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DATA ANALYST/BI ENGINEER

Salesforce

Atlanta, Georgia • Today

Full-time

Senior Data & Systems Analyst, EHS

Anduril Industries

Atlanta, Georgia • Today

Full-time

USD 97,000.00 - 129,000.00 per year

Senior Data Analyst, Labor Operations

Stord, Inc.

Atlanta, Georgia • Today

Full-time

Institutional Data Analyst

Georgia Institute of Technology

Atlanta, Georgia • Today

Full-time

USD 68,500.00 per year

Data and Business Intelligence Analyst (IT, Business Process Sr.)

Redwire Space

Remote or Jacksonville, Florida • Today

Full-time

Senior BI Data Analyst

Kforce Technology Staffing

Remote or Miami, Florida • Today

Contract

$60 - $65 hourly

CDCE Data Analyst

Emory Healthcare

Atlanta, Georgia • Today

Full-time

Senior Looker BI & Semantic Engineer

Chabez Tech LLC

Remote • 10d ago

Easy Apply

Contract

Depends on Experience

Data Engineer - Oracle data integrator and BI

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

Senior Data Engineer/Snowflake/Atlanta, GA LOCAL

Motion Recruitment Partners, LLC

Atlanta, Georgia • Today

Easy Apply

Full-time

$145000 - $160000

Business Intelligence Analyst

Eliassen Group

Remote or Almont, Colorado • Today

Contract

Senior Data Engineer

QGenda

Atlanta, Georgia • Today

Full-time

Data Modeling Consultant / BI Business Analyst

Hayward Industries

Remote or Charlotte, North Carolina • Today

Full-time

Data Engineer (BI-focused)

Pivotal Solutions Inc

Remote • Today

Easy Apply

Contract

$30 - $50

Data Analyst/Engineer

Changeis Inc

Remote • Yesterday

Contract

120000 - 125000

DATA ANALYST

AaraTechnologies Inc

Remote or Hybrid in Kansas City, Missouri • Today

Easy Apply

Contract

$65,000 - $75,000

DATA ANALYST

AaraTechnologies Inc

Remote or Hybrid in Jersey City, New Jersey • Yesterday

Easy Apply

Contract

$65,000 - $75,000

DATA ANALYST

AaraTechnologies Inc

Remote or Hybrid in Texas City, Texas • 3d ago

Easy Apply

Contract

$65,000 - $75,000

DATA ANALYST

AaraTechnologies Inc

Remote or Hybrid in Delaware City, Delaware • 7d ago

Easy Apply

Contract

$60,000 - $65,000

Data Analyst

Eliassen Group

Remote or Almont, Colorado • Today

Contract

Data Analyst - Finance & Accounting

RGP

Remote • 23d ago

Easy Apply

Contract

70 - 85

Data Analyst

Brightspeed

Remote or Charlotte, North Carolina • Today

Full-time

Lead Analyst, Healthcare Analytics (Data Stewardship & Enterprise Reporting) - Remote

Molina Healthcare

Remote • Today

Full-time

USD 65,791.66 - 142,548.59 per year

Data Analyst

General Dynamics

Remote • Today

Full-time

USD 72,250.00 - 97,750.00 per year

Senior Data Analyst - Healthcare Remote

City of Hope

Remote • Today

Full-time

USD 44.90 - 69.59 per hour

Information Technology Analyst IV (Cloud Data Engineer)

Solano County

Remote or Fairfield, California • Today

Full-time

USD 129,874.83 - 157,863.66 per year

Data Reporting Analyst (HealthTech)

AssistRx

Remote or Orlando, Florida • Today

Full-time

Lead Data Analyst, Marketing

Launch Potato

Remote • Today

Full-time

Data Analyst, Revenue Operations

NMI

Remote • Today

Full-time

USD 65,000.00 - 85,000.00 per year

Data Analyst (Remote)

Elder Research

Remote • Today

Full-time

Job Details

Skills

Sourcing
Optical Fiber
Decision-making
Root Cause Analysis
Collaboration
Partnership
Usability
Business Intelligence
Business Process
Modeling
SQL
Data Analysis
Data Processing
Workflow
Dashboard
Visualization
Data Quality
Data Modeling
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Snow Flake Schema
Python
Apache Spark
Terraform
Data Warehouse
Cloud Computing
Telecommunications
Finance
KPI
Semantics
Databricks
Data Engineering
Microsoft Power BI
Analytical Skill
Reporting
Analytics

Sourcing
Optical Fiber
Decision-making
Root Cause Analysis
Collaboration
Partnership
Usability
Business Intelligence
Business Process
Modeling
SQL
Data Analysis
Data Processing
Workflow
Dashboard
Visualization
Data Quality
Data Modeling
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Snow Flake Schema
Python
Apache Spark
Terraform
Data Warehouse
Cloud Computing
Telecommunications
Finance
KPI
Semantics
Databricks
Data Engineering
Microsoft Power BI
Analytical Skill
Reporting
Analytics

Summary

DATA ANALYST/BI ENGINEER

Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta,

GA - Hybrid (3 days/week on-site)

Required Skills: Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development)

Preferred : Snowflake, Python, Terraforma

We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.

While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development. This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.

