Analytics Engagement Manager I

Public Partnerships | PPL

Analytics Engagement Manager I supporting data-driven decision-making through analytics at Public Partnerships LLC. Collaborating across teams to improve program performance with data insights.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $104,000 - $117,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Proficient in SQL and Python for data analysis and reporting, with a strong foundation in data modeling concepts. Capable of managing analytics projects, delivering insights, and communicating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

SQL Query DevelopmentPython Data AnalysisData Modeling ConceptsAnalytics Project ManagementCommunication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisReportingData ManipulationData TransformationQuality AssuranceDashboard DevelopmentResearchRequirements GatheringSolution DevelopmentBusiness Intelligence

Soft Skills

Excellent CommunicationTime ManagementProblem-SolvingCollaborationIndependence

Tools & Technologies

SQLPythonAnalytical ToolsReporting SolutionsDashboards

Industry Keywords

Analytics InitiativesBusiness Decision-MakingOperational ChallengesCross-Functional CollaborationQuantitative Field

Tech Stack

Tools & technologies

PythonSQL

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 defined business questions and operational challenges.
Assist in requirements gathering, project planning, and solution development for analytics engagements.
Manage assigned deliverables and timelines while proactively communicating risks, dependencies, and obstacles.
Contribute to the development of dashboards, reports, and analytical tools that support business decision-making.
Develop, maintain, and optimize SQL queries, datasets, and reporting solutions.
Utilize Python and related analytical tools to perform data manipulation, analysis, and automation activities.
Support data transformation, validation, and quality assurance processes.
Collaborate with managers, senior managers, and cross-functional business partners to understand analytical needs and deliver meaningful insights.

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 with demonstrated ability to develop complex queries utilizing joins, common table expressions (CTEs), aggregations, and window functions.
Working knowledge of Python for data analysis, data manipulation, and automation.
Understanding of data modeling concepts, including conceptual, logical, and physical data models.
Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
Ability to manage multiple priorities and work independently within established deadlines.

Benefits

Comp & perks

Health insurance
Professional development opportunities