Asset Management

Asset Management Data Jobs

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Today

Asset Management Data Analyst

Cleco Pineville, LA

Pineville, LA

Today

Full time Analytics Asset Management Automation

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Job Description

Cleco is seeking an Asset Management Data Analyst II to connect plant operational signals with commercial context and turn that data into practical analytics for generation asset performance. This role focuses on building and governing analytics solutions that support decision-making through dashboards, time series analysis, workflow optimization, and maintenance-focused insights.

Based onsite in Pineville, LA, the analyst will partner across Asset Management, Generation Operations, Data Analytics/Data Science, and IT to integrate industrial time series from operational systems into business processes and enterprise data initiatives.

What you’ll do

Help drive a corporate culture centered on transparency, integrity, safety, environmental responsibility, employee development, sense of belonging, customer service, and operational excellence.
Accelerate development and deployment of data analytics that support business decisions.
Gather and analyze operational and commercial data to uncover trends, patterns, and actionable insights.
Monitor and report on progress for analytics and data management initiatives.
Apply industry best practices to continuously improve asset performance through analytics.
Collaborate with generation plant teams to understand data requirements, emphasizing time series data from operational systems and integration with business data.
Build and maintain dashboards, reports, and visualizations using BI tools such as Power BI and Tableau.
Use time series analysis to identify trends, anomalies, and opportunities to optimize equipment performance and reliability.
Model asset health metrics and KPIs that inform predictive maintenance and lifecycle strategies.
Support data quality by ensuring time series data is accurate, reliable, and consistent.
Design and maintain data workflows and pipelines, with an emphasis on real-time or near-real-time availability of time series data.
Coordinate with enterprise data teams to align local plant data strategies with broader data governance and architecture initiatives.
Assist in defining an AI/ML roadmap for asset management, including anomaly detection approaches and digital twin simulations.
Architect and leverage an Azure-based data analytics platform to support scalable model development and deployment.
Participate in development and optimization of analytics processes, including integration of operational and business data.

Required qualifications

Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related field.
3 to 8 years of experience in a data analytics or business intelligence role (3+ years required; 3–8 preferred).
Hands-on experience with BI tools (for example, Power BI, Tableau, Qlik) and proficiency in SQL.
Experience working with time series data from SCADA systems, IoT devices, or other industrial data sources.
Experience in data integration and workflow optimization, particularly when combining operational and business datasets.
Strong analytical and problem-solving skills.
Strong experience in generation / commercial operations.
Proficiency in data visualization tools (for example, Power BI) to create dashboards and reports.
Knowledge of data management practices and tools.
Excellent communication and presentation skills, with the ability to collaborate across cross-functional teams.
Strong organizational and project management skills.
Understanding of asset health metrics, predictive maintenance strategies, and how they improve operational efficiency.
Familiarity with enterprise concepts such as data governance, data quality, and data architecture is a strong plus.
Ability to translate complex data into insights that support asset health management and maintenance strategies.
Experience with Azure data science and big data services (for example, Azure Databricks, Azure Machine Learning, Azure Data Lake) or similar cloud platforms (AWS/GCP).
Progression to this level is restricted based on critical individual capabilities and business requirements, and must be supported by market survey data.

Technologies you may use

Power BI, Tableau, Qlik
SQL
SCADA, IoT
Azure, Azure Databricks, Azure Machine Learning, Azure Data Lake
AWS, GCP

Certifications

Relevant certifications (for example, Certified Business Analysis Professional (CBAP), Power BI Data Analyst Associate Certification) are a plus but not required.

Key competencies

Behavioral: Building Partnerships; Leading Teams; Business Acumen; Communication; Courage; Building Self-Insight; Driving for Results; Energizing the Organization; Driving Execution; Building Trusting Relationships; Driving Innovation; Planning and Organizing; Safety; Establishing Strategic Direction
Technical/Business: Analytical skills; Organizational skills; Strategic Planning; Data Collection and Analysis; Presentation Skills; Business Intelligence skills

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1mo ago

Asset & Wealth Management, Wealth Management Product Manager (Analytics), Analyst

Goldman Sachs Dallas, TX

Dallas, TX

1mo ago Closed

Full time Manager Adobe Analytics Analytics

This position is no longer accepting applications (closed Aug 13, 2026).

