Virginia

Data Jobs in Virginia

322 jobs found

Include remote jobs

Today

Data Engineer & Automation Developer

Guidehouse Inc. Arlington, VA

Arlington, VA

Today

Full time Backend Developer Python Api Integration

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Job Description

Guidehouse Inc. is seeking a Data Engineer & Automation Developer to help design and maintain automated, data-driven workflows and integrations. This onsite role in Arlington, VA supports client-focused initiatives that combine Python and Databricks data automation with Microsoft Power Platform solutions and API-based data cataloging.

Role Summary

In this position, you will build and maintain workflows that ingest and transform data from multiple sources and file types, support data cataloging through APIs, and create authentication workbooks that enable connections between data sources and cataloging tools. You will also develop Power Apps solutions within the Microsoft Power Platform and communicate technical findings to both technical and non-technical audiences, including leadership.

Responsibilities

Use strong technical skills and a mission-focused mindset to understand client needs, identify opportunities, and design data-driven solutions.
Leverage Python and Databricks to create and maintain automated workflows for data cataloging via APIs, including ingesting and transforming data from various sources and file types.
Create and maintain authentication workbooks that support connections from data sources to cataloging tools.
Use the Microsoft Power Platform to create and maintain Power Apps solutions.
Communicate clearly to translate technical findings for technical and non-technical audiences, including leadership.
Engage directly with clients to gather requirements, adapt solutions to mission needs, and move initiatives forward.

Required Qualifications

ACTIVE and MAINTAINED “SECRET” Federal or DoD security clearance.
Bachelor’s degree.
Two (2) years of relevant professional experience in data analysis, data science, data engineering, or data visualization.
Experience creating and maintaining automated workflows using Python in Databricks to catalog data using APIs for ingesting and transforming data from various sources and file types.
Experience creating and maintaining authentication workbooks for connections from data sources to cataloging tools such as Alation.
Experience using Microsoft Power Platform and creating and maintaining Power Apps.
Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Technologies

Python
Databricks
Microsoft Power Platform
Power Apps
APIs
Alation

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Clearance and Travel

Clearance required: Active Secret
Travel required: None

What Would Be Nice to Have

Three (3) or more years of relevant professional experience.
Experience working in Databricks.
Familiarity with Agile team operations, such as sprint planning, standup calls, writing Jira stories, and backlog refinement.
Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation.
Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
Experience performing data engineering, such as Extract-Transform-Load (ETL) and managing databases.
Experience working in the Microsoft Power Platform and creating and maintaining Power Apps.
Experience working with data cataloging and metadata.
Experience working with APIs.
Familiarity with Alation.
Ability to support business development including RFP, RFQ, and RFI responses and white papers.
Relevant experience supporting Department of State or other Federal Government organizations.

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Today

Associate Data Engineer

ECPI University Virginia Beach, VA

Virginia Beach, VA

Today

$70k - $82k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

ECPI University is building and maintaining a cloud data platform on Snowflake, and the Associate Data Engineer role supports that work end to end. In this entry-level position, you will develop and maintain pipelines that move data from the University’s enterprise systems into Snowflake so teams can deliver reporting, analytics, and data-driven decision making in a highly regulated environment.

Working alongside experienced engineers under the Senior Director of Solution Architecture, you will follow established architectural patterns and quality standards, with structured mentorship and code review. The role also includes a defined progression path toward the Data Engineer level.

