Senior Data Insights Analyst

This role is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad-hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports.

Responsibilities

Participates as a senior member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.

Creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.

Reviews and assesses existing reporting suite with a view of modernization through automation and process improvement.

Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.

Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.

Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.

Drives innovation and integration of new Data Science related technologies and practices into projects and activities in the R&D organizations.

Provides guidance and mentoring to less- experienced staff members.

Applies advanced subject matter knowledge, leads, and contributes to complex projects, and exercises independent judgment in resolving business issues and establishing policies.

Develops and builds productive internal/external working relationships and may provide mentoring and guidance to lower-level employees.

Education & Experience Recommended

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 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications

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

Knowledge & Skills

Agile Methodology

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)

Cross-Org Skills

Effective Communication

Results Orientation

Learning Agility

Digital Fluency

Customer Centricity

Impact & Scope

Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

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