Decision Science Analyst II

Key Skills

Big Data Technology, Data science techniques, Databricks, Decision Science, Effective communication skills, Presentation skills, Python Programming, R Programming, SPARK Programming, SQL, Tableau

Job Description

We are looking for:

 5+ years of relevant experience, preferably in retail / other consumer-facing industry

What is the work?

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)

 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 large, enterprise-wide projects

 Mentors / coaches

What is your background?

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

 5+ years of relevant experience, preferably in retail / other consumer-facing industry

 Expertise in business domain

 Experience in statistical programming languages (R, Python, SQL)

 Experience in relational databases such as Teradata or Oracle and big data platforms

 Experience in data extraction, cleansing, validating, and curating

Do you have what it takes to be a fit as a Decision Science Analyst at H-E-B?

 Working knowledge of typical data science techniques (e.g., classification, regression, and optimization)

 Expert 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 large, enterprise-wide 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