Analytics Engagement Consultant

Public Partnerships | PPL

. Support the execution of analytics initiatives under the guidance of senior analytics leaders .

Posted 11/12/2026full-timeRemote • United StatesJuniorMid-Level💰 $98,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data analysis and reporting, with a strong ability to translate technical findings into actionable business insights. Proficient in developing dashboards and analytical tools while managing deliverables and collaborating with cross-functional teams.

Highest-signal resume keywords

Strong SQL SkillsPython Data AnalysisData Visualization with Power BIExperience with DatabricksAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL QueriesData AnalysisData ManipulationStatistical AnalysisPredictive ModelingData TransformationDashboard DevelopmentReporting SolutionsTrend AnalysisAnomaly Detection

Soft Skills

Excellent Communication SkillsCritical ThinkingProblem-SolvingCollaborationTime Management

Tools & Technologies

Power BITableauDatabricksSnowflakeAzure Data FactoryAzure Synapse

Industry Keywords

HealthcareMedicaidGovernment ProgramsFinancial ServicesRegulated Industries

Tech Stack

Tools & technologies

AzureCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Support the execution of analytics initiatives under the guidance of senior analytics leaders
Perform data analysis, reporting, and research to address business questions and operational challenges
Assist in requirements gathering, project planning, and solution development for analytics engagements
Manage assigned deliverables and timelines while communicating risks, dependencies, and obstacles
Develop dashboards, reports, and analytical tools supporting business decision-making
Develop, maintain, and optimize SQL queries, datasets, and reporting solutions
Use Python and related analytical tools for data manipulation, analysis, and automation
Support data transformation, validation, and quality assurance processes
Apply segmentation, trend analysis, descriptive statistics, and anomaly detection
Document methodologies, assumptions, business rules, and technical processes
Collaborate with managers, senior managers, and cross-functional business partners
Translate technical findings into recommendations for business audiences
Support presentations through written reports, dashboards, and verbal communications
Participate in code reviews, peer reviews, and knowledge-sharing activities
Contribute to analytics standards, methodologies, best practices, and continuous improvement
Stay current on emerging analytics technologies, tools, and industry trends
Perform other assigned duties

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Economics, Engineering, Information Systems, Mathematics, Business Analytics, or a related quantitative field; equivalent combination of education and experience may be considered
Two (2) to four (4) years of professional experience in analytics, business intelligence, data analysis, consulting, or a related field
Strong SQL skills, including joins, common table expressions (CTEs), aggregations, and window functions
Working knowledge of Python for data analysis, data manipulation, and automation
Understanding of conceptual, logical, and physical data models
Experience with modern data platforms and analytics technologies such as Databricks, Snowflake, Azure Data Factory, Azure Synapse, Power BI, Tableau, or similar tools
Experience working in healthcare, Medicaid, government programs, payroll operations, financial services, or other regulated industries
Familiarity with cloud-based data architectures and data transformation frameworks
Exposure to statistical analysis, predictive modeling, or data science methodologies
Experience supporting cross-functional business initiatives through analytics and reporting
Strong analytical, problem-solving, and critical-thinking skills
Excellent written and verbal communication skills, including explaining technical concepts to non-technical audiences
Ability to manage multiple priorities and work independently within established deadlines