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Marketing Data Analyst

Job in Post Falls, Kootenai County, Idaho, 83854, USA
Listing for: Pig Improvement Company
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Role Overview

PIC, a Genus PLC company, has an exciting opportunity. We are looking for a Marketing Data Aanlyst. This is a 6-month, contract based position.

This role will support the implementation of a Microsoft Dynamics 365 CRM integration with a future marketing technology stack. This is a contract role scoped to data readiness: auditing, cleaning, and structuring CRM data and assessing system integration requirements before any additional marketing technology is introduced.

You Will
  • Audit and profile existing D365 CRM data to identify gaps, duplicates, inconsistencies, and structural issues across accounts, contacts, and related records.
  • Execute data cleansing and standardization, with documented criteria and outcomes for each data set.
  • Map current data flows between D365 and any connected systems. Document what exists, what is broken, and what is missing.
  • Define and document data integration requirements for future martech tools (e.g., Hubspot, Demandbase, 6sense, or account-based platforms). Do not configure or implement those tools; prepare the data layer for them.
  • Deliver a written integration readiness assessment, including data quality scores, system gaps, and a prioritized list of remediation items.
  • Write and test SQL queries or ETL scripts needed to support data extraction, transformation, and validation.
Requirements

Basic:

  • Demonstrated experience with Microsoft Dynamics 365, specifically data structures, entities, and reporting.
  • Proficiency in SQL for data extraction, profiling, and transformation.
  • Experience conducting CRM data audits and producing data quality documentation.
  • Experience with cloud data platforms (Azure preferred, given D365 environment).
  • Familiarity with ETL processes and data pipeline fundamentals.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.

Preferred:

  • Exposure to B2B marketing data models, including account-level data structures.
  • Prior work with account-based marketing platforms at the data layer level.

Our vision is clear:
Pioneering animal genetic improvement to help nourish the world.

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