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Data Analyst
Pretzels, Inc
Dallas, QAT
Full Time
Mid
4 weeks ago
DatabricksSQLPythonPower BIDAXData Modeling
Free
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DatabricksSQLPython
About the Role
Hershey is seeking a Data Analyst to build and maintain analytics solutions driving product and business decisions. The role involves querying data in Databricks, developing Power BI dashboards, and supporting the semantic layer.
Key Skills for This Role
DatabricksSQLPythonPower BIDAXData Modeling
Responsibilities
- Write and optimize SQL and Python queries in Databricks to extract, transform, and analyze large scale product and business data sets for stakeholder consumption
- Design, build, and maintain Power BI reports and dashboards that surface SaaS KPIs such as ARR, churn, NRR, and product adoption metrics for cross functional teams
- Support the development and maintenance of the enterprise semantic layer to ensure consistent metric definitions, business logic, and governed data access across reporting tools
- Partner with product, engineering, finance, and GTM teams to scope analytical requests, deliver ad hoc analyses, and translate findings into actionable recommendations
- Monitor data freshness and accuracy, troubleshoot pipeline issues in collaboration with data engineering, and ensure reporting surfaces reflect trusted, governed data
Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related quantitative field
- 2–4 years of professional experience in a data analyst or analytics engineering role, ideally within a SaaS or technology company
- Hands on experience with Databricks and Power BI required
- Strong hands on skills in Databricks (Spark SQL, notebooks, Delta Lake) and advanced SQL for data transformation, analysis, and pipeline support
- Familiarity with Power BI (DAX, data modeling, service administration) for dashboard development and self service enablement
- Understanding of semantic layer concepts, dimensional modeling, and metric frameworks
- Ability to translate complex data findings into clear, stakeholder ready narratives and visualizations
Full Job Posting
Data Analyst
- The Data Analyst is responsible for building and maintaining analytics solutions that drive product and business decisions across the organization. This role involves querying and transforming data in Databricks, developing interactive dashboards in Power BI, contributing to the semantic layer for c
Responsibilities
- Databricks Analytics: Write and optimize SQL and Python queries in Databricks to extract, transform, and analyze large scale product and business data sets for stakeholder consumption.
- Power BI Dashboard Development: Design, build, and maintain Power BI reports and dashboards that surface SaaS KPIs such as ARR, churn, NRR, and product adoption metrics for cross functional teams.
- Semantic Layer Contribution: Support the development and maintenance of the enterprise semantic layer to ensure consistent metric definitions, business logic, and governed data access across reporting tools.
- Cross Functional Analytics Support: Partner with product, engineering, finance, and GTM teams to scope analytical requests, deliver ad hoc analyses, and translate findings into actionable recommendations.
- Data Quality and Pipeline Support: Monitor data freshness and accuracy, troubleshoot pipeline issues in collaboration with data engineering, and ensure reporting surfaces reflect trusted, governed data.
Qualifications
- Databricks and SQL Proficiency: Strong hands on skills in Databricks (Spark SQL, notebooks, Delta Lake) and advanced SQL for data transformation, analysis, and pipeline support. Familiarity with Power BI (DAX, data modeling, service administration) for dashboard development and self service enableme
- Semantic Layer and Data Modeling: Understanding of semantic layer concepts, dimensional modeling, and metric frameworks to ensure consistent, governed definitions across reporting tools. Exposure to AI/BI features (e.g., Databricks AI/BI dashboards, Genie spaces) is a plus.
- Analytical Communication: Ability to translate complex data findings into clear, stakeholder ready narratives and visualizations. Comfortable presenting to product, engineering, and business audiences and partnering across teams to scope and deliver analytical work.
Education & Experience
- Education: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related quantitative field.
- Experience: 2–4 years of professional experience in a data analyst or analytics engineering role, ideally within a SaaS or technology company. Hands on experience with Databricks and Power BI required. Exposure to semantic layer tooling, AI/BI enablement features, or data governance frameworks is pr
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