What you’ll do

Build and maintain data ingestion and transformation pipelines that load data from enterprise source systems into Snowflake according to established architectural patterns.
Write, test, and tune SQL for transformation, validation, and reconciliation tasks.
Support scheduled data loads, monitor job execution, and escalate failures with clear diagnostic detail.
Reconcile data between source systems and Snowflake to confirm completeness and accuracy.
Create and run automated data quality checks, documenting exceptions for resolution.
Investigate reported data discrepancies, trace them to their origin, and communicate findings clearly.
Use AI coding assistants (for example, GitHub Copilot) as part of daily work, validating every generated query, transformation, or script before committing.
Submit changes through pull requests in GitHub and move work through automated build, test, and deployment processes.
Automate recurring manual tasks rather than repeating them, and apply native AI capabilities in the platform such as Snowflake Cortex under senior engineering direction.
Follow University guidelines for AI-assisted development, including keeping sensitive student and institutional data out of external tools.
Document pipeline logic, data lineage, and table definitions so colleagues can maintain and extend the work.
Participate in code review, design discussions, and Agile (Scrum) ceremonies, collaborating with analysts and functional staff to confirm delivered data sets meet the need.
Build depth in Snowflake, SQL, and Python through mentorship and structured learning, including certification support such as SnowPro Core.
Perform other duties as assigned.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Systems, Analytics, or a related field.
Zero to two years of professional experience.
Working knowledge of SQL, including joins, aggregation, and subqueries, with the ability to reason about whether a query returned the right answer.
Foundational understanding of relational database concepts and data modeling.
Familiarity with Python or a comparable language used in data work.
Version control with Git, including branching and pull requests, and willingness to work within a code review process.
Practical use of AI coding assistants with sound validation judgment.
Understanding of CI/CD concepts and willingness to work where automated tests must pass before deployment.
Strong attention to detail, clear written and verbal communication, and sound judgment in handling sensitive student and institutional data.

Technologies you’ll work with

Snowflake, SQL, Python
Git, GitHub, GitHub Copilot
Snowflake Cortex, GitHub Actions, Azure DevOps, Azure, AWS
dbt, ELT, ETL
Power BI, Tableau, CI/CD, Agile (Scrum)

Position details

Location: Virginia Beach, VA (onsite)
Salary: USD 70,000 - 82,000 per yearly

Preferred qualifications

Exposure to Snowflake or another cloud data platform through coursework, certification, or hands-on work.
Exposure to dbt, ELT or ETL tooling, or automated data testing frameworks.
Exposure to GitHub Actions, Azure DevOps, or another CI/CD platform.
Exposure to Azure or AWS cloud services, or to Power BI or Tableau.
Awareness of FERPA or comparable data privacy requirements in a regulated environment.

Working conditions

Professionally communicate in person, over the telephone, and through email; move about the school and offices; handle various types of media and equipment; and visually observe and assess.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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Today

Data Engineer

ECPI University Virginia Beach, VA

Virginia Beach, VA

Today

$105k - $128k/yr Full time Apache Airflow Automation Azure Data Factory

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Job Description

ECPI University is hiring an onsite Data Engineer to design, build, and take ownership of end-to-end pipelines and modeled datasets for its Snowflake data platform. In this hands-on role, you will collaborate closely with the Senior Director of Solution Architecture while helping modernize how data is integrated, transformed, governed, and used across the institution.

What you’ll do

Design, build, and own end-to-end pipelines that ingest data from enterprise SaaS applications, student systems, and operational databases into Snowflake, choosing the right approach across batch, API extraction, change data capture, and near real-time streaming.
Implement transformation logic in SQL and Python as version-controlled, tested, and documented code, with orchestration for both scheduled and event-driven workloads.
Partner on platform architecture with the Senior Director of Solution Architecture, including layering strategy, standards, and reusable patterns.
Create dimensional, analytics-ready data models that support reporting, analytics, and downstream integrations, translating needs from academic, enrollment, financial aid, student services, and administrative stakeholders into durable models.
Establish certified datasets as the authoritative source for key institutional measures, retiring redundant reports and manual extracts they replace.
Own operational reliability for assigned pipelines, including monitoring, alerting, incident response, and root cause analysis, and implement automated data quality tests for freshness, completeness, uniqueness, and business rules.
Tune Snowflake for performance and cost, including warehouse sizing, clustering, query optimization, and resource monitors, while implementing role-based access control, masking, and least-privilege access consistent with FERPA, GLBA, and University policy.
Run CI/CD for data platform code using GitHub Actions or comparable tooling, with automated build, test, deployment, environment promotion, rollback, and automated tests enforced as a deployment gate.
Manage data platform objects as code to keep environments reproducible and changes reviewable, replacing manual data movement, reconciliation, and hand-run reports with automation.
Set standards for AI-assisted engineering practice, including effective prompting, rigorous review of generated code, accountability for output ownership, and contributing to University governance for AI-assisted development.
Design and implement solutions using Snowflake native AI capabilities such as Snowflake Cortex functions, embeddings, and vector search, and advise when a native capability is the right choice versus an external service.
Mentor the Associate Data Engineer and other colleagues through code review, pairing, and instruction, and define standards and reference implementations used by the team.
Communicate technical tradeoffs clearly to technical and non-technical audiences, including IT leadership, and perform other duties as assigned.

What you bring

Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent combination of education and experience), plus 4+ years of professional data engineering experience, including 2+ years hands-on in Snowflake.
Production Snowflake depth across virtual warehouses, micro-partitioning, clustering, streams and tasks, Snowpipe, and time travel, plus experience with roles, grants, and masking policies, and demonstrated ability to diagnose and resolve performance and cost issues.
Advanced SQL (window functions, CTEs, incremental and merge patterns), plus proficiency in Python for data engineering and working knowledge of dimensional modeling.
Experience with dbt or a comparable modular, tested approach to SQL transformations, and orchestration tooling such as Airflow, Dagster, Azure Data Factory, or Snowflake tasks.
Experience with ETL/ELT tooling for ingestion and orchestration, such as Snowflake Openflow (Apache NiFi), Snaplogic, Fivetran, Matillion, or a comparable integration platform.
Demonstrated CI/CD experience for data or software delivery using GitHub Actions, Azure DevOps, or comparable tooling, including automated data testing enforced in the pipeline.
Daily, practical use of AI coding assistants in production engineering with a disciplined validation habit, including the ability to describe where these tools accelerate work and where they can mislead.
Ability to resolve ambiguity independently and communicate clearly with functional stakeholders in an Agile (Scrum) environment.

Helpful background (preferred)

SnowPro Advanced Data Engineer or SnowPro Core certification, or hands-on experience with Snowflake Cortex, embeddings, or vector search.
Experience in Azure or AWS (storage, identity, and secrets management) or infrastructure as code such as Terraform.
Higher education experience, including student information systems, learning management systems, institutional reporting, or integration of a major HCM, ERP, or enrollment CRM platform.
Experience establishing AI-assisted development standards for a team or mentoring junior engineers.

Compensation and benefits

Base salary: $105,000 to $128,000 per year (midpoint near $115,000).

Tuition scholarship program for full-time employees and immediate family members after 90 days of employment
Competitive compensation and medical and dental benefit plans
PTO and holiday pay
401(k) participation with possible employer contributions

Location and working conditions

Location: Virginia Beach, VA (onsite). This is not a remote position.

Physical demands are representative of those required to perform essential job functions. The employee must be able to communicate professionally in person, over the telephone, and through email; move about the school and offices; handle various types of media and equipment; and visually observe and assess. Reasonable accommodations may be made for individuals with disabilities.

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Today

JIATF 401 Data Engineer

CACI Alexandria, VA

Alexandria, VA

Today

$87k - $182k/yr Full time Analytics Artificial Intelligence Business Intelligence

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Job Description

CACI is seeking a JIATF 401 Data Engineer to help build scalable data architectures and AI-enabled analytics that turn operational and intelligence data into actionable insight for C-UAS operations, assessments, acquisition decisions, and strategic planning. This onsite role in Alexandria, VA supports mission teams with data pipelines, decision-support products, and common operating picture deliverables.

In this full-time, regular position, you will design and maintain data systems that collect, integrate, process, and manage information from multiple operational, intelligence, and enterprise sources. The work combines data engineering, analytics development, and AI-enabled automation to improve data quality, accessibility, and usability across the organization.

Responsibilities

Design, develop, and maintain scalable data pipelines for collection, integration, processing, and management of data from operational, intelligence, and enterprise sources.
Use Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support mission analysis, operational assessments, and decision-making.
Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability.
Create dashboards, reports, data visualizations, and common operating picture products that communicate complex information clearly.
Apply artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics.
Conduct data mining, data scraping, and data exploitation activities across structured and unstructured data to identify relevant information.
Develop and maintain data models, databases, data dictionaries, and metadata repositories for enterprise data management needs.
Partner with engineers, analysts, operators, and stakeholders to define data requirements and deliver analytical solutions aligned to mission objectives.
Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes.
Produce technical documentation, data management plans, analytical reports, and executive-level briefings for senior military and civilian leadership.
Ensure data integrity, security, and compliance with applicable policies, standards, and governance requirements.
Identify opportunities to improve data architectures, automation workflows, and analytical methods to increase efficiency and effectiveness.
Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts through data-driven analysis and decision support.
Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to strengthen organizational capability.

Requirements

Active Top Secret/SCI Clearance (minimum clearance required to start: TS/SCI).
BA/BS with 4+ years (AA/AS with 8+ years; HS/GED with 10+ years).
Demonstrated experience working with large, complex datasets and enterprise-level data environments.
Experience using Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms.
Proficiency with Python for data engineering, automation, analytics, and transformation work.
Experience building interactive dashboards and data visualizations using Power BI or similar BI platforms.
Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics solutions for operational decision-making.
Knowledge of ETL/ELT, data integration methods, database management, and data architecture principles.
Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources.
Strong proficiency with Microsoft Office Suite, including creating technical documentation, analytical reports, and executive-level briefings.
Ability to translate complex analytical findings into concise, actionable recommendations for senior leadership.
Experience developing performance metrics, analytical frameworks, and decision-support products.
Proven ability to collaborate with cross-functional teams in dynamic operational environments.

Technologies

Maven Smart System (MSS)
Palantir
Power BI
Python
Artificial intelligence
Machine learning
ETL/ELT
Microsoft Office Suite

Benefits

Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Flexible time off benefit
Robust learning resources

Additional Information

Location: Alexandria, VA (onsite)
Salary: USD 86,600 - 181,800 per yearly
Travel: Continental US
Travel required: Up to 50%
Job category: Information Technology

Desired

Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems.
Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices.
Experience integrating AI capabilities into operational workflows and mission support activities.

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Today

Data Engineer

Youth Villages Chesterfield, VA

Chesterfield, VA

Today

Full time Analytics Big Data Business Analytics

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Job Description

You’ll help Youth Villages design and modernize cloud-based data foundations that power trusted reporting, analytics, and day-to-day operational decisions. This onsite role in Chesterfield, VA focuses on building scalable ELT/ETL pipelines, developing and optimizing Snowflake data warehouse structures, and strengthening data governance, quality, and modernization of legacy reporting workflows.

What you’ll bring

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field (preferred)
ETL/ELT experience developing and implementing enterprise data solutions (required)
Experience with Snowflake, SQL Server, MySQL, Fivetran, Coalesce, and GitHub (preferred)
SQL strength including query development and query optimization
Agile experience
Data warehousing concepts and data governance best practices
Strong organizational skills, attention to detail, and effective written, verbal, and oral communication
Ability to manage multiple priorities and maintain a flexible schedule
Comfort supporting secure and compliant handling of sensitive PHI data

Key responsibilities

Build scalable cloud data solutions that adapt as business needs and source systems change
Design, develop, and maintain ELT/ETL pipelines using modern cloud technologies and data integration platforms
Develop and optimize data ingestion and transformation processes using Snowflake, SQL Server, MySQL, Fivetran, Coalesce, SQL, and GitHub
Maintain and improve enterprise data warehouse structures, curated datasets, and transformation logic supporting reporting and analytics
Optimize SQL queries and warehouse performance for accuracy, scalability, and efficiency
Collaborate with business and technical teams to translate requirements into technical solutions
Monitor, troubleshoot, and improve data workflows and production data processes
Support data governance with metadata management, lineage tracking, documentation, and data quality validation
Diagram and document data flows, integrations, schemas, and transformation logic
Support Tableau initiatives by delivering validated, high-quality datasets for dashboards and analytics
Participate in Agile activities including sprint planning, estimation, backlog grooming, and release support
Perform other duties as assigned

Growth and benefits

You can expect a benefits package that includes:

Medical, Dental, Prescription Drug Coverage, and Vision
401(k)
Time off: 2 week paid vacation (full-time) / 1 week paid vacation (part-time), plus 12 paid sick days per year and 11 paid holidays
Paid Parental Leave
Mileage & Cell Phone Reimbursement (when applicable)
Tuition reimbursement and licensure supervision
Growth & development through continuous training
Clinical and administrative advancement opportunities
Benefits are excluded for variable status employees.

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Today

Senior Data Engineer

Steampunk McLean, VA

McLean, VA

Today

$140k - $180k/yr Full time Senior Apache Airflow AWS

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Job Description

Steampunk is hiring a Senior Data Engineer (onsite) to design and deliver enterprise-grade data platforms, services, and pipelines using Databricks.

