Analytics

Analytics Developer Jobs

214 jobs found

Today

Software Engineer III - BI Developer & Data Analyst

JPMorganChase Chicago, IL

Chicago, IL

Today

$114k - $155k/yr Full time Alteryx Analytics Business Analytics

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Job Description

This Software Engineer III role within JPMorgan Chase's Global Banking and Payments Technology group is based onsite in Chicago, IL, with a salary range of USD 114,000 to 155,000 per year.

Responsibilities

Maintain and enhance Alteryx workflows to support analytics processes
Develop and manage Tableau dashboards, ensuring existing visuals stay current
Support backlog refinement and request prioritization in collaboration with the team lead
Partner with cross functional teams to collect data, analyze processes, and propose improvements to strengthen controls
Design and implement workflows that consume data and publish results to API endpoints
Thoroughly test dashboards for functionality, data accuracy, and performance
Identify data patterns and hidden issues, using insights to improve coding hygiene and system architecture
Standardize UI and UX across all visualizations
Leverage enterprise AI assisted coding tools to improve code quality, delivery speed, and productivity on complex deliverables, with peer reviews, automated tests, and secure coding practices; share learnings and reusable patterns with the team
Apply SDLC toolchain knowledge, including AI assisted development and automation, to maximize automation value
Contribute to software engineering communities of practice and events exploring new technologies

Requirements

Formal training or certification in Software Engineering plus 3+ years of hands-on experience
Strong experience with data wrangling using Alteryx
Experience integrating Python within Alteryx workflows
Solid data warehouse fundamentals, including writing complex SQL with multiple joins to automate or manipulate extracts in Alteryx/macros
Proven ability to develop medium to complex Tableau dashboards
Strong understanding of data warehousing concepts and experience with relational and dimensional modeling
Hands-on experience using enterprise AI assisted development tools for coding, testing, troubleshooting, or documentation, with ability to critically evaluate AI outputs for accuracy, performance, and security
Awareness of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs and outputs; ability to guide peers on safe usage
Strong design and development skills with experience in an Agile environment that includes CI/CD

Technologies

Alteryx
Tableau
Python
SQL
Qlik Sense
Grafana

Benefits

Comprehensive health care coverage
On site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Base salary determined by role, experience, skill set and location
Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity

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Today

Principal Data Engineer

Oracle Nashville, TN

Nashville, TN

Today

Full time Senior Analytics Big Data

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Job Description

The Principal Data Engineer role at Oracle, based onsite in Nashville, TN, leads Data Engineering, BI, and Analytics initiatives for OCI, combining hands-on data engineering with program leadership to design scalable data platforms and reporting solutions across Oracle Cloud Infrastructure.

RESPONSIBILITIES — DATA ENGINEERING & ANALYTICS LEADERSHIP

Design, build, and scale data pipelines that aggregate information from multiple OCI systems and services.
Develop robust data models, datasets, and reporting frameworks that provide actionable insights for engineering, operations, customer success, and executive leadership.
Architect and implement scalable analytics platforms that support strategic customer programs and operational decision-making.
Design and maintain enterprise-grade data solutions that improve visibility into customer adoption, operational health, service performance, and business outcomes.
Build and automate data ingestion, transformation, and reporting processes to reduce manual effort and improve data accuracy.
Establish data quality, governance, lineage, and observability standards across critical business datasets.
Partner with engineering teams to define telemetry, instrumentation, and data collection strategies.
Perform deep analysis of large and complex datasets to identify trends, opportunities, risks, and operational bottlenecks.
Drive adoption of modern data engineering best practices, tools, and technologies across the organization.

RESPONSIBILITIES — BUSINESS INTELLIGENCE & EXECUTIVE REPORTING

Design and deliver Business Intelligence solutions that provide actionable visibility into customer health, operational performance, and strategic business objectives.
Develop executive dashboards, scorecards, KPI frameworks, and reporting solutions used by senior leadership for decision-making.
Partner with business leaders to define success metrics, operational indicators, and reporting requirements.
Build scalable semantic models and reporting datasets that enable self-service analytics across multiple organizations.
Transform raw operational and engineering data into meaningful business insights and recommendations.
Standardize reporting methodologies and establish trusted sources of truth for key organizational metrics.
Support strategic planning, investment decisions, and customer engagement initiatives through data-driven analysis.