Job Description

Goldman Sachs' Asset & Wealth Management division is seeking an Analytics-focused Product Manager to own the end-to-end product lifecycle and analytics-driven wealth management solutions for clients and advisors. This on-site role in Dallas blends data science with product strategy, shaping how clients interact with digital wealth management tools while collaborating across teams to evolve the platform.

Responsibilities

Drive Insight: design and maintain advanced product analytics, dynamic dashboards, and data visualizations using tools like Adobe Analytics and Tableau to convert raw data into actionable product insights.
Uncover Opportunities: perform deep-dive analyses to reveal trends and customer behaviors, translating findings into strategic recommendations that fuel product innovation and growth.
Shape Data Strategy: translate complex business requirements into precise analytics specifications, ensuring accurate data capture and data integrity across digital products.
Forge Connections: collaborate with Product, Marketing, Technology, and other cross-functional teams to integrate diverse data sources and create a 360-degree view of client interactions and journeys.
Innovate & Evolve: actively manage the data platform product backlog, align with emerging priorities, and leverage industry trends to drive continuous product innovation.
Optimize & Govern: assess and refine existing data systems and processes, contributing to data governance policies and advancing data maturity.
Influence Decisions: present complex data-driven insights and strategic recommendations clearly to stakeholders, including senior leadership, to influence critical business decisions.

Requirements

A bachelor’s degree in a quantitative field such as Data Analytics, Business Analytics, Mathematics, Statistics, or related technical discipline.
At least 2 years of hands-on experience analyzing diverse data elements, with emphasis on online and mobile customer experiences.
Strong problem-solving abilities and a solid foundation in data analysis, capable of delivering actionable insights and strategic recommendations.
Experience with web analytics software (for example Adobe Analytics) and knowledge of tag implementation.
Proficiency in designing, managing, manipulating, and analyzing large datasets from various databases using SQL, R, and/or Python.
Proven track record in designing, developing, and implementing impactful data visualizations using Tableau or Qlik.
Excellent communication skills with the ability to articulate performance metrics and insights to senior executives and team members.
Strong interpersonal skills and a genuine interest in engaging with clients and building relationships.
Self-starter mindset, thriving in an autonomous yet collaborative and dynamic environment.

Technologies

Adobe Analytics
Tableau
Qlik
SQL
R
Python

Benefits

Healthcare & Medical Insurance
Holiday & Vacation Policies
Financial Wellness & Retirement
Health Services
Fitness
Child Care & Family Care
Benefits at Goldman Sachs

Opportunity overview

Corporate title: Analyst
Office location: Dallas, TX
Job function: Product Management
Division: Asset & Wealth Management

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1mo ago

Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

PNC Financial Services Group Birmingham, AL

Birmingham, AL

1mo ago Closed

$45k - $142k/yr Full time Asset Management Big Data Bigdata

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Data Engineer Associate in PNC's Asset Management Group, onsite in Birmingham, AL, focused on building and maintaining data pipelines using PySpark, Hadoop and SQL, with data ingestion, transformation, and governance responsibilities.

Responsibilities

Assist in developing, supporting and implementing data solutions for multiple applications to meet business objectives and user requirements, applying technical knowledge to design, build and maintain technology solutions.
Perform data requirement analysis and develop data preparation processes for targeted data solutions.
Assist in designing and building data service infrastructure across multiple data platforms in alignment with the workflow.
Participate in the development and deployment of data solutions for multiple applications to ensure scalability, availability and maintainability.
Consult on data migration and transformation to ensure accuracy and security of data solutions.

