Analytics Developer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
60K-85K Annually
Junior
eCommerce • Sales
The Role
Own Microsoft Fabric data refresh pipelines, Power BI semantic models, dashboards, dataflows, and data quality scorecards. Build internal applications and automations supporting Sales Operations, automate reporting workflows, and translate business questions into DAX measures and analytical solutions. Manage BI deliverables through requirements, development, QA, stakeholder review, and maintenance while documenting data definitions and improving legacy reporting processes.
Summary Generated by Built In

We’re looking for an Analytics Developer to own the technical backbone of our Revenue Intelligence & Analytics team. You’ll keep our Microsoft Fabric pipelines and Power BI models running and trusted, and you’ll build the apps and automations that take manual work off the Sales Operations team.


This is a hands-on build role. You’ll start by owning our daily data refresh pipeline, then take on a growing share of internal application development using modern, AI-assisted tools. As the team grows, there is a clear path to a Senior or BI Lead role.


Key Responsibilities

 

Data Pipelines & Platform Operations

  • Own the daily Microsoft Fabric refresh pipeline: scheduling, monitoring, and recovery when source systems run late
  • Partner with the database and IT teams to track upstream delays and pause or rerun refreshes as data comes online
  • Maintain Power BI semantic models and dataflows, including performance, row-level security, and refresh reliability
  • Document pipelines, models, and data definitions, and contribute to the Sales Operations SOP library, so the team has a clear map of what data feeds what

Applications & Automation Development

  • Help build internal Fabric apps and automations (e.g., territory management, bonus administration) that replace manual Sales Operations work
  • Use version control, separate dev/test/prod environments, and peer review so what we ship is supportable

Dashboard Development & Business Intelligence

  • Design, build, and maintain Power BI dashboards and reports used by sales leadership, regional managers, and operations stakeholders
  • Translate business questions into analytical solutions: defining data models, DAX measures, and visual layouts that surface actionable insight
  • Own the full lifecycle of each BI deliverable: requirements gathering, development, QA, stakeholder review, and ongoing maintenance
  • Proactively identify opportunities to consolidate, retire, or automate legacy reports that no longer serve a decision-making function
  • Maintain a data quality scorecard tracking duplicate rates, missing fields, and stale records across key data sources, with periodic reporting to leadership

Sales Reporting & Process Improvement

  • Identify, propose, and help implement process improvements for manual or inefficient workflows within the sales operations function
  • Automate routine sales reports, pipeline views, territory summaries, and order recaps so reps and managers get reliable, consistent data
  • Support ad-hoc analytical requests from sales leadership, providing clean, well-documented outputs with appropriate context and caveats

Requirements

  • 1+ years of experience in a BI, analytics development, or data engineering role, including something you have owned in production (a pipeline, scheduled job, or data model)
  • Hands-on Power BI experience including report and dashboard development, DAX measures, and data modeling
  • Working SQL skills: joins, window functions, and troubleshooting slow or broken queries
  • Hands-on experience with Microsoft Fabric or a comparable platform (Azure Data Factory, Databricks, Snowflake)
  • Experience with Git or another version control tool
  • Organized and self-directed; able to manage multiple recurring workflows and project deliverables without close supervision
  • Experience working with CRM or ERP data (Microsoft Dynamics or SAP preferred)
  • Comfort with data quality concepts e.g. duplicate records, missing fields, metric tie-outs
  • Clear communicator who can translate analytical outputs for non-technical stakeholders across Sales, Finance, and IT

Nice to Have

  • Python or PySpark for data transformation and automation
  • Experience with SAP, Snowflake, IBM Cognos, or similar enterprise ERP and reporting environments
  • Familiarity with Power Automate or similar workflow automation tools
  • Experience building apps or automations with AI-assisted development tools (e.g., GitHub Copilot, Claude Code)

Pay Range:

$60,000.00 USD - $85,000.00 USD Annually

What We Offer

  • A commitment that Safety is #1
  • Competitive benefits including:
    • Medical, dental, and vision insurance
    • 401(k) with company match
    • Paid time off and paid holidays
    • Life and disability insurance
  • Career growth, stability, and flexible work arrangements.

Responsible Manufacturing – Protecting Our Planet for the Future

  • We utilize renewable energy and a closed loop recycled water process.
  • We are committed to reducing greenhouse emissions and water consumption.
  • We are the only flooring company recognized by the Asthma and Allergy foundation.

Who we are:

With a history of more than 140 years, Tarkett is a worldwide leader in innovative and sustainable flooring and sport surface solutions, generating turnover of €3.3 billion in 2025. The Group has close to 12,000 employees, 25 R&D centers, 8 recycling centers and 33 production sites. Tarkett creates and manufactures solutions for hospitals, schools, housing, hotels, offices, stores and sports fields, serving customers in over 100 countries. To build “The Way to Better Floors,” the Group is committed to circular economy and sustainability, in line with its Tarkett Human‐Conscious Design® approach.


www.tarkett-group.com


Tarkett is an equal opportunity employer. We value diversity in backgrounds and in experiences and promote an inclusive workplace where all employees can perform at their best.

Skills Required

  • 1+ years of experience in BI, analytics development, or data engineering, including production ownership of a pipeline, scheduled job, or data model
  • Hands-on Power BI experience with report and dashboard development, DAX measures, and data modeling
  • Working SQL skills, including joins, window functions, and troubleshooting slow or broken queries
  • Hands-on experience with Microsoft Fabric or a comparable platform such as Azure Data Factory, Databricks, or Snowflake
  • Experience with Git or another version control tool
  • Ability to manage recurring workflows and project deliverables independently
  • Experience working with CRM or ERP data; Microsoft Dynamics or SAP preferred
  • Understanding of data quality concepts, including duplicate records, missing fields, and metric tie-outs
  • Clear communication skills for translating analytical outputs to non-technical stakeholders
  • Python or PySpark experience for data transformation and automation
  • Experience with SAP, Snowflake, IBM Cognos, or similar enterprise ERP and reporting environments
  • Familiarity with Power Automate or similar workflow automation tools
  • Experience building apps or automations with AI-assisted development tools such as GitHub Copilot or Claude Code
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The Company
HQ: Paris
5,826 Employees

What We Do

With a history of more than 140 years, Tarkett is a worldwide leader in innovative and sustainable flooring and sports surface solutions, generating net sales of € 3.4 billion in 2022. The Group employs 12,000 employees and has 25 R&D centers, 8 recycling centers and 34 production sites. Tarkett creates and manufactures solutions for hospitals, schools, housing, hotels, offices, stores and sports fields, serving customers in over 100 countries. To build “The Way to Better Floors,” the Group is committed to circular economy and sustainability, in line with its Tarkett Human‐Conscious Design® approach. Tarkett is listed on the Euronext regulated market (compartment B, ISIN: FR0004188670, ticker: TKTT) www.tarkett‐group.com

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