Business Analyst

Company: Swisslog Logistics Inc.

Location:

Atlanta, US

Additional posting countries (for remote jobs only):

Workplace: hybrid

Address Customer Location:

Where do people love what they do, and being great at what they do?

At Swisslog, that’s where! Our teams are the heart of a world-leading Robotics company that’s harnessing the power of technology to shape the future of intralogistics. The result? We’re transforming performance and efficiency for customers across the globe, giving them the vital edge in their markets.

Make an impact

Reporting & Dashboard Development:

Build and maintain Power BI dashboards that support sales pipeline visibility, forecasting, and KPI tracking.
Translate business requirements provided by the Rev Ops Leader into structured reporting outputs.
Ensure dashboards use standardized metrics, reliable data sources, and intuitive visual design.
Deliver concise visuals and commentary to support Sales and Marketing leadership reviews.

Data Connectedness & Data Infrastructure Support:

Partner with IT/Data teams to ensure the correct data from CRM/marketing automation/etc is pulled into our unified data lake and available
Monitor data pipelines to ensure continuity and troubleshoot issues that impact reporting.
Maintain documentation of data sources, definitions, and data flows.

CRM (Salesforce) Data Stewardship:

Support data hygiene efforts—duplicate identification, missing field remediation, account hierarchy maintenance, etc.
Assist in optimizing CRM fields, workflows, and validation rules to improve data quality and reporting accuracy.
Provide basic user support to Sales teams on reporting, CRM usage best practices, and data requirements.

Cross-Functional Collaboration:

Work with Marketing, Sales, Finance, and Customer Service to understand data needs and ensure reporting supports their workflows.
Assist in alignment between teams on KPI definitions, reporting calendars, and shared dashboards.
Support sales enablement content by providing data needed for playbooks or performance reviews.

Continuous Improvement:

Identify opportunities to improve data systems, reporting automation, and insight generation.
Bring forward recommendations to the Rev Ops Leader around tool enhancements or new BI practices

Additonal tasks:

Prepare professional‑quality presentations using PowerPoint to summarize insights and analytical findings.
Assist in reviewing external benchmarks, competitive data, and industry trends to support sales strategy.
Support basic market or customer segmentation analysis.

What you need to succeed

Essential:

Bachelor’s degree in Business, Analytics, Finance, Data Science, or related field.
At least 3 years of experience in business analysis, sales operations, revenue operations, or data analytics.
Hands‑on experience with Power BI (DAX, data modeling, visualization best practices).
Familiarity with Salesforce CRM or similar systems.
Basic understanding of data lake/warehouse concepts (ETL, SQL preferred).
Strong proficiency with Excel and other Microsoft Office applications.
Strong analytical thinking, attention to detail, and problem‑solving ability.
Same industrial experience is plus.

Our promise to you

Swisslog is a world of opportunity for people who can deliver a game changing mission: driving the future of intralogistics, by shaping an era of robotic and data-driven automated solutions that create exceptional customer value.

Join us on this journey and you’ll be part of a global enterprise that’s proud of its Swiss roots - and hugely excited by the worldwide opportunities open to everyone in the Swisslog family. So come and realize your potential, in a team that’s united by passion and driven by the OneSwisslog team spirit.

Join the journey!

We´re looking forward to receiving your application!

Talent Acquisition Manager: Mai Gamble

Note for United States job postings (EEO statement):
Swisslog is an Equal Opportunity Employer committed to building an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other factor protected by applicable federal, state or local laws.