation, validation, and quality assurance across our internal data platform
• Identify manual, Excel-heavy workflows and assist in transitioning them to automated, repeatable solutions
• Monitor pipeline performance and data quality, flagging and resolving issues to ensure accurate and timely client data delivery
• Interpret varied reporting formats and practices across private capital strategies, applying judgment to ensure data is accurately captured and consistently represented regardless of source format
• Communicate effectively with team leads, senior colleagues, and non-technical teammates, translating technical processes and findings into clear business terms and escalating issues through appropriate channels
• Contribute to documentation of pipelines, data flows, and processes to build shared knowledge across the team
• Assist in testing and QA of new pipeline builds and enhancements before deployment
• Respond to ad hoc data requests from internal teams, pulling and summarizing data as needed to support day-to-day business operations
• Adhere to data governance standards including naming conventions, data definitions, and data integrity practices, with an awareness of the accuracy and compliance expectations of a financial services environment
• Work collaboratively with cross-functional teams, including client services, to meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a deadline-driven environment
Qualifications:
Required:
• 0–3 years of experience in a data, analytics, or operations role
• Hands-on experience with Python, including writing scripts for data processing or automation
• Working knowledge of SQL, including writing queries to extract, transform, and validate data
• Exposure to AI-based data tools or a demonstrated curiosity about applying AI and automation to data workflows
• Familiarity with ETL/ELT concepts and data pipeline fundamentals
• Proficiency in Excel and/or Power Query for data manipulation and analysis
• Strong attention to detail and a genuine commitment to data quality
• Ability to work collaboratively within a team and communicate clearly with both technical and non-technical colleagues
• Bachelor's degree in Finance, Business Analytics, Data Science, Computer Science, or a related field
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Preferred:
• Understanding of financial data — fund accounting, investment data, or financial statements experience — is a plus
Company:
LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community. Founded in 2011, the company is headquartered in Dallas, USA, with a team of 51-200 employees. The company is currently Growth Stage.