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Data & Analytics Tech Lead

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Georgia Pacific
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Your Job

Join the IT Data & Analytics:
Packaging & Cellulose Delivery Team supporting the Corrugated business. As a Tech Lead, you will design, build, optimize, and support enterprise-scale BI and analytics solutions across Microsoft BI platforms and cloud data ecosystems. You will act as a technical lead, influence the analytics roadmap, and deliver high-quality, scalable solutions that enable data-driven decision making.

What You Will Do
  • Provide technical leadership, mentor BI developers/data engineers, and partner with business stakeholders to translate requirements into solutions.
  • Design and develop SSAS multidimensional and tabular semantic models (OLAP cubes, Tabular models).
  • Create and optimize MDX and DAX expressions for complex analytics.
  • Build and maintain enterprise semantic layers for consistent reporting.
  • Apply dimensional modeling (star/snowflake), define grain, surrogate key strategies, and SCD approaches.
  • Design, implement, and maintain ETL/ELT pipelines using SSIS and cloud-native ETL tools.
  • Integrate data from enterprise apps, data lakes, external sources, and APIs while ensuring data quality and auditability.
  • Design and optimize cloud data solutions (preferred AWS: S3, Redshift, Glue, Lambda, Step Functions, Athena, Dynamo

    DB).
  • Develop and optimize Power BI semantic models, datasets, and reports; apply RLS and performance best practices.
  • Tune performance across SSAS, Power BI, and Redshift (partitioning, indexing, aggregations, refresh strategies).
Who You Are (Basic Qualifications)
  • Proven experience designing and delivering enterprise BI/analytics solutions.
  • Hands‑on experience with Microsoft BI stack: SSIS, SSAS (multidimensional and/or tabular), and Power BI.
  • Advanced TSQL skills and experience optimizing queries.
  • Strong understanding of data warehouse design, dimensional modeling, and star schemas.
  • Experience building ETL pipelines with SSIS and/or cloud ETL tools.
  • Working knowledge of cloud data platforms, preferably AWS (S3, Redshift, Glue, Lambda, Athena).
  • Experience with data lakes, enterprise data stores, and external data source integration.
  • Strong analytical thinking and independent problem‑solving skills.
What Will Put You Ahead
  • Prior technical lead experience for BI or data platform initiatives.
  • Deep hands‑on experience with AWS orchestration and automation (Glue, Step Functions, Lambda, Dynamo

    DB, Redshift).
  • Experience integrating on‑premises and cloud data platforms.
  • Familiarity with CI/CD, version control, and automated deployments for BI solutions.
  • Domain exposure to manufacturing, supply chain, packaging, or logistics analytics.
Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E‑Verify. Please  for additional information. (For Illinois E‑Verify information , aquí, or tu).

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