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Data Analyst 2

Intelliswift Software · Plano, TX · Onsite

100100

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Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

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In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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Data Analyst 2 at Intelliswift Software. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Pay rate range - $45/hr. to $49/hr.

Schedule

Fully onsite

Description

Top skills

-SQL

-Tableau

-SAP

Specific responsibilities include

  • Design, build, and maintain operational reports and executive dashboards providing real-time and historical visibility into D2C fulfillment performance — refreshed on daily, weekly, and monthly cadences with accurate, validated data
  • Develop customized, interactive Tableau dashboards with self-service capabilities, filtering by warehouse, product category, carrier, time period, and KPI metric — aligned with Fulfillment Manager control tower monitoring workflows
  • Prepare reports and support stakeholders with deriving insights for Weekly Business Reviews (WBRs) and executive-level presentations
  • Build and maintain advanced Excel workbooks and templates for D2C fulfillment reporting, carrier forecasting models, and inventory tracking
  • Write, maintain, and optimize GCP SQL queries to extract, transform, and load fulfillment, inventory, and carrier shipment data from Client data warehouse — ensuring data accuracy and consistency by validating against SAP ERP, WMS, and OMS source systems
  • Mine, develop, and distribute data insights that will drive learnings and growth for the eCommerce Operations team
  • Analyze and develop insights for channel-specific operations data using multiple data sources including Tableau, Kibana, eCommerce business platforms, and other tools
  • Work closely with the Business Intelligence team to ensure data integrity across Fulfillment, Returns, Operations, and NPS dashboards
  • Build and maintain weekly outbound volume forecasting models incorporating historical shipment data, order trends, promotional calendars, and seasonality factors by carrier and warehouse
  • Track, report, and analyze weekly carrier forecast accuracy — measuring actual shipments vs. forecasted volumes by carrier and warehouse with variance commentary and trend analysis
  • Identify Key Performance Indicators (KPIs), develop a holistic measurement plan, and establish historical benchmarking
  • Apply deep fulfillment operational knowledge to ensure all reports and dashboards accurately reflect real-world D2C order flow, warehouse operations, and carrier logistics across Client fulfillment network
  • Responsible for various testing disciplines, including multivariate, A/B, and user testing to validate hypotheses with data-driven answers
  • Leverage predictive modeling techniques to provide data-driven thought leadership, helping the business identify areas for improvement in forward and reverse operations
  • Continually evolve analytics processes and tools; incorporate new data sources to improve understanding of Client digital business and operations
  • Proactively work with business units and cross-functional teams — including Category Management, D2C Sales, Finance, and Supply Chain — to understand and translate data-driven initiatives and potential opportunities
  • Utilize advanced data-driven insights to identify business growth opportunities and provide thought leadership to all levels of the organization

Background & Competencies Required

  • Bachelor's degree in Engineering, Computer Science, Business, or a related field
  • 2–3+ years of hands-on experience in Data Analytics, specifically within Operations, eCommerce, or Fulfillment environments
  • Proven experience creating and maintaining Tableau dashboards (or similar BI tools) for both operational and executive audiences
  • Experience building advanced Excel workbooks, including forecasting models and inventory tracking templates
  • Familiarity with SAP ERP, WMS, and OMS source systems for data validation purposes
  • Strong problem-solving ability with excellent communication and data presentation skills
  • Experience in an eCommerce and/or D2C Commerce environment

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