Lead the enterprise analytics organization, delivering trusted business intelligence, operational reporting, executive dashboards, and advanced analytical solutions.
Compensation
The compensation range for this position is: $180,000.00 - $200,000.00 per year.
Responsibilities
Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics
Requirements
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
Design, build and maintain the data foundation that connects the company's products, CRM, finance systems and operational tools to trusted reporting and analytics.
Responsibilities
Build and maintain reliable ETL/ELT pipelines from product databases, finance systems, CRM and other sources into the central platform
Develop integrations using SQL, APIs, Python and cloud services
Design scalable schemas and data models for shared company, user, CRM, product-usage, finance and operational data
Implement incremental loads, testing, logging, retries, alerting and monitoring
Write readable, secure, version-controlled code and manage performance, access, scalability and cost
Requirements
relevant degree, diploma or equivalent practical experience
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Compensation
Exempt roles are also performance bonus eligible
Responsibilities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS, and third-party sources using batch and, where appropriate, streaming patterns.
Use SQL and Python or PySpark to transform, validate, and optimize large and complex datasets.
Design and maintain reusable data structures across raw, refined, and curated layers, applying dimensional modeling and star schema principles where appropriate.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance, observability, and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field, or an equivalent combination of education and experience.
Base Salary Range: $104,000.00 - $156,000.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.
Responsibilities
Design, develop, and maintain enterprise‑level data models to support analytics, reporting, and integration needs.
Build high‑quality dashboards, semantic models, and datasets using Microsoft Power BI.
Leverage Microsoft Fabric capabilities—including Lakehouse, Dataflows Gen2, Pipelines, Semantic Models, and Notebooks—to build scalable modern analytics solutions.
Develop DAX measures, Power Query transformations, and dataflows to create governed, reusable data assets.
Understand and interpret Oracle E‑Business Suite (R12) and Oracle Fusion Cloud ERP data structures, tables, and reporting layers.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent work experience).
Seeking a talented Senior Data Engineer with strong experience in Python and Snowflake to design, develop, and maintain scalable data integration solutions using PySpark, Snowflake, and modern cloud data platform technologies.
Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines using Python (PySpark), Snowflake, and cloud-native integration technologies.
Build reliable, efficient, and reusable data ingestion, transformation, and loading processes to support enterprise analytics and reporting needs.
Utilize Snowflake's architecture and capabilities to design, build, and optimize modern cloud data solutions.
Implement and manage Snowflake objects including databases, schemas, tables, views, streams, tasks, stages, and stored procedures.
Leverage Snowflake features such as virtual warehouses, data sharing, time travel, and automated scaling to maximize performance and cost efficiency.
We're looking for a EIM Architect who will be fully dedicated to our Enterprise Data Platform (EDP) — a modern, GCP-native platform that supports both the migration of workloads from our legacy on-premises EDW and the build-out of net-new enterprise data products across marketing, customer, supply chain, and other retail business domains.
The Analytics Engineer builds and supports the reporting, data preparation, and business solutions layer of the technology environments NextEra delivers to its clients, turning curated client data into reliable semantic models, reports, and practical solutions.
Lead requirements gathering and translate business needs into scalable analytics and data solutions, design dashboards, partner with Analytics Engineering, manage migration to Snowflake, and mentor team.
Compensation
The Base Salary range for this position is between $105,000-$135,000.
Responsibilities
Lead requirements gathering and translate business needs into technical specifications for analytics solutions and data products.
Design complex dashboards, semantic models, and scalable self-service analytics that meet user needs and functional requirements.
Partner with Analytics Engineering to define and develop canonical models and gold-layer curated datasets in Snowflake, including SQL and dbt transformations, tests, documentation, and data quality controls.
Identify and responsibly implement approved AI-assisted tools and automation to improve efficiency in SQL and dbt development, documentation, testing, migration, data quality, and user support while maintaining human review, security, and data governance.
Lead migration of dashboards, semantic models, and other analytical assets to curated Snowflake views through source mapping, reconciliation, validation, and controlled retirement of legacy dependencies.
Requirements
Bachelor's or Master's degree in Analytics, Statistics, Computer Science, Business, or a related field
L.L.Bean uses a market-based compensation approach. The anticipated starting base pay for this position is $120,200.00 - $150,200.00. Individual compensation may vary based on factors such as a candidate’s experience, qualifications, education, geographic location, skills, competencies, and proficiency for the role.
Responsibilities
Design end-to-end data solutions on EDP — spanning ingestion, transformation, and consumption — for both migration waves and net-new use cases, taking designs from conceptual through logical and physical models.
Define source-to-target mappings and transformation designs, including handling of data types, nulls, defaults, slowly changing dimensions, and business rule logic.
Make hands-on GCP service selection and design decisions across BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage — balancing performance, cost, security, and operability.
Design dimensional and analytics-ready data models (star schemas, fact/dimension structures) that align with downstream BI and consumption needs.
Apply security, access, and least-privilege design principles at the dataset and domain level in line with platform standards.
Requirements
Bachelor's degree in a relevant field or equivalent work experience.
Nice to have: Experience in retail, consumer, or omni-channel domains
Nice to have: Prior work on platform modernization or EDW-to-GCP migration
Data EngineerNewLiquid Thought · Somerset West, South Africa