RESPONSIBILITIES — TECHNICAL PROGRAM MANAGEMENT & STRATEGIC EXECUTION

Lead large, complex, cross-functional initiatives spanning engineering, product, operations, and executive leadership teams.
Break down ambiguous business problems into actionable technical workstreams and measurable deliverables.
Develop functional specifications and drive successful execution from concept through delivery.
Identify process gaps and establish scalable mechanisms that improve organizational efficiency and execution.
Manage program schedules, dependencies, risks, and stakeholder communications.
Anticipate bottlenecks, proactively manage escalations, and balance technical constraints with business priorities.
Drive alignment across OCI organizations toward shared objectives and customer outcomes.
Lead interactions with cross-functional teams consisting of Engineers, Product Managers, Architects, Customer Success leaders, and Executive Leadership.
Thrive in a fast-paced, highly ambiguous environment while maintaining focus on delivering measurable business value.

RESPONSIBILITIES — DATA PROCESSING & PIPELINING

Mentors less experienced team members to identify data requirements and business objectives of a project or initiative.
Provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources.
Independently analyzes, designs, and troubleshoots data flows based on business needs.
Participates in architecture, performance, and security reviews of the technical solution.
Adjusts data collection processes that involve indexing and query optimizations for optimal performance.
Builds ETL pipelines to support efficient and scalable data collection and extraction.
Engages with and holds upstream and downstream teams accountable for predefined SLAs.
Manages relationships with data providers.

RESPONSIBILITIES — DATA GOVERNANCE

Independently designs and implements data governance policies and procedures for data handling to maintain consistency, integrity, accuracy, and reliability.
Leads the redaction of PII and PHI data to ensure privacy and security compliance.
Ensures minimal data collection and usage in accordance with data minimization principles.
Implements data security measures to protect data from unauthorized access or disclosure and escalates issues as needed.
Ensures data compliance with relevant laws, regulations, and industry standards.

RESPONSIBILITIES — DATA VALIDATION & QUALITY ASSURANCE

Contributes to the design and implementation of rigorous data validation and integrity checks to mitigate quality issues.
Mentors team members to define data annotation and labeling processes to ensure data quality.
Identifies opportunities for automation of data validation and governance processes.
Independently corrects deviations and non-conformance when identified.

RESPONSIBILITIES — DATA PIPELINE DESIGN

Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable data pipeline architectures.
Implements advanced data storage solutions to store processed data for analysis and access.
Mentors less experienced team members to manage day-to-day data pipeline and storage operations.

RESPONSIBILITIES — DATA SOLUTIONS ENGINEERING

Works independently and collaboratively in an agile environment to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost-effective, and reliable.
Reviews runnable code and supports testing and debugging with junior team members.
Evaluates new technologies to enhance data solutions.
Enforces and documents code standards and guidance within the team.
Creates documentation for design decisions and gathers broader architectural feedback before implementing.
Gathers data and evidence to secure necessary approvals.

CORE RESPONSIBILITIES — PLANNING & EXECUTION

Manages and coordinates moderately complex tasks, ensuring timely completion and alignment with requirements for a moderately sized project.
Delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adapting plans as resources or timelines shift.

CORE RESPONSIBILITIES — COLLABORATION & PARTNERSHIP

Collaborates across the organization to align on expectations and achieve shared objectives.
Understands business leaders, stakeholders, and customers to ensure solutions meet their needs.
Fosters inclusivity by seeking diverse perspectives and ensuring others feel heard and respected.

CORE RESPONSIBILITIES — PROBLEM SOLVING

Identifies and addresses moderately complex issues by analyzing data to determine solutions.
Escalates unresolved or critical issues with a thorough assessment and suggests solutions.
Documents problem solving strategies and contributes to improvements.

CORE RESPONSIBILITIES — CONTINUOUS LEARNING

Pursues learning opportunities to expand knowledge and stay abreast of industry trends.
Seeks feedback and training to improve skills.
Coaches and mentors junior teammates, promoting knowledge sharing.

CORE RESPONSIBILITIES — CONTINUOUS IMPROVEMENT

Develops ideas and collaborates on process improvements across teams, evaluating impact for stakeholders.
Solicits feedback on alternative approaches for ongoing improvement.

CORE RESPONSIBILITIES — PERFORMANCE AND DEVELOPMENT

Contributes to the talent development pipeline by participating in candidate interviews and providing hiring recommendations.

