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Pi Data Analyst Jobs (NOW HIRING)

Delan Associates, Inc

NY · On-site

Database Analyst / Data Quality & Requirements Specialist (SQL + Excel) We're looking for a ... Familiarity with AVEVA PI (PI System / PI Data Archive / PI Vision) or time‑series data concepts.

Infosys

Aveva PI Developer

Strong analytical, troubleshooting, communication and customer consulting skills. Experience in dashboard development, reporting and data visualization using PI Vision and PI DataLink. Knowledge of ...

Calvary Hospital

Quality Assurance RN

Manhattan, NY · On-site

Calvary Hospital Hospice Data Analyst For over 125 years, Calvary Hospital and Calvary @Home ... Enters survey/QA & PI data onto appropriate computer program. * Prepares mailings and meeting ...

Martin Marietta

Senior Automation Engineer

Raleigh, NC · On-site

$101K - $132K/yr

Serve as technical lead and subject matter expert for the enterprise AVEVA PI System, including PI Data Archive, PI Asset Framework (AF), PI Vision, PI Analytics, Event Frames, Notifications, and ...

Martin Marietta

Senior Automation Engineer

Raleigh, NC · On-site

$101K - $132K/yr

Serve as technical lead and subject matter expert for the enterprise AVEVA PI System, including PI Data Archive, PI Asset Framework (AF), PI Vision, PI Analytics, Event Frames, Notifications, and ...

Mississippi Power Co

Engineer/Analyst - Data Historian System Administrator Monitoring & Diagnostics (M&D) JOB SUMMARY ... Enable self-service access through PI DataLink, PI Web API, PI AF SDK, PI Integrator, the IP.21 ...

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How much do pi data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for pi 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 Pi Data Analyst?

A Pi Data Analyst is a professional who specializes in analyzing and interpreting data to provide insights that help businesses make informed decisions, often within the context of the Pi Network or related blockchain projects. They collect, process, and analyze large datasets, using statistical methods and data visualization tools. Their role may also involve creating reports, identifying trends, and making recommendations based on their findings. Pi Data Analysts typically have strong analytical skills and proficiency in programming languages such as Python or R. They play a vital role in turning raw data into actionable information for organizations.

How does a Pi Data Analyst typically collaborate with cross-functional teams to drive data-driven decisions?

Pi Data Analysts often work closely with product managers, engineers, and business stakeholders to translate data insights into actionable strategies. They participate in regular meetings to discuss ongoing analyses, share key findings, and help identify areas for improvement. Effective communication and a collaborative mindset are essential, as Pi Data Analysts frequently need to explain complex data trends to non-technical team members and ensure alignment on project goals. This collaborative environment fosters continuous learning and provides opportunities to influence key business decisions.

What are the key skills and qualifications needed to thrive as a Pi Data Analyst, and why are they important?

To thrive as a Pi Data Analyst, you need strong analytical skills, a background in statistics or mathematics, and proficiency in data interpretation, often supported by a relevant degree. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau is typically required, along with certifications in data analytics or business intelligence. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for presenting findings and collaborating with stakeholders. These skills are essential for transforming complex data into actionable insights that drive business decisions and operational improvements.

What cities are hiring for Pi Data Analyst jobs?

Cities with the most Pi Data Analyst job openings:

What states have the most Pi Data Analyst jobs?

States with the most job openings for Pi Data Analyst jobs include:

What are popular job titles related to Pi Data Analyst jobs?

For Pi Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Pi Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Database Analyst

NY • On-site

Delan Associates, Inc
Engineering Professional Services • 51 - 200 employees
Learn more about Delan Associates, Incexternal

Other

Posted 11 days ago

Key responsibilities

  • Maintain, update, and audit relational databases (PostgreSQL) to ensure data accuracy, consistency, and traceability.

  • Write and optimize SQL queries, including multi-table joins, aggregations, and validation checks.

  • Partner with internal users to gather requirements, clarify needs, and translate business needs into data definitions and logic.

Job description

Database Analyst / Data Quality & Requirements Specialist (SQL + Excel)

We’re looking for a database-focused analyst with strong SQL (PostgreSQL) skills and a sharp eye for detail. This person is naturally curious, asks “why?” before “how?”, and isn’t afraid to challenge assumptions to protect data integrity and improve processes. You’ll manage, update, and audit databases, partner with stakeholders to gather requirements, and help ensure our data is accurate, reliable, and usable. This is a great fit for someone who blends hands‑on database skills with a business analyst mindset - someone who can independently clarify needs, translate them into data logic, and validate results end‑to‑end.

Key Responsibilities
  • Maintain, update, and audit relational databases (PostgreSQL), ensuring accuracy, consistency, and traceability.
  • Write and optimize SQL queries, including multi-table joins, aggregations, and validation checks.
  • Perform data quality checks, reconcile discrepancies, and document root causes and fixes.
  • Build and maintain Excel-based audit tools (pivots, lookups, Power Query as applicable) for reporting and verification.
  • Partner with internal users to gather requirements, challenge unclear requests, and translate business needs into data definitions and logic.
  • Create and maintain documentation: table definitions, field mappings, audit results, and change logs.
  • Support process improvements and controls around data updates, permissions, and governance.
Required Qualifications
  • Strong SQL experience, including PostgreSQL (or equivalent with ability to ramp quickly).
  • Solid understanding of relational database fundamentals (keys, constraints, normalization concepts, data integrity).
  • Demonstrated experience managing, updating, and auditing datasets/databases.
  • Advanced Excel skills (filters, pivot tables, XLOOKUP/VLOOKUP, data validation; Power Query is a plus).
  • Demonstrated experience performing data audits and documenting findings, remediation steps, and outcomes (repeatable + traceable work).
  • Comfortable owning ambiguous requests and independently questioning stakeholders to gather requirements and confirms data definitions before building.
  • Can explain logic and assumptions clearly to both technical and non-technical stakeholders.
  • Shows critical thinking, asks “why,” identifies risks and edge cases, and proposes better approaches rather than executing blindly.
  • Proven ability to investigate inconsistencies, ask probing questions, and validate assumptions.
  • Strong written and verbal communication; comfortable working directly with stakeholders.
Nice‑to‑Have Qualifications
  • Mechanical or engineering background/familiarity (or experience supporting engineering/asset-heavy environments).
  • Familiarity with AVEVA PI (PI System / PI Data Archive / PI Vision) or time‑series data concepts.
  • Familiarity with IBM Maximo (asset management / work orders / equipment hierarchies).
  • Familiarity with AWS (RDS, S3, Athena/Glue, IAM concepts, basic cloud data patterns).
  • Experience acting as a BA: independently gathering requirements, defining acceptance criteria, mapping data sources to outputs.
  • Familiarity with tools like Quest (e.g., Toad) or data access/auditing tools.
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