Data Analyst, Visualization Specialist

DevTech Systems, Inc.

. Explore and analyze complex operational, financial, and programmatic datasets to identify patterns, anomalies, and trends .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $80,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, visualization, and automation, utilizing tools such as Tableau, PowerBI, Python, and R to produce actionable insights. Capable of communicating complex analytical findings to diverse audiences while fostering an inclusive work environment.

Highest-signal resume keywords

Data AnalysisTableauPowerBIPythonAutomation Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Exploratory Data AnalysisStatistical AnalysisDashboardingData ValidationPredictive AnalyticsMachine LearningETL/ELTSQLData EngineeringCloud Technologies

Soft Skills

Analytical ThinkingProblem-SolvingInterpersonal SkillsTime ManagementCommunication

Tools & Technologies

TableauPowerBIPythonRAzureDatabricksAI ToolsAutomation Tools

Industry Keywords

Data ScienceComputer ScienceEconomicsStatisticsInformation SystemsData QualityData VisualizationClient EngagementPolicy AnalysisResource Allocation

Tech Stack

Tools & technologies

AzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Explore and analyze complex operational, financial, and programmatic datasets to identify patterns, anomalies, and trends
Query databases and ensure data quality through validation, verification, and standardization across multiple data sources
Visualize data using Tableau, PowerBI, and other applications in clear, accurate, and appealing presentations
Use automation and AI tools to improve efficiency and productivity, and assist clients in doing the same
Produce actionable insights that inform policy, resource allocation, and program design
Support predictive analytics or light machine-learning workflows where appropriate
Communicate analytical findings to technical and non-technical audiences
Serve as a subject-matter resource for data best practices
Work with clients to understand data needs and translate them into analytical or technical solutions
Provide training, informal guidance, and practical tools to staff
Take on adjacent responsibilities as needed in a small, fast-moving team
Engage in continuous learning about new data technologies and their client applications
Model behaviors supporting a non-hostile, nondiscriminatory, inclusive work environment

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Economics, Statistics, Information Systems, or a related field
Master’s degree or equivalent experience preferred
Experience with exploratory data analysis, statistical analysis, and dashboarding
Strong experience with Tableau or PowerBI
Solid knowledge of Python or R
Experience with automation and AI tools and their judicious application for increasing efficiency and productivity
Familiarity with data engineering approaches, including management of pipelines, ETL/ELT, SQL, and cloud tools preferred
Familiarity with cloud environments and platforms such as Azure and Databricks preferred
Strong analytical thinking, problem-solving skills, and intellectual curiosity
Ability to explain complex concepts to diverse stakeholders
Ability to work independently and as part of a team
Multi-tasking and time-management skills, with the ability to prioritize tasks
Excellent interpersonal skills
U.S. citizenship required to qualify for the required U.S. government security clearance

Benefits

Comp & perks

Possibility of remote work, pending approval
Inclusive work environment
Autonomy with professional support for learning, growth, and development