REQUIREMENTS

BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field
7+ years of experience in Data Engineering, Analytics Engineering, Technical Program Management, Software Engineering, or related technical roles
Strong experience designing, building, and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms
Experience developing BI solutions, executive dashboards, KPI frameworks, and operational reporting systems
Advanced SQL skills and experience working with large-scale datasets
Experience with data modeling, data warehousing, analytics platforms, and reporting architectures
Strong understanding of cloud technologies, distributed systems, and software development lifecycles
Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations
Experience partnering with engineering, product, operations, and business stakeholders to define requirements and deliver scalable data solutions
Strong written and verbal communication skills across technical and executive audiences
Proven ability to lead large, cross-functional initiatives and drive execution across organizational boundaries
MS degree or equivalent experience in Computer Science, Data Engineering, Analytics, or related field
10+ years of experience in Data Engineering, Analytics Platforms, BI, Technical Program Management, or Software Development
Experience building enterprise-scale data lakes, data warehouses, and analytics platforms
Experience with cloud-native architectures, distributed systems, and OCI services
Experience with Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow, or similar platforms
Experience with Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker, or comparable BI platforms
Experience implementing data governance, data quality, metadata management, and observability frameworks
Experience developing self-service analytics solutions and semantic data models
Experience working directly with large enterprise customers and strategic cloud initiatives

TECHNOLOGIES

Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow
Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker
SQL, Oracle Cloud Infrastructure (OCI)

WHAT SUCCESS LOOKS LIKE

Trusted data platforms and BI solutions become the foundation for decision-making across OCI Strategic Customer Engineering.
Executive leaders have real-time visibility into customer outcomes, operational performance, and business health.
Manual reporting processes are automated and replaced with scalable, self-service analytics capabilities.
Strategic customer programs execute more effectively through improved data accessibility, insight generation, and operational transparency.
Cross-functional teams align around a common set of metrics, objectives, and business outcomes.
Data-driven insights directly influence customer success, operational excellence, and OCI growth initiatives.

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1d ago

Data Engineer Hadoop, HIVE & Python

DenkenSolutions Inc Birmingham, AL

Birmingham, AL

1d ago

$58 - $58/hr Full time Python Analytics Big Data

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Job Description

DenkenSolutions Inc is seeking a Data Engineer to design, develop, and support data engineering and analytics solutions using both on-premises tools and cloud services. This onsite role in Birmingham, AL offers a competitive rate of USD 58 per hour and the opportunity to work with a robust data tech stack centered on Hadoop, Hive, and Python within a collaborative, solutions-focused environment.

Responsibilities

Design, develop, and maintain data engineering and analytics solutions using Hadoop, Hive, and Python.
Build end-to-end data pipelines and analytics capabilities across on-premises tools and cloud services.
Create functional and technical designs for data engineering and analytics projects.
Model data across diverse schemas and integrate data from multiple sources.
Implement data quality tooling to ensure data reliability.
Develop and support big data solutions with Hadoop, Hive, and Spark.
Develop and support AI and ML models using R and Python.
Collaborate with on-premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle GoldenGate, SQL, Oracle, and SQL Server.
Leverage Microsoft cloud services including Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Key Vault, and Power BI.
Apply containerization techniques with Docker and OpenShift.
Follow Agile practices and DevOps CI/CD processes.
Design and develop data sourcing, enrichment, and delivery solutions using APIs and web services.

Requirements

Experience with batch and real-time (streaming) data processing frameworks.
Experience with data modelling, data access patterns, schemas, and data storage techniques.
Experience with data quality tooling.
Ability to create functional and technical designs for data engineering and analytics solutions.
Experience implementing data models across diverse schemas and integrating multiple data source types.
Hands-on development with big data technologies such as Hadoop, Hive, and Spark.
Hands-on with statistical models and AI/ML solutions using R and/or Python.
5+ years of hands-on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on-premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle GoldenGate, SQL, Oracle, and SQL Server.
3+ years of hands-on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud-based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
Experience with containerization methodologies Docker, OpenShift, etc.
Experience with Agile as well as DevOps, CI/CD methodologies.
Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.

