Service Analytics Data Analyst

HP•Vancouver, WA

About The Position

Service Analytics Data Analyst Description - Job Summary The Data Analyst, Program Analytics will be a member of the Service Analytics organization, partnering closely with cross-functional stakeholders to define the analytics agenda, translate business objectives into clear requirements, and drive the delivery and adoption of insights. Lead analytics initiatives for a program service by shaping a prioritized roadmap of both tactical and strategic analyses, with a focus on metrics such as funnel conversion, subscriber growth, churn rate, and other key user-base trends. Support a standardized intake and prioritization process and embed insights into regular business reviews, ensuring analytics is integrated into decision cycles across the organization. Perform analytics using Python and SQL to support data-driven decisions.

Requirements

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Agile Methodolog
Business Intelligence
Computer Science
Dashboard
Data Analysis
Data Management
Data Modeling
Data Quality
Data Science
Data Visualization
Data Warehousing
Extract Transform Load (ETL)
Machine Learning
Power BI
Python (Programming Language)
R (Programming Language)
SAS (Software)
SQL (Programming Language)
Statistics
Tableau (Business Intelligence Software)

Nice To Haves

Programming Language/s Certification (SQL, Python, or similar)

Responsibilities

Partner with stakeholders to obtain requirements, define success metrics, and translate business questions into analytical initiatives.
Shape and maintain an analytics program roadmap, prioritizing projects by business impact, strategic alignment, and resource availability.
Define and monitor KPIs, such as funnel conversion, subscriber growth, churn rate, and other user-base trends, to measure program performance and inform decision-making.
Support a standardized intake and prioritization process, ensuring transparency and alignment on analytics requests.
Collaborate with data engineers, analysts, and BI developers to coordinate the delivery of reports, dashboards, and perform ad hoc analyses.
Review draft findings and refine narratives, crafting clear visualizations and presentations that guide executive and operational reviews.
Embed insights into regular business forums, team meetings, leadership reviews, program checkpoints, so analytics drives action across the organization.
Perform analytics using SQL and Python to support data-driven decision making and empower stakeholders with timely, accurate insights.
Develop insights-driven dashboards to monitor key service metrics, empowering stakeholders with clear, actionable visualizations.
Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
Identifies new opportunities, technologies, and partner collaborations to bring value to the business and data science domain.
Represents the business at data science events, forums, boards.
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science/analytics domain initiatives and conferences.
Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave