Data Analytics and Reporting Subject Matter Expert, SME

Gainwell Technologies

. Collaborate with team members and stakeholders to define key business metrics and gather requirements .

Posted 9/17/2026full-timeRemote • Alaska • United StatesMid-LevelSenior💰 $51,900 - $74,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Data Analytics, with a strong focus on Python and Business Intelligence tools like Tableau and Power BI. Capable of architecting data pipelines and designing dashboards while collaborating effectively with stakeholders to drive data-driven improvements.

Highest-signal resume keywords

Data Analytics ExperiencePython ProgrammingBusiness Intelligence VisualizationData Querying and AnalysisDashboard Design

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 AnalyticsPythonData Scripting LanguagesData QueryingData AnalysisDashboard DesignData Pipeline ArchitectureBusiness Intelligence ToolsData Infrastructure MaintenanceDocumentation

Soft Skills

CollaborationCommunication

Tools & Technologies

CognosTableauPower BI

Industry Keywords

Data MetricsData-Driven ImprovementsStakeholder EngagementInfrastructure ChangesEmerging Data Analytic Toolkits

Tech Stack

Tools & technologies

CognosPythonTableau

About the role

Key responsibilities & impact

Collaborate with team members and stakeholders to define key business metrics and gather requirements
Architect data pipelines
Design and build dashboards for stakeholders
Maintain and improve existing data infrastructure and dashboards based on evolving business requirements
Publish and maintain clear documentation to inform and educate users at scale
Implement infrastructure changes to improve data landing time
Partner with leadership to identify data-driven improvements, surface risks or issues, and support solution-based initiatives

Requirements

What you’ll need

5 years of Data Analytics experience
Experience in Python and/or other data scripting languages
Experience utilizing a business intelligence visualization tool such as Cognos, Tableau, or Power BI
Experience querying, analyzing, and working with data languages and platforms to investigate large and diverse data sets
Ability to learn and apply newly emerging data analytic toolkits depending on the problem statement
Must be willing to work from 8AM–5PM AKST
Video cameras must be used during all interviews and the initial week of orientation

Benefits

Comp & perks

Work flexibility
Learning and career development
Technical credentials and certifications
Generous, flexible vacation policy
Educational assistance
Leadership and technical development academies
Opportunity to travel through work up to 25% of the time
401(k) employer match
Comprehensive health benefits
Equal opportunity employment