Financial Analyst

Financial Analyst Developer Jobs

3 jobs found

Today

Data Engineer & BI Analyst

ANDREAS STIHL AG & Co. KG Virginia Beach, VA

Virginia Beach, VA

Today

$101k - $123k/yr Full time Backend Developer Analytics Big Data

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Job Description

ANDREAS STIHL AG & Co. KG is hiring a Data Engineer & BI Analyst to help deliver dependable data infrastructure for business reporting, advanced analytics, and data-driven decision-making. This onsite role in Virginia Beach, VA focuses on designing data pipelines, supporting Power BI semantic models, and troubleshooting issues across ingestion, transformation, and reporting layers.

The position sits at the intersection of engineering and analytics, with close collaboration across business functions to clarify data requirements and explain technical concepts in practical terms. You will also drive continuous improvements aimed at reliability, performance, and maintainability of the company’s data systems.

What you’ll do

Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory.
Structure and manage Power BI semantic models using Tabular Editor and deployment pipelines.
Diagnose and resolve data issues across ADF, Databricks, and Power BI, including ingestion, transformation, and reporting.
Use strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues.
Collaborate with stakeholders across business functions to clarify data needs and communicate technical concepts.
Support continuous improvement of data infrastructure by identifying and implementing scalable solutions.

What you bring

Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field (preferred).
5+ years of experience in data engineering, BI engineering, or a similar technical role.
Hands-on experience building pipelines with Databricks and/or Azure Data Factory.
Strong proficiency with Python for data manipulation and transformation.
Working knowledge of Power BI, including dataset design, relationships, and refresh behavior.
Experience working in Git-based workflows.
Demonstrated ability to debug issues spanning ingestion, transformation, and reporting layers.
Clear written and verbal communication skills, especially when explaining technical topics to non-technical stakeholders.
Strong collaboration skills, including knowledge sharing, coordination, and early communication of blockers.
Ability to prioritize and problem-solve in ambiguous or high-pressure situations.
Proactive approach to improving reliability, performance, or maintainability of existing systems.
Experience in AI, machine learning, or emerging data technologies, especially where they intersect with analytics and reporting.
Experience designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure, Databricks, AWS, or Fabric.
Knowledge of Power BI Premium capacity and refresh management.
Exposure to metadata-driven frameworks and config-based pipeline logic.
Familiarity with Unity Catalog, Terraform, or other emerging Databricks tools.
Experience with automation, optimization, and reducing manual overhead in analytics systems.

Technologies you’ll work with

Databricks
Delta Live Tables
Azure Data Factory
Power BI
Tabular Editor
Python
Git
Microsoft Azure
AWS
Fabric
Power BI Premium
Unity Catalog
Terraform

Compensation & benefits

Salary range: $101,000 - $123,000 per year, with bonus opportunities and potential for annual merit increases.
Excellent health benefits including Medical, Dental & Vision Insurance.
Onsite Health & Wellness Center for employees and eligible family members.
Company-paid Life Insurance and Short & Long-Term Disability.
A fully vested Pension Plan after 5 years.
A 401(k) with generous employer match.
Paid time off plus 11 Paid Holidays.

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8d ago

SAS Data Engineer- Linux, bilingual in Korean

Cesna Recruitment Austin, TX

Austin, TX

8d ago

$70k - $95k/yr Full time Analytics Azure Big Data

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Job Description

Cesna Recruitment is hiring a SAS Data Engineer with strong Linux support experience to work onsite in Austin, TX. In this role, you will support storage and compute system upgrades while troubleshooting, monitoring, patching, and maintaining a mix of enterprise platforms spanning Isilon, NetApp, HPC, Kubernetes, Greenplum, Impala, and GPU servers.

You will assess capacity and performance, coordinate hardware and software changes with minimal downtime, and help ensure security and compliance across ongoing maintenance activities. The position also includes documentation, automation, and disaster recovery planning so production systems remain stable and available.

What you’ll do

Assess Isilon and NetApp cluster capacity and performance using OneFS and ONTAP to determine when node replacements or upgrades are needed.
Coordinate the integration of new Isilon and NetApp nodes, ensuring compatibility and minimal downtime during scalability operations.
Oversee upgrade and replacement of HPC, Kubernetes, Greenplum, Impala, and GPU server hardware to improve computational and graphics processing capabilities.
Use Impala Insight IQ and NetApp tooling to diagnose issues impacting throughput, latency, and capacity.
Apply OneFS and ONTAP troubleshooting tools and logs to identify and resolve system errors and hardware malfunctions.
Monitor and address performance bottlenecks and system failures across HPC, Kubernetes, Greenplum, GPU servers, Impala, and NetApp environments.
Implement continuous monitoring using Isilon OneFS event logs, NetApp ONTAP tools, SNMP alerts, and Grafana to detect anomalies early.
Schedule regular maintenance using Isilon and NetApp software suites to support optimal storage performance and longevity.
Apply Impala and NetApp-specific patches and firmware updates, keeping nodes and system software secure and up-to-date.
Test software updates in a sandbox environment to evaluate performance and stability before cluster-wide deployment.
Coordinate software updates and patch installations across HPC, Kubernetes, Greenplum, GPU servers, Impala, and NetApp systems to preserve integrity and security.
Provide specialized support for optimizing Isilon and NetApp storage solutions, including data migration, system expansion, and configuration tuning.
Support optimization of HPC, Kubernetes, Greenplum, and GPU server configurations to improve computational resources and data processing workflows.
Assist with design, configuration, and optimization of NetApp storage architectures for efficient data management.
Manage phased decommissioning of aging Isilon and NetApp hardware while meeting environmental standards and security protocols.
Coordinate replacement of EOL hardware across HPC, Kubernetes, Greenplum, GPU servers, Isilon, and NetApp to prevent performance degradation.
Ensure Impala, NetApp, HPC, Kubernetes, Greenplum, and GPU storage solutions are integrated and compatible with the broader IT infrastructure.
Develop strategies to integrate storage and processing technologies to maximize performance and resource utilization.
Maintain detailed documentation for system configurations, upgrades, and troubleshooting to support team onboarding.
Conduct training sessions or create guides so internal teams can learn system operations and best practices.
Plan and test disaster recovery procedures for Impala, NetApp, and HPC/Kubernetes/Greenplum/GPU servers to support data availability and business continuity.
Ensure backup and recovery processes are in place and regularly tested to reduce data loss risk.
Create and maintain capacity planning strategies to scale storage and compute resources based on performance trends and business needs.
Develop and maintain automation scripts for monitoring, data migration, and maintenance to improve system efficiency and reduce manual errors.
Maintain compliance with organizational security standards and relevant regulations during maintenance, upgrades, and troubleshooting.
Coordinate with security teams to apply hardening best practices for Isilon, NetApp, HPC, Kubernetes, Greenplum, and GPU servers.
Participate in data center activities, including racking and initial installation of servers and storage equipment.
Ensure proper cabling, power connections, and network configurations during initial setup to support smooth IT integration.

Requirements

4–6 years of hands-on Linux support experience in enterprise environments
Strong Linux administration and troubleshooting skills (RHEL/CentOS/Ubuntu)
Experience with system monitoring, log analysis, and production support
Basic scripting knowledge ( Bash/Python preferred )
Understanding of networking fundamentals (TCP/IP, DNS, SSH)
Familiarity with ETL/data pipeline support and batch job monitoring
Experience with cloud environments (AWS/Azure/GCP) is a plus
Knowledge of Docker/Kubernetes is preferred
Strong problem-solving and communication skills

Tools and technologies

Linux, RHEL, CentOS, Ubuntu
OneFS, ONTAP
Impala Insight IQ
SNMP, Grafana
Bash, Python
TCP/IP, DNS, SSH
ETL
AWS, Azure, GCP
Docker, Kubernetes
HPC, Greenplum, Impala
Isilon

Compensation and benefits

Salary: USD 70,000–95,000 per year
Health insurance
401K
PTO
Sick days
End year bonus

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1mo ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 9, 2026).

Job Description

What we offer

This onsite role in Auburn Hills, Michigan gives you the chance to support Stellantis FP&A through Power BI based reporting and analytics. You will collaborate with a finance-focused team to design robust data models, ensure data accuracy and governance, and deliver insightful dashboards. The position emphasizes hands-on work across the complete Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard delivery (Gold layer), with a clear focus on performance and security. You will also manage user access and role-based security within Power BI Service.

Responsibilities

Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
Ensure data accuracy, performance, and security across all FP&A reporting tools
Handle user access and role-level security within Power BI Service

Requirements

Advanced proficiency in Power BI, Power Query, and DAX
Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
Ability to clean, transform, and standardize data into analytics-ready models
Experience deploying and maintaining dashboards in Power BI Service
Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
Strong analytical mindset with attention to data accuracy, consistency, and performance optimization
Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
Minimum of 5 years' extensive experience with PowerBI
Minimum of 8 years' overall relevant work experience
Thrive in a fast-paced, dynamic work environment

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred qualifications

Power BI certification or similar credentials
Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
Experience with OneStream, SAP or Oracle tools

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Financial Analyst Developer Jobs

Data Engineer & BI Analyst

SAS Data Engineer- Linux, bilingual in Korean

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