

Customer Data and Insights Manager
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Customer Data and Insights Manager, offering $60-$62/hour for 6+ months remotely. Key skills include SQL, ETL, Tableau, and Python. A Bachelor's degree and B2B data architecture experience are required; no C2C or visa sponsorships available.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
496
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ποΈ - Date discovered
August 12, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Visualization #Databases #Python #"ETL (Extract #Transform #Load)" #Databricks #dbt (data build tool) #Data Integration #Data Architecture #Datasets #Data Pipeline #Scala #Tableau #Stories #SQL (Structured Query Language) #AI (Artificial Intelligence) #Storytelling
Role description
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Hello
Looking for a Customer Data and Insights Manager β Remote Roles
Pay Rate: $60-$62/hour
Duration: 6+months with possibility of longer-term extensions
Client is not open to C2C, H1B, TN Visa, 1099, F1 β CPT & OPT
If interested, please email your resume to grace.johnson@motionrecruitment.com
Must Haves:
Strong background in Analytics Engineering (not seeking candidates with Voice of the Customer exp)
Demonstrated exp w/relational databases & complexities of establishing data relationships - SQL experience.
Significant knowledge in ETL processes, ability to create and manage your own ETL processes
Experience with data visualization tools, Tableau experience
Familiarity with DBT processes (acting SME), Qualtrics experience or willingness to learn required
Bachelorβs Degree
Experience in managing data architecture in a B2B environment
Familiarity with systems integrations fundamentals
Experience with Python and Databricks
Daily Responsibilities
Apply advanced analytical judgment and deep domain expertise to uncover nuanced, non-obvious insights from disparate datasets, transcending automated correlations to drive strategic decisions.
Drive the strategic vision and evolution of our VoC data integration framework, designing resilient, scalable infrastructure that anticipates future needs and technological shifts.
Curate and interpret Quarterly VoC reporting to tell compelling, human-centric stories, synthesizing complex data into clear narratives that reveal nuanced wins, challenges, and opportunities beyond raw data.
Partner proactively with stakeholders to deeply understand operational needs, then architect bespoke data pipelines to precisely capture critical data events and address business challenges.
Establish proactive, adaptive methodologies for data pipeline management, anticipating and strategically responding to upstream data shifts for long-term stability and integrity.
Collaborate to co-create impactful and ethically sound data visualizations, ensuring compelling stories while upholding high standards for confidentiality, ethical representation, and analytical rigor.
Champion innovative AI applications to enhance customer storytelling with profound understanding and empathy, exploring new frontiers in AI-driven insights while ensuring a human-centered CX approach.