What are the responsibilities and job description for the Decision Science Analyst – Ecommerce position at H-E-B?
Responsibilities
H-E-B is a 115-year-old grocery retailer, and we're a leading innovator in technology. Recently, we've been investing in our customers' digital experiences, using the best available technologies to deliver modern engagement, reliability, and scalability to meet their needs.
As a Decision Science Analyst - eCommerce, this role will focus on linking clickstream and event-level data with completed transactional data to understand how different parts of the site and app drive sales, margin, and profitability. The Decision Science Analyst will connect pre-purchase digital behavior (navigation paths, feature usage, funnel progression) with post-purchase outcomes (orders, revenue, discounts, and profit) to evaluate performance at a granular level.
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.
Do You Have a
HEART FOR PEOPLE... ability to work in a cross-functional, team-driven environment?
HEAD FOR BUSINESS... experience in analytical and statistical modeling?
PASSION FOR RESULTS... drive to turn data into actionable business recommendations?
We Are Looking For
Design & Development / Analytics
H-E-B is a 115-year-old grocery retailer, and we're a leading innovator in technology. Recently, we've been investing in our customers' digital experiences, using the best available technologies to deliver modern engagement, reliability, and scalability to meet their needs.
As a Decision Science Analyst - eCommerce, this role will focus on linking clickstream and event-level data with completed transactional data to understand how different parts of the site and app drive sales, margin, and profitability. The Decision Science Analyst will connect pre-purchase digital behavior (navigation paths, feature usage, funnel progression) with post-purchase outcomes (orders, revenue, discounts, and profit) to evaluate performance at a granular level.
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.
Do You Have a
HEART FOR PEOPLE... ability to work in a cross-functional, team-driven environment?
HEAD FOR BUSINESS... experience in analytical and statistical modeling?
PASSION FOR RESULTS... drive to turn data into actionable business recommendations?
We Are Looking For
- 2 years of relevant experience, preferably in retail / other consumer-facing industry
- Experience working with clickstream or event-based data
- E-Commerce experience highly preferred
- Experience in statistical programming languages (R, Python, SQL) and familiarity with big data ecosystems (Databricks, Spark, etc.), relational DBs, SQL, business intelligence and visualization tools (Tableau or MicroStrategy, etc.)
Design & Development / Analytics
- Evaluate digital experiences based on revenue and profit impact, not just engagement or conversion metrics
- Identify which site and app surfaces drive the highest-value transactions, informing prioritization of product and UX investments.
- Measure the true financial impact of experiments, releases, and feature changes, including downstream effects on average order value, discounting, and margin.
- Support trade-off decisions between growth, conversion, and profitability by providing clear, data-backed insight.
- Create a shared source of truth between product, analytics, and finance by aligning behavioral data with transactional results
- Mines / validates / cleanses data
- Works across several data platforms (e.g., clickstream, web analytics, transactional data, unaggregated customer data)
- 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 ad hoc analysis upon request
- 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
- A related degree or comparable formal training, certification, or work experience
- 2 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
- Working knowledge of typical data science techniques (e.g., classification, regression, and optimization)
- 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
- 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
- Thrive in a fast-paced retail environment with rapidly shifting market-driven priorities