The ideal candidate is equally comfortable working across raw data, transformation logic, analytical modeling, and front-end reporting. They enjoy solving difficult problems, thrive in ambiguity, and continuously ask questions to understand not only what happened, but also why it happened, where the data came from, how it should be modeled, and how insights should be delivered to the business in a trusted and scalable way.

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic, validating outputs, and delivering insights through dashboards, reports, and executive readouts. They are naturally driven to investigate, learn the business, understand source systems, and uncover relationships across domains that others may overlook.

This role supports strategic business initiatives across Fiber, Connected Communities, Mobility, customer, revenue, operational, and financial domains. The individual is expected to partner closely with business stakeholders, develop a deep understanding of the business, and create scalable, trusted, and well-engineered data and reporting solutions that support executive decision-making.

Key Responsibilities

Analyze and integrate data across multiple applications, source systems, and business domains.
Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
Transform fragmented and complex data into clear, business-relevant stories and recommendations.
Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

What Makes Someone Successful in This Role

The strongest individuals in this role are not simply SQL developers, report builders, or dashboard creators. They are end-to-end problem solvers who can connect business needs, data engineering, analytics, and reporting into scalable solutions.

They:

Possess strong analytical curiosity and a desire to deeply understand how the business works.
Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.
Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.
Can connect disparate pieces of information into a complete, accurate, and actionable story.
Are comfortable working through ambiguity and incomplete requirements.
Ask thoughtful questions and challenge assumptions.
Take ownership of finding the right answer, not just the quickest answer.
Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.
Can move seamlessly from raw data to business-ready insight and visualization.
Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.
Translate complex technical findings into clear business recommendations and executive-ready outputs.
Demonstrate persistence, intellectual curiosity, and a passion for learning.
Balance speed with rigor, ensuring that solutions are both actionable and sustainable.

Qualifications

Required

Strong SQL development and data analysis experience.
Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
Experience working with large and complex datasets across multiple systems.
Strong problem-solving and analytical skills.
Ability to investigate and reconcile data across multiple platforms and source systems.
Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
Excellent communication and stakeholder management skills.
Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred

Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
Experience with modern cloud-based analytics platforms and data engineering frameworks.
Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
Experience working with cross-functional teams in a fast-paced environment.
Familiarity with KPI governance, executive reporting, and semantic layer design.

Our Philosophy

Databricks, data engineering capability, Power BI expertise, analytical curiosity, and business understanding determine your success.

The best people in this role become trusted advisors because they understand the business, understand the data, and know how to engineer scalable solutions and deliver trusted insights through effective reporting. They do not simply build reports-they build reliable data foundations, create meaningful visualizations, uncover insights, solve complex problems, and help the organization make better decisions through end-to-end analytics

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL155990
Position Id: d468be0ec91d9405f46766d55ae439bb
Posted 6 hours ago

Fitment

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Job Details

Skills

Sourcing
Optical Fiber
Decision-making
Root Cause Analysis
Collaboration
Partnership
Usability
Business Intelligence
Business Process
Modeling
SQL
Data Analysis
Data Processing
Workflow
Dashboard
Visualization
Data Quality
Data Modeling
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Snow Flake Schema
Python
Apache Spark
Terraform
Data Warehouse
Cloud Computing
Telecommunications
Finance
KPI
Semantics
Databricks
Data Engineering
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Analytical Skill
Reporting
Analytics

Sourcing
Optical Fiber
Decision-making
Root Cause Analysis
Collaboration
Partnership
Usability
Business Intelligence
Business Process
Modeling
SQL
Data Analysis
Data Processing
Workflow
Dashboard
Visualization
Data Quality
Data Modeling
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Snow Flake Schema
Python
Apache Spark
Terraform
Data Warehouse
Cloud Computing
Telecommunications
Finance
KPI
Semantics
Databricks
Data Engineering
Microsoft Power BI
Analytical Skill
Reporting
Analytics

Summary

Analyze and integrate data across multiple applications, source systems, and business domains.
Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
Transform fragmented and complex data into clear, business-relevant stories and recommendations.
Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

Possess strong analytical curiosity and a desire to deeply understand how the business works.
Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.
Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.
Can connect disparate pieces of information into a complete, accurate, and actionable story.
Are comfortable working through ambiguity and incomplete requirements.
Ask thoughtful questions and challenge assumptions.
Take ownership of finding the right answer, not just the quickest answer.
Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.
Can move seamlessly from raw data to business-ready insight and visualization.
Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.
Translate complex technical findings into clear business recommendations and executive-ready outputs.
Demonstrate persistence, intellectual curiosity, and a passion for learning.
Balance speed with rigor, ensuring that solutions are both actionable and sustainable.

Qualifications

Required

Strong SQL development and data analysis experience.
Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
Experience working with large and complex datasets across multiple systems.
Strong problem-solving and analytical skills.
Ability to investigate and reconcile data across multiple platforms and source systems.
Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
Excellent communication and stakeholder management skills.
Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred

Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
Experience with modern cloud-based analytics platforms and data engineering frameworks.
Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
Experience working with cross-functional teams in a fast-paced environment.
Familiarity with KPI governance, executive reporting, and semantic layer design.

Dice Id: RTL155990
Position Id: d468be0ec91d9405f46766d55ae439bb
Posted 6 hours ago

Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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