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Decision Science Analyst II - Customer Data

San Antonio, TX, US • Posted 3 days ago • Updated 2 hours ago

Full Time

On-site

USD 101,200.00 per year

Fitment

Dice Job Match Score™

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Job Details

Skills

Science
Purchasing
Dimensional Modeling
Return On Investment
Web Analytics
Statistical Models
k-means clustering
A/B Testing
Reasoning
Analytics
Marketing
Investments
Dashboard
Programming Languages
R
Python
PySpark
Relational Databases
Teradata
Oracle
Data Extraction
Data Science
Regression Analysis
Optimization
Big Data
Databricks
Apache Spark
SQL
Business Intelligence
Visualization
Tableau
MicroStrategy
Research
Analytical Skill
Communication
Presentations
Mentorship
Coaching
Reporting
Cross-functional Team
Training
Retail

Summary

Responsibilities

Job Summary: As a Decision Science Analyst, you'll extract, explore, validate, and cleanse data using advanced coding techniques. You'll design and apply analytical and statistical models to segment, describe, and understand our customers and their purchasing habits and proclivities. You'll serve as a strategic thought Partner, providing perspective and recommendations to solve business challenges.

Key Responsibilities & Essential Functions:

Design & Development / Analytics:

Using coding techniques (predominately SQL and Python), aggregates billions of data records to measure customer behavior changes in multiple dimensions (e.g., customer count and value, frequency of purchase, average purchase size, ROI)

Mines / validates / cleanses data

Works across several data platforms (e.g., clickstream, web analytics, transactional data, unaggregated customer data)

Applies advanced analytical and statistical models to segment / understand our customer (e.g., k-means clustering, a/b testing)

Applies experience, knowledge, intuition to dig for insights to share through enterprise tools (e.g., Tableau, MicroStrategy)

Enterprise Tableau dashboard building

Asks questions to identify deeper reasoning behind business questions

Translates / tests / connects data findings into actionable business insights

Provides customer insights and in-depth analytics on marketing initiatives (e.g., pre- / post-campaign)

Develops / deploys experiments and data science models to measure customer loyalty, habits, tendencies, affinities, and propensities to reliably predict behavior and prescribe initiatives, strategies, tactics

Provides ad hoc analysis upon request

Advising:

Serves as a strategic thought Partner / team member of assigned team; provides perspective on business challenges

Serves as the data-expert in cross-functional groups to optimize H-E-B marketing investments and assortment decisions

Provides day-to-day broad visibility into customer learnings and impact through ongoing performance dashboards / metrics

Summarizes for / shares insights with business stakeholders, informally and in formal presentations

Aligns with executive-level stakeholders on prioritizing initiatives

Leads projects

Mentors / coaches

The responsibilities and essential functions outlined above describe the general nature and level of work assigned to this position. This is not an exhaustive list of all duties, responsibilities, and skills required. Duties and responsibilities may be modified at any time based on business needs. Employees may be required to perform other job-related tasks as requested by their supervisor, subject to reasonable accommodations.

Qualifications & Key Requirements:

Work Experience:

3 years of relevant experience , preferably in retail / other consumer-facing industry
Expertise in business domain
Experience in programming languages (R , Python (PySpark experience a plus) ,SQL)
Experience in relational databases such as Teradata, Oracle, and big data platforms
Experience in data extraction, cleansing, validating, and curating

Knowledge/Skills/Abilities:

Working knowledge of typical data science techniques (e.g., classification, regression, and optimization)
Strong working understanding of data exploration, applying analytical tools, and how to advise business stakeholders
Familiarity with big data ecosystems (Databricks, Spark, etc.), relational DBs, SQL, business intelligence and visualization tools (Tableau or MicroStrategy, etc.)
Strong research and analytical skills
Strong critical and lateral thinking skills, Verbal / written communication and presentation skills
Mentoring / coaching skills
Ability to lead projects
Ability to turn data into actionable recommendations (vs. just reporting data)
Ability to solve ambiguous, unstructured problems
Ability to present / explain deliverables to non-technical stakeholders
Ability to work within a cross-functional, team-driven structure

Education:

A related degree or comparable formal training, certification, or work experience

Licenses/Certifications:

Physical Demands & Working Conditions:

Thrive in a fast-paced retail environment with rapidly shifting market-driven priorities

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10216253
Position Id: 37e89e1e2ec0f4f657359db10d5eaf6a
Posted 3 days ago

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