Requirements

Hands-on experience with PySpark and Hadoop ecosystems, including developing and maintaining data pipelines using Spark, Hive and HDFS.
Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala.
Experience building and supporting data ingestion and transformation pipelines, including source to target mappings, data validation, and quality checks.
Familiarity with agile delivery models, collaborating within cross-functional teams (developers, analysts, QA, product owners) and participating in sprint-based development and releases.
Working knowledge of data governance and tooling, such as metadata management (e.g., Alation), documentation standards, and controlled promotion of data to production environments.
A university/college degree is typically required, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job-specific certification(s), and experience may be considered.

Technologies

PySpark
Hadoop
Spark
Hive
HDFS
SQL
Impala
Alation

Benefits

Medical and prescription drug coverage with a Health Savings Account feature
Dental and vision coverage
Life insurance for employee and spouse/child
Short and long-term disability protection
401(k) with PNC match
Pension and stock purchase plans
Dependent care reimbursement account
Back-up child and elder care
Adoption, surrogacy and doula reimbursement
Educational assistance, including select programs fully paid
Wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
Approximately 9 occasional absence days each year
Between 15 and 25 vacation days each year

Compensation

Base salary: 45,000.00 – 142,250.00 USD per year
Salary may vary by geographic location, market data and individual skills, experience, and education. This role is incentive eligible with payout based on company, business and/or individual performance.

Application details

Application window: Generally posted for two business days from 04/24/2026, though it may be longer at the company's discretion.

Disability accommodations

Accommodation requests can be submitted via email to AccommodationRequest@pnc.com with “accommodation request” in the subject line. Please include your name, the job ID, and your preferred method of contact.
For accommodation assistance, call 877-968-7762 and say "Workday".

Equal employment opportunity

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

California residents

Refer to the California Consumer Privacy Act Privacy Notice to understand how PNC may use or disclose your personal information in our hiring practices.

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1mo ago

Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

PNC Financial Services Group Farmers Branch, TX

Farmers Branch, TX

1mo ago Closed

$45k - $142k/yr Full time Asset Management Big Data Data Architecture

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

PNC Financial Services Group invites you to join the Asset Management Group as a Data Engineer Associate. This onsite role in Farmers Branch, TX offers a salary range of USD 45,000 - 142,250 per year and the opportunity to work with PySpark, Hadoop, and SQL to build robust data pipelines, support ingestion and transformation, and uphold data governance across multiple applications. This position typically requires a Bachelor's degree and a minimum of two years of hands-on experience.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension
stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year
between 15 to 25 vacation days each year, depending on career level

Responsibilities

Assist in developing, supporting and implementing data solutions for multiple applications to meet business objectives and user requirements, drawing on technical knowledge and industry experience to design, build and maintain technology solutions.
Perform data requirement analysis and develop the data preparation process for targeted data solutions.
Assist in designing and building data service infrastructure on multiple data platforms, aligned with the workflow.
Participate in the development and implementation of data solutions for multiple applications to ensure scalability, availability and maintainability.
Consult on data migration and transformation to ensure the accuracy and security of data solutions.

Requirements

Hands-on experience with PySpark and Hadoop ecosystems, including developing and maintaining data pipelines using Spark, Hive, and HDFS.
Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala.
Experience building and supporting data ingestion and transformation pipelines, including source to target mappings, data validation, and quality checks.
Familiarity with agile delivery models, collaborating within cross-functional teams (developers, analysts, QA, product owners) and participating in sprint-based development and releases.
Working knowledge of data governance and tooling, such as metadata management (eg, Alation), documentation standards, and controlled promotion of data to production environments.
Bachelor's degree is required and at least two years of relevant experience.

Technologies

PySpark
Hadoop
Spark
Hive
HDFS
SQL
Impala
Alation

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3mo ago

Asset&Wealth Management-Senior Cloud Data Engineer-Vice President

Goldman Sachs Dallas, TX

Dallas, TX

3mo ago Closed

Full time Senior Ai Workflows Analytics

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Goldman Sachs' Asset & Wealth Management division is seeking a Senior Cloud Data Engineer at the Vice President level to lead hands-on data pipeline work, containerization on Amazon ECS, and the migration of legacy on‑prem systems to AWS. This role combines practical engineering with architectural guidance to enable scalable data solutions that support wealth management initiatives.

Responsibilities

Active Migration Execution: Directly execute the migration of legacy ETL and microservices to AWS. This includes refactoring monolithic code into containerized services and deploying them to Amazon ECS (Fargate/EC2).
Containerization & Orchestration: Build and maintain Docker images, write complex ECS Task Definitions, and configure service-to-service communication using Amazon ECS Service Connect and AWS Cloud Map.
Data Pipeline Engineering: Develop end-to-end data flows using AWS Glue (PySpark), Amazon EMR, and Snowflake. Implement "Lakehouse" patterns using Apache Iceberg to ensure data portability.
IaC Development: Write and maintain production-grade Terraform or AWS CDK modules to provision VPCs, ECS clusters, and RDS instances. Ensure all infrastructure is version-controlled and deployed via GitHub Actions or GitLab CI.
AI-Augmented Coding: Actively use AI coding assistants (e.g., GitHub Copilot) to refactor legacy SQL, generate unit tests, and automate the creation of boilerplate pipeline code.
Toil Reduction: Identify manual bottlenecks in the migration process and build custom automation tools in Python or Go to streamline data validation and schema conversion.
Code Reviews & Standards: Lead rigorous peer code reviews, enforcing standards for performance, security (IAM least privilege), and maintainability.
Observability Implementation: Hands-on configuration of Amazon CloudWatch Container Insights, and OpenTelemetry to ensure deep visibility into migrated microservices and data jobs.
Performance Tuning: Directly optimize Spark job configurations, Snowflake warehouse sizing, and ECS auto-scaling policies to balance performance.

Requirements

8+ years of hands-on experience in Data Engineering and Cloud Infrastructure, focusing on building and migrating production workloads.
Deep technical expertise in Amazon ECS (Fargate/EC2), including networking (ALB/NLB), task placement strategies, and container security.
Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services, with a good understanding of open-source table formats, specifically Apache Iceberg, to enable interoperability, schema evolution, and high-performance analytics across multiple engines.
Expert-level proficiency in Java, Python and SQL.
Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
Deep understanding of data warehousing and modern data lakehouse architecture.
Mentorship: Proven track record of upskilling junior engineers.
Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.
Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.

Technologies

Amazon ECS (Fargate/EC2)
Docker
AWS Cloud Map
Amazon ECS Service Connect
AWS Glue (PySpark)
Amazon EMR
Snowflake
Apache Iceberg
Terraform
AWS CDK
GitHub Actions
GitLab CI
Java
Python
SQL
Spark
Kafka
Apache Airflow
Dagster
dbt
OpenTelemetry
Amazon CloudWatch Container Insights

Benefits

Health Insurance
Holiday & Vacation Policies
Financial Wellness & Retirement
Health Services
Fitness
Child Care & Family Care
Benefits at Goldman Sachs

Best-in-Class Benefits

Healthcare & Medical Insurance: We offer medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies: We offer competitive vacation policies based on employee level and office location, with generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement: We assist employees in saving and planning for retirement, offer financial support for higher education, and provide live financial education and content on a variety of topics.
Health Services: We offer medical advocacy, counseling and referral services through EAP, Global Medical, Security and Travel Assistance, Workplace Ergonomics Program, and on-site health centers where available.
Fitness: On-site fitness centers in some offices; reimbursements for fitness club membership or activity up to a pre-approved amount.
Child Care & Family Care: On-site child care centers, back-up care, mother and baby rooms, homework rooms, and resources for expectant parents and returning parents; stipends for adoption, surrogacy, egg donation.

Opportunity Overview

Corporate Title: Vice President
Office Location(s): Dallas
Job Function: Software Engineering
Division: Asset & Wealth Management

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Asset Management Data Jobs

Asset Management Data Analyst

Asset & Wealth Management, Wealth Management Product Manager (Analytics), Analyst

Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

Asset&Wealth Management-Senior Cloud Data Engineer-Vice President

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