Responsibilities

Lead and architect data migrations using Databricks, with emphasis on performance, reliability, and scalability
Assess and understand existing ETL jobs, workflows, data marts, BI tools, and reports
Respond to technical inquiries related to customization, integration, enterprise architecture, and feature/functionality of data products
Support an Agile software development lifecycle
Contribute to the growth of the AI & Data Exploitation Practice
Inspect existing data pipelines, identify their purpose and functionality, and re-implement them efficiently in Databricks

Requirements

Current ICE US Public Trust Clearance (Full Background Investigation)
Ability to hold a position of public trust with the US government
5–7 years industry experience coding commercial software and a passion for solving complex problems
5–7 years direct experience in Data Engineering, including experience with:
- Big data tools: Databricks, Apache Spark, Delta Lake, etc.
- Relational SQL (preferably T-SQL; alternatively pgSQL, MySQL)
- Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.
- AWS and Azure cloud services (for example: Databricks on AWS, S3, EC2, RDS)
- Object-oriented/object function scripting languages: PySpark/Python, Java, C++, Scala, etc.
- Data lakehouse architecture and Delta Lake/Apache Iceberg
Advanced working knowledge of SQL, including query authoring and optimization, plus working familiarity with a variety of databases
Experience manipulating, processing, and extracting value from large, disconnected datasets
Experience manipulating structured and unstructured data
Experience architecting data systems (transactional and warehouses)
Experience with SDLC, CI/CD, and operating in dev/test/prod environments
Commitment to data governance
Experience working in an Agile environment
Experience supporting project teams of developers and data scientists building web-based interfaces, dashboards, reports, and analytics/machine learning models
Plus: Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone

Technologies

Databricks
SQL, T-SQL, pgSQL, MySQL
PySpark, Python
Apache Spark
Delta Lake
Databricks Workflows, Airflow, Step Functions
AWS, Azure
S3, EC2, RDS
Java, C++, Scala
Data Lakehouse, Apache Iceberg
Informatica EDC, Unity Catalog, Collibra, Alation, Purview, DataZone
CI/CD, SDLC

Additional Information

Location: McLean, VA (onsite)
Salary: USD 140,000 - 180,000 per yearly
Minimum experience: 5 years

Identity Verification

During the application process, you are expected to be on camera during interviews and assessments
Steampunk reserves the right to take your picture to verify your identity and prevent fraud

Company Focus

Steampunk is a change agent in federal contracting, bringing new thinking to clients in Homeland and Federal Civil
Human-Centered delivery methodology emphasizes shared accountability for solving mission challenges

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Today

Data Scientist

Guidehouse Digital, LLC Norfolk, VA

Norfolk, VA

Today

Full time Advanced Analytics Analytics Artificial Intelligence

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Job Description

Guidehouse Digital, LLC is seeking a data scientist to help design, develop, and deploy advanced analytical models, predictive forecasting capabilities, and AI/ML solutions. This onsite role in Norfolk, VA supports Navy Reserve readiness, operational optimization, and mission assurance through decision-ready analytics products used by executive and operational leaders.

What you will do

Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities aligned to Navy Reserve readiness, operational optimization, and mission assurance objectives.
Lead data analytics product development, including dashboards and visualization tools that convert complex information into actionable insights for executives, operational leaders, and stakeholders.
Use statistical analysis, machine learning, data mining, and predictive modeling to evaluate trends, surface risks, optimize resource allocation, and improve decision-making.
Work with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendations.
Assess emerging analytics technologies, methodologies, and AI/ML capabilities to strengthen enterprise data solutions and support digital modernization efforts.

Required qualifications

Active and maintained “SECRET” Federal or DoD security clearance.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related quantitative discipline.
4+ years of professional experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products.
Experience using Python, SQL, Jupyter Notebook, Databricks, R (or similar analytics and data science tools) for data preparation, modeling, and visualization.
Experience building predictive, prescriptive, or forecasting models and communicating results to both technical and non-technical stakeholders.

Technologies you may use

Python, SQL, Jupyter Notebook, Databricks, R
Advana, Azure Data Services
Power BI, Tableau, Qlik
Microsoft Power Platform

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus

Additional details

Location: Norfolk, VA (onsite)
Travel required: Up to 10%
Job family: Data Science & Analysis
Clearance required: Active Secret

What would be nice to have

Master’s degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.
Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization.
Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools.
Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform.
Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.