Technologies

Hadoop
Hive
Spark
R
Python
MSBI (SSIS/SSAS)
Informatica
Oracle GoldenGate
SQL
Oracle
SQL Server
Azure Data Lake
Azure Data Factory
Azure Databricks
Azure Synapse
Azure Key Vault
Power BI
Docker
OpenShift
APIs and Web Services

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1d ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1d ago

$152k - $265k/yr Full time Senior Agent Based Design Analytics

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Job Description

NVIDIA in Santa Clara, California is seeking a Senior Applied Machine Learning Engineer focused on VLSI design automation. This role blends data science, AI systems, and agentic approaches to accelerate both pre-silicon and post-silicon hardware design and circuit optimization, with integration into existing tools in the EDA ecosystem. The position offers a hybrid work arrangement and a salary range of USD 152,000 to 264,500 per year. A minimum of four years of relevant experience and an MS or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics are expected.

Responsibilities

Collaborate within a cross-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI-driven design automation workflows.
Contribute to applications spanning silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and flow optimization.
Translate requirements into data science, ML, and agent-based system problems; architect and implement solutions.
Test and deploy models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
Analyze datasets, formulate and validate hypotheses, extract relevant features, and build models plus self-improving workflows on top of them.
Refine models, algorithms, and autonomous optimization systems until the desired QOR is reached.

Requirements

MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
4+ years of experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Demonstrated ability in Python and C++ with a background in applied mathematics, ML, or software development.
Experience with deep learning algorithms and AI agent frameworks; familiarity with PyTorch, LangChain, or LangGraph is a plus.

Technologies

Python
C++
PyTorch
LangChain
LangGraph

Benefits

Equity
Benefits

Ways to Stand Out From the Crowd

Experience building AI systems for EDA, design automation, or circuit design workflows.
Research or project work in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Experience developing agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
Strong verbal and written communication skills and the ability to present technical content effectively.
Self-motivated with a passion for growth, continuous learning, and sharing findings with the team.

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1d ago

Tableau Developer

Vaco by Highspring Saint Petersburg, FL

Saint Petersburg, FL

1d ago

$115k - $120k/yr Full time Manager Analytics Business Analytics

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Job Description

Location: Saint Petersburg, Florida, onsite. This Tableau Developer role offers a competitive salary range of $115,000 – $120,000 per year, discretionary bonuses, medical, dental, and vision coverage, and a 401(k) plan. Join a collaborative team that values data-informed decisions and well-governed dashboards. The role centers on Tableau development and server administration, serving as the link between end users and IT to capture and implement business needs. A bachelor’s degree in Computer Science, MIS, Business Administration, or a related field, plus at least four years of IT software development related experience, program leadership, or software business analysis, are required.

Benefits

Discretionary bonuses
Medical, dental, and vision benefits
401(k) retirement plan

Responsibilities

Oversee Tableau Server environments and sites, publish interactive dashboards, and collaborate with internal IT teams to ensure a stable, well-designed, highly available, and properly maintained infrastructure
Administer and support Tableau infrastructure, manage groups, workbooks and projects, database views, data sources, and data connections
Leverage SQL and data storage techniques to integrate data from multiple sources
Lead Tableau initiatives by overseeing business needs and requirements for enhancements and delivery cycles
Partner with internal users and external vendors to translate business objectives into strategic and tactical plans
Facilitate meetings with key stakeholders to map current practices and identify opportunities for process improvement
Design, maintain, and enforce Tableau best practices and governance policies

Requirements

Bachelor’s degree in Computer Science, MIS, Business Administration, or a related field from an accredited institution
Four years of IT software development related experience including program leadership or software business analysis, or an equivalent combination of education, certification, training, and experience
Ability to develop, maintain, and manage advanced Tableau reporting, analytics, and dashboards
Proficiency with SQL and relational databases for dashboard development
Experience maintaining, supporting, and upgrading a Tableau server environment
Knowledge of business needs analysis principles and requirements analysis methods
Ability to analyze data sets and document business processes
Strong multitasking skills and adaptability to shifting priorities
Strong analytical and problem-solving abilities
Ability to explain technical concepts to non-technical stakeholders
Excellent organizational skills and timely delivery
Proficiency in English (speaking, reading, writing)
Ability to follow complex instructions and communicate effectively
Ability to work with minimal supervision
Capacity to foster and maintain cooperative working relationships and build consensus
Microsoft Office proficiency
Ability to commute with personal transportation and travel up to 25% of the time

Technologies

Tableau
Tableau Server
SQL
Microsoft Office

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1d ago

Vista / Viewpoint ERP Administrator & Developer

Ledgent Technology Remote 🌍 Remote

Remote

1d ago

Up to $60/hr Contract Analytics Business Analytics Business Intelligence

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Job Description

What we offer

Remote work for a contract-to-hire position with Ledgent Technology. The role focuses on Vista / Viewpoint ERP administration, development, and reporting, with an hourly rate of USD 60. You will collaborate across Finance, Accounting, HR, and Operations to deliver reliable data and scalable reporting solutions, while enjoying the flexibility of a remote setup and the opportunity to grow into a Vista subject-matter expert.

Responsibilities

Administer and maintain Viewpoint Vista ERP, including configuration, upgrades, and performance optimization
Provide Tier 2 and Tier 3 support, troubleshooting issues and refining workflows
Manage user roles, permissions, and security controls
Monitor system performance to ensure reliability and data integrity
Design and develop SQL queries, stored procedures, views, and data integrations
Build and maintain reports using Crystal Reports and SSRS
Collaborate with stakeholders to translate business needs into scalable reporting solutions
Optimize database performance and reporting efficiency
Customize Vista workflows, forms, and modules
Lead or support integrations with third-party systems such as HRIS and payroll
Recommend and implement enhancements to improve operational efficiency
Train end users on Vista functionality and best practices
Create and maintain documentation, SOPs, and reporting guides
Support onboarding of new users and rollout of new features
Collaborate with Finance, Accounting, HR, and Operations on reporting, compliance, and system usage
Support year-end financial processes and reporting requirements

Requirements

3+ years of hands-on Vista by Viewpoint administration experience
Strong SQL skills including T-SQL, stored procedures, and performance tuning
Experience with Crystal Reports and SQL-based reporting tools
Proven experience supporting ERP systems in a production environment
Comfortable working directly with business stakeholders, especially Accounting/Finance
Strong troubleshooting and problem-solving skills

Technologies

Viewpoint Vista ERP
SQL (T-SQL)
Crystal Reports
SSRS
SSIS
Power BI

Overview

We are seeking a highly skilled Vista / Viewpoint ERP Administrator & Developer to join a growing team. This role blends administration, development, and reporting, requiring deep Vista expertise, SQL development, and enterprise reporting capabilities.

What success looks like

Acts as the go-to Vista expert across the organization
Delivers accurate, timely reporting solutions
Improves system performance and user adoption
Balances support, development, and strategic enhancement work

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1d ago

Power BI Developer

Enlyte Remote 🇺🇸 Remote

Remote

1d ago

$60k - $90k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

This full-time remote role focuses on designing, building, and supporting interactive Power BI dashboards, collaborating with stakeholders across departments to translate business needs into actionable analytics. The position is based in the United States.

Responsibilities

Conceptualize, design, build, and maintain interactive dashboards using Microsoft Power BI.
Collaborate across departments to gather inputs from subject matter experts and customers.
Lead the project lifecycle from initiation to completion, coordinating with diverse stakeholders to align on requirements.
Provide ongoing maintenance, upgrades, trainings, and dashboard demonstrations.
Communicate clearly and deliver effective presentations to stakeholders.

Requirements

Minimum 2 years of relevant work experience.
Bachelor's degree in Computer Science or a related field.
Advanced proficiency in Power BI, or an equivalent data visualization tool.
Solid SQL knowledge, including Postgres and Snowflake.
Strong collaboration and presentation skills.
Excellent organizational abilities.

Technologies

Microsoft Power BI
Postgres
Snowflake
Claude
Copilot

Compensation

Salary: USD 60,000 - 90,000 per year

Location and Employment Type

This is a full-time remote position that can be located anywhere in the United States.

Benefits

Medical
Dental
Vision
Health Savings Accounts / Flexible Spending Accounts
Life and AD&D Insurance
401(k)
Tuition Reimbursement
Well-being resources

Company Overview

The Enlyte Family of Businesses includes Mitchell, Genex, and Coventry. Enlyte serves as the parent brand for these organizations, combining three leading entities in the Property & Casualty industry with a shared focus on technology innovation, clinical services, and network solutions to assist customers and the people they serve. The group emphasizes meaningful impact and opportunities for career growth through its products and services.

Diversity and Inclusion

We encourage applicants from diverse backgrounds and welcome those who may not meet every qualification to apply. Our commitment is to maintain a diverse, inclusive, and authentic workplace where all employees can